Web Price Scraping Software
24 Best Free and Paid Web Scraping Tools and Software in …
Web scraping is the process of automating data extraction from websites on a large scale. With every field of work in the world becoming dependent on data, web scraping or web crawling methods are being increasingly used to gather data from the internet and gain insights for personal or business use. Web scraping tools and software allow you to download data in a structured CSV, Excel, or XML format and save time spent in manually copy-pasting this data. In this post, we take a look at some of the best free and paid web scraping tools and software.
Best Web Scraping Tools
Scrapy
ScrapeHero Cloud
Data Scraper (Chrome Extension)
Scraper (Chrome Extension)
ParseHub
OutWitHub
Visual Web Ripper
Diffbot
Octoparse
Web Scraper (Chrome Extension)
FMiner
Web Harvey
PySpider
Apify SDK
Content Grabber
Mozenda
Kimura
Cheerio
NodeCrawler
Puppeteer
Playwright
PJscrape
Additionally, Custom data scraping providers can be used in situations where data scraping tools and software are unable to meet the specific requirements or volume. These are easy to customize based on your scraping requirements and can be scaled up easily depending on your demand. Custom scraping can help tackle complex scraping use cases such as – Price Monitoring, Data Scraping API, Social Media Scraping and more.
How to use Web Scraper Tool?
Below, we have given a brief description of the tools listed earlier and then a quick walk through about how to use these web scraping tools so that you can quickly evaluate which data scraping tool meets your requirement.
Scrapy is an open source web scraping framework in Python used to build web scrapers. It gives you all the tools you need to efficiently extract data from websites, process them, and store them in your preferred structure and format. One of its main advantages is that it’s built on top of a Twisted asynchronous networking framework. If you have a large data scraping project and want to make it as efficient as possible with a lot of flexibility then you should definitely use this data scraping tool. You can export data into JSON, CSV and XML formats. What stands out about Scrapy is its ease of use, detailed documentation, and active community. It runs on Linux, Mac OS, and Windows systems.
ScrapeHero Cloud is a browser based web scraping platform. ScrapeHero has used its years of experience in web crawling to create affordable and easy to use pre-built crawlers and APIs to scrape data from websites such as Amazon, Google, Walmart, and more. The free trial version allows you to try out the scraper for its speed and reliability before signing up for a rapeHero Cloud DOES NOT require you to download any data scraping tools or software and spend time learning to use them. It is a browser based web scraper which can be used from any browser. You don’t need to know any programming skills or need to build a scraper, it is as simple as click, copy, paste and go!
In three steps you can set up a crawler – Open your browser, Create an account in ScrapeHero Cloud and select the crawler that you wish to run. Running a crawler in ScrapeHero Cloud is simple and requires you to provide the inputs and click “Gather Data” to run the crawler.
ScrapeHero Cloud crawlers allow you to to scrape data at high speeds and supports data export in JSON, CSV and Excel formats. To receive updated data, there is the option to schedule crawlers and deliver data directly to your Dropbox.
All ScrapeHero Cloud crawlers come with auto rotate proxies and the ability to run multiple crawlers in parallel. This allows you to scrape data from websites without worrying about getting blocked in a cost effective manner.
ScrapeHero Cloud provides Email support to it’s Free and Lite plan customers and Priority support to all other plans.
ScrapeHero Cloud crawlers can be customized based on customer needs as well. If you find a crawler not scraping a particular field you need, drop in an email and ScrapeHero Cloud team will get back to you with a custom plan.
Data ScraperData Scraper is a simple and free web scraping tool for extracting data from a single page into CSV and XSL data files. It is a personal browser extension that helps you transform data into a clean table format. You will need to install the plugin in a Google Chrome browser. The free version lets you scrape 500 pages per month, if you want to scrape more pages you have to upgrade to the paid plans.
ScraperScraper is a chrome extension for scraping simple web pages. It is a free web scraping tool which is easy to use and allows you to scrape a website’s content and upload the results to Google Docs or Excel spreadsheets. It can extract data from tables and convert it into a structured format.
ParsehubParseHub is a web based data scraping tool which is built to crawl single and multiple websites with the support for JavaScript, AJAX, cookies, sessions, and redirects. The application can analyze and grab data from websites and transform it into meaningful data. It uses machine learning technology to recognize the most complicated documents and generates the output file in JSON, CSV, Google Sheets or through rsehub is a desktop app available for Windows, Mac, and Linux users and works as a Firefox extension. The easy user-friendly web app can be built into the browser and has a well written documentation. It has all the advanced features like pagination, infinite scrolling pages, pop-ups, and navigation. You can even visualize the data from ParseHub into free version has a limit of 5 projects with 200 pages per run. If you buy Parsehub paid subscription you can get 20 private projects with 10, 000 pages per crawl and IP rotation.
OutWitHubOutwitHub is a data extractor built in a web browser. If you wish to use the software as an extension you have to download it from Firefox add-ons store. If you want to use the data scraping tool you just need to follow the instructions and run the application. OutwitHub can help you extract data from the web with no programming skills at all. It’s great for harvesting data that might not be accessible. OutwitHub is a free web scraping tool which is a great option if you need to scrape some data from the web quickly. With its automation features, it browses automatically through a series of web pages and performs extraction tasks. The data scraping tool can export the data into numerous formats (JSON, XLSX, SQL, HTML, CSV, etc. ) Web RipperVisual Web Ripper is a website scraping tool for automated data scraping. The tool collects data structures from pages or search results. Its has a user friendly interface and you can export data to CSV, XML, and Excel files. It can also extract data from dynamic websites including AJAX websites. You only have to configure a few templates and web scraper will figure out the rest. Visual Web Ripper provides scheduling options and you even get an email notification when a project you can clean, transform and visualize the data from the web. has a point to click interface to help you build a scraper. It can handle most of the data extraction automatically. You can export data into CSV, JSON and Excel provides detailed tutorials on their website so you can easily get started with your data scraping projects. If you want a deeper analysis of the data extracted you can get sights which will visualize the data in charts and graphs. DiffbotThe Diffbot application lets you configure crawlers that can go in and index websites and then process them using its automatic APIs for automatic data extraction from various web content. You can also write a custom extractor if automatic data extraction API doesn’t work for the websites you need. You can export data into CSV, JSON and Excel formats. OctoparseOctoparse is a visual website scraping tool that is easy to understand. Its point and click interface allows you to easily choose the fields you need to scrape from a website. Octoparse can handle both static and dynamic websites with AJAX, JavaScript, cookies and etc. The application also offers advanced cloud services which allows you to extract large amounts of data. You can export the scraped data in TXT, CSV, HTML or XLSX formats. Octoparse’s free version allows you to build up to 10 crawlers, but with the paid subscription plans you will get more features such as API and many anonymous IP proxies that will faster your extraction and fetch large volume of data in real time.
If you don’t like or want to code, ScrapeHero Cloud is just right for you!
Skip the hassle of installing software, programming and maintaining the code. Download this data using ScrapeHero cloud within seconds.
Get Started for Free
Web ScraperWeb scraper, a standalone chrome extension, is a free and easy tool for extracting data from web pages. Using the extension you can create and test a sitemap to see how the website should be traversed and what data should be extracted. With the sitemaps, you can easily navigate the site the way you want and the data can be later exported as a CSV.
FMinerFMiner is a visual web data extraction tool for web scraping and web screen scraping. Its intuitive user interface permits you to quickly harness the software’s powerful data mining engine to extract data from websites. In addition to the basic web scraping features it also has AJAX/Javascript processing and CAPTCHA solving. It can be run both on Windows and Mac OS and it does scraping using the internal browser. It has a 15-day freemium model till you can decide on using the paid subscription.
(formerly known as CloudScrape) supports data extraction from any website and requires no download. The software application provides different types of robots in order to scrape data – Crawlers, Extractors, Autobots, and Pipes. Extractor robots are the most advanced as it allows you to choose every action the robot needs to perform like clicking buttons and extracting screenshots. This data scraping tool offers anonymous proxies to hide your identity. also offers a number of integrations with third-party services. You can download the data directly to and Google Drive or export it as JSON or CSV formats. stores your data on its servers for 2 weeks before archiving it. If you need to scrape on a larger scale you can always get the paid version
Web HarveyWebHarvey’s visual web scraper has an inbuilt browser that allows you to scrape data such as from web pages. It has a point to click interface which makes selecting elements easy. The advantage of this scraper is that you do not have to create any code. The data can be saved into CSV, JSON, XML files. It can also be stored in a SQL database. WebHarvey has a multi-level category scraping feature that can follow each level of category links and scrape data from listing website scraping tool allows you to use regular expressions, offering more flexibility. You can set up proxy servers that will allow you to maintain a level of anonymity, by hiding your IP, while extracting data from SpiderPySpider is a web crawler written in Python. It supports Javascript pages and has a distributed architecture. This way you can have multiple crawlers. PySpider can store the data on a backend of your choosing such as MongoDB, MySQL, Redis, etc. You can use RabbitMQ, Beanstalk, and Redis as message of the advantages of PySpider is the easy to use UI where you can edit scripts, monitor ongoing tasks and view results. The data can be saved into JSON and CSV formats. If you are working with a website-based user interface, PySpider is the Internet scrape to consider. It also supports AJAX heavy websites. ApifyApify is a library which is a lot like Scrapy positioning itself as a universal web scraping library in JavaScript, with support for Puppeteer, Cheerio and its unique features like RequestQueue and AutoscaledPool, you can start with several URLs and then recursively follow links to other pages and can run the scraping tasks at the maximum capacity of the system respectively. Its available data formats are JSON, JSONL, CSV, XML, XLSX or HTML and available selector CSS. It supports any type of website and has built-in support of Apify SDK requires 8 or ntent GrabberContent Grabber is a visual web scraping tool that has a point-to-click interface to choose elements easily. Its interface allows pagination, infinite scrolling pages, and pop-ups. In addition, it has AJAX/Javascript processing, captcha solution, allows the use of regular expressions, and IP rotation (using Nohodo). You can export data in CSV, XLSX, JSON, and PDF formats. Intermediate programming skills are needed to use this zendaMozenda is an enterprise cloud-based web-scraping platform. It has a point-to-click interface and a user-friendly UI. It has two parts – an application to build the data extraction project and a Web Console to run agents, organize results and export data. They also provide API access to fetch data and have inbuilt storage integrations like FTP, Amazon S3, Dropbox and more. You can export data into CSV, XML, JSON or XLSX formats. Mozenda is good for handling large volumes of data. You will require more than basic coding skills to use this tool as it has a high learning muraiKimurai is a web scraping framework in Ruby used to build scraper and extract data. It works out of the box with Headless Chromium/Firefox, PhantomJS, or simple HTTP requests and allows us to scrape and interact with JavaScript rendered websites. Its syntax is similar to Scrapy and it has configuration options such as setting a delay, rotating user agents, and setting default headers. It also uses the testing framework Capybara to interact with web eerioCheerio is a library that parses HTML and XML documents and allows you to use the syntax of jQuery while working with the downloaded data. If you are writing a web scraper in JavaScript, Cheerio API is a fast option which makes parsing, manipulating, and rendering efficient. It does not – interpret the result as a web browser, produce a visual rendering, apply CSS, load external resources, or execute JavaScript. If you require any of these features, you should consider projects like PhantomJS or deCrawlerNodecrawler is a popular web crawler for NodeJS, making it a very fast crawling solution. If you prefer coding in JavaScript, or you are dealing with mostly a Javascript project, Nodecrawler will be the most suitable web crawler to use. Its installation is pretty simple too. PuppeteerPuppeteer is a Node library which provides a powerful but simple API that allows you to control Google’s headless Chrome browser. A headless browser means you have a browser that can send and receive requests but has no GUI. It works in the background, performing actions as instructed by an API. You can simulate the user experience, typing where they type and clicking where they best case to use Puppeteer for web scraping is if the information you want is generated using a combination of API data and Javascript code. Puppeteer can also be used to take screenshots of web pages visible by default when you open a web aywrightPlaywright is a Node library by Microsoft that was created for browser automation. It enables cross-browser web automation that is capable, reliable, and fast. Playwright was created to improve automated UI testing by eliminating flakiness, improving the speed of execution, and offers insights into the browser operation. It is a newer tool for browser automation and very similar to Puppeteer in many aspects and bundles compatible browsers by default. Its biggest plus point is cross-browser support – it can drive Chromium, WebKit and Firefox. Playwright has continuous integrations with Docker, Azure, Travis CI, and AppVeyor. PJScrapePJscrape is a web scraping framework written in Python using Javascript and JQuery. It is built to run with PhantomJS, so it allows you to scrape pages in a fully rendered, Javascript-enabled context from the command line, with no browser required. The scraper functions are evaluated in a full browser context. This means you not only have access to the DOM, but you also have access to Javascript variables and functions, AJAX-loaded content, etc.
How to Select a Web Scraping Tool? Web scraping tools (free or paid) and self-service software/applications can be a good choice if the data requirement is small, and the source websites aren’t complicated. Web scraping tools and software cannot handle large scale web scraping, complex logic, bypassing captcha and do not scale well when the volume of websites is high. For such cases, a full-service provider is a better and economical though these web scraping tools extract data from web pages with ease, they come with their limits. In the long run, programming is the best way to scrape data from the web as it provides more flexibility and attains better you aren’t proficient with programming or your needs are complex, or you require large volumes of data to be scraped, there are great web scraping services that will suit your requirements to make the job easier for can save time and obtain clean, structured data by trying us out instead – we are a full-service provider that doesn’t require the use of any tools and all you get is clean data without any hassles.
Need some professional help with scraping data? Let us know
Turn the Internet into meaningful, structured and usable data
Note: All the features, prices etc are current at the time of writing this article. Please check the individual websites for current features and pricing.
Published On: September 3, 2021
Responses
Scarlet May 23, 2019Can you add to this list? Would like an unbiased opinion on this provider. Heard some good thing about it but not too many blogs / reviews talk about it. Thanks in advance!
Reply
ScrapeHero May 24, 2019Scarlet,
Would you care to elaborate on where you heard the good things?
Online, personal experience, professional colleagues?
Samuel Dupuis June 18, 2021Hi,
Did you consider adding the Norconex HTTP Collector to this list? It is a flexible Open-Source crawler. It is easy to run, easy for developers to extend, cross-platform, powerful and well maintain.
You can see more information about it here: Reply
How to scrape Prices from any eCommerce website – ScrapeHero
Price Scraping involves gathering price information of a product from an eCommerce website using web scraping. A price scraper can help you easily scrape prices from website for price monitoring purposes of your competitor and your products.
How to Scrape Prices
1. Create your own Price Monitoring Tool to Scrape Prices
There are plenty of web scraping tutorials on the internet where you can learn how to create your own price scraper to gather pricing from eCommerce websites. However, writing a new scraper for every different eCommerce site could get very expensive and tedious. Below we demonstrate some advanced techniques to build a basic web scraper that could scrape prices from any eCommerce page.
2. Web Scraping using Price Scraping Tools
Web scraping tools such as ScrapeHero Cloud can help you scrape prices without coding, downloading and learning how to use a tool. ScrapeHero Cloud has pre-built crawlers that can help you scrape popular eCommerce websites such as Amazon, Walmart, Target easily. ScrapeHero Cloud also has scraping APIs to help you scrape prices from Amazon and Walmart in real-time, web scraping APIs can help you get pricing details within seconds.
3. Custom Price Monitoring Solution
ScrapeHero Price Monitoring Solutions are cost-effective and can be built within weeks and in some cases days. Our price monitoring solution can easily be scaled to include multiple websites and/or products within a short span of time. We have considerable experience in handling all the challenges involved in price monitoring and have the sufficient know-how about the essentials of product monitoring.
How to Build a Price Scraper
In this tutorial, we will show you how to build a basic web scraper which will help you in scraping prices from eCommerce websites by taking a few common websites as an example.
Let’s start by taking a look at a few product pages, and identify certain design patterns on how product prices are displayed on the websites.
Observations and Patterns
Some patterns that we identified by looking at these product pages are:
Price appears as currency figures (never as words)
The price is the currency figure with the largest font size
Price comes inside first 600 pixels height
Usually the price comes above other currency figures
Of course, there could be exceptions to these observations, we’ll discuss how to deal with exceptions later in this article. We can combine these observations to create a fairly effective and generic crawler for scraping prices from eCommerce websites.
Implementation of a generic eCommerce scraper to scrape prices
Step 1: Installation
This tutorial uses the Google Chrome web browser. If you don’t have Google Chrome installed, you can follow the installation instructions.
Instead of Google Chrome, advanced developers can use a programmable version of Google Chrome called Puppeteer. This will remove the necessity of a running GUI application to run the scraper. However, that is beyond the scope of this tutorial.
Step 2: Chrome Developer Tools
The code presented in this tutorial is designed for scraping prices as simple as possible. Therefore, it will not be capable of fetching the price from every product page out there.
For now, we’ll visit an Amazon product page or a Sephora product page in Google Chrome.
Visit the product page in Google Chrome
Right-click anywhere on the page and select ‘Inspect Element’ to open up Chrome DevTools
Click on the Console tab of DevTools
Inside the Console tab, you can enter any JavaScript code. The browser will execute the code in the context of the web page that has been loaded. You can learn more about DevTools using their official documentation.
Step 3: Run the JavaScript snippet
Copy the following JavaScript snippet and paste it into the console.
let elements = [
cument. querySelectorAll(‘ body *’)]
function createRecordFromElement(element) {
const text = ()
var record = {}
const bBox = tBoundingClientRect()
if( <= 30 &&! (bBox. x == 0 && bBox. y == 0)) {
record['fontSize'] = parseInt(getComputedStyle(element)['fontSize'])}
record['y'] = bBox. y
record['x'] = bBox. x
record['text'] = text
return record}
let records = (createRecordFromElement)
function canBePrice(record) {
if( record['y'] > 600 ||
record[‘fontSize’] == undefined ||! record[‘text’](/(^(US){0, 1}(rs\. |Rs\. |RS\. |\$|₹|INR|USD|CAD|C\$){0, 1}(\s){0, 1}[\d, ]+(\. \d+){0, 1}(\s){0, 1}(AED){0, 1}$)/))
return false
else return true}
let possiblePriceRecords = (canBePrice)
let priceRecordsSortedByFontSize = (function(a, b) {
if (a[‘fontSize’] == b[‘fontSize’]) return a[‘y’] > b[‘y’]
return a[‘fontSize’] < b['fontSize']})
(priceRecordsSortedByFontSize[0]['text']);
Press ‘Enter’ and you should now be seeing the price of the product displayed on the console.
If you don’t, then you have probably visited a product page which is an exception to our observations. This is completely normal, we’ll discuss how we can expand our script to cover more product pages of these kinds. You could try one of the sample pages provided in step 2.
The animated GIF below shows how we get the price from
How it works
First, we have to fetch all the HTML DOM elements in the page.
We need to convert each of these elements to simple JavaScript objects which stores their XY position values, text content and font size, which looks something like {'text':'Tennis Ball', 'fontSize':'14px', 'x':100, 'y':200}. So we have to write a function for that, as follows.
const text = () // Fetches text content of the element
var record = {} // Initiates a simple JavaScript object
// getBoundingClientRect is a function provided by Google Chrome, it returns
// an object which contains x, y values, height and width
// getComputedStyle is a function provided by Google Chrome, it returns an
// object with all its style information. Since this function is relatively
// time-consuming, we are only collecting the font size of elements whose
// text content length is atmost 30 and whose x and y coordinates are not 0
Now, convert all the elements collected to JavaScript objects by applying our function on all elements using the JavaScript map function.
Remember the observations we made regarding how a price is displayed. We can now filter just those records which match our design observations. So we need a function that says whether a given record matches with our design observations.
if(
record['y'] > 600 ||
We have used a Regular Expression to check if a given text is a currency figure or not. You can modify this regular expression in case it doesn’t cover any web pages that you’re experimenting with.
Now we can filter just the records that are possibly price records
Finally, as we’ve observed, the Price comes as the currency figure having the highest font size. If there are multiple currency figures with equally high font size, then Price probably corresponds to the one residing at a higher position. We are going to sort out our records based on these conditions, using the JavaScript sort function.
Now we just need to display it on the console
(priceRecordsSortedByFontSize[0][‘text’])
Taking it further
Moving to a GUI-less based scalable program
You can replace Google Chrome with a headless version of it called Puppeteer. Puppeteer is arguably the fastest option for headless web rendering. It works entirely based on the same ecosystem provided in Google Chrome. Once Puppeteer is set up, you can inject our script programmatically to the headless browser, and have the price returned to a function in your program. To learn more, visit our tutorial on Puppeteer.
Improving and enhancing this script
You will quickly notice that some product pages will not work with such a script because they don’t follow the assumptions we have made about how the product price is displayed and the patterns we identified.
Unfortunately, there is no “holy grail” or a perfect solution to this problem. It is possible to generalize more web pages and identify more patterns and enhance this scraper.
A few suggestions for enhancements are:
Figuring out more features, such as font-weight, font color, etc.
Class names or IDs of the elements containing price would probably have the word price. You could figure out such other commonly occurring words.
Currency figures with strike-through are probably regular prices, those could be ignored.
There could be pages that follow some of our design observations but violates some others. The snippet provided above strictly filters out elements that violate even one of the observations. In order to deal with this, you can try creating a score based system. This would award points for following certain observations and penalize for violating certain observations. Those elements scoring above a particular threshold could be considered as price.
The next significant step that you would use to handle other pages is to employ Artificial Intelligence/Machine Learning based techniques. You can identify and classify patterns and automate the process to a larger degree this way. However, this field is an evolving field of study and we at ScrapeHero are using such techniques already with varying degrees of success.
If you need help to scrape prices from you can check out our tutorial specifically designed for
We can help with your data or automation needs
Turn the Internet into meaningful, structured and usable data
Disclaimer: Any code provided in our tutorials is for illustration and learning purposes only. We are not responsible for how it is used and assume no liability for any detrimental usage of the source code. The mere presence of this code on our site does not imply that we encourage scraping or scrape the websites referenced in the code and accompanying tutorial. The tutorials only help illustrate the technique of programming web scrapers for popular internet websites. We are not obligated to provide any support for the code, however, if you add your questions in the comments section, we may periodically address them.
12 Best Web Scraping Tools in 2021 to Extract Online Data
Web scraping tools are software developed specifically to simplify the process of data extraction from websites. Data extraction is quite a useful and commonly used process however, it also can easily turn into a complicated, messy business and require a heavy amount of time and effort.
So, what does a web scraper do?
A web scraper uses bots to extract structured data and content from a website by extracting the underlying HTML code and data stored in a database.
In data extraction, from preventing your IP from getting banned to parsing the source website correctly, generating data in a compatible format, and to data cleaning, there is a lot of sub-process that goes in. Luckily, web scrapers and data scraping tools make this process easy, fast, and reliable.
Often, the information online to be extracted is too large to be manually extracted. That is why companies who use web scraping tools may collect more data in a shorter amount of time at a lower cost.
Besides, companies benefitting from data scraping get a step ahead in the competition between the rivals in the long run.
In this post, you will find a list of the top 12 best web scraping tools compared based on their features, pricing, and ease-of-use.
12 Best Web Scraping Tools
Here’s a list of the best web scraping tools:
Luminati (BrightData)
Scrapingdog
AvesAPI
ParseHub
Diffbot
Octoparse
ScrapingBee
Grepsr
Scraper API
Scrapy
Web Scraping Tools
Pricing for 1, 000, 000 API Calls
IP Rotation
JS Rendering
Geolocating
$99/m
✔
$90/m
$800/m
✘
$499/m
$899/m
$75/m
Luminati
Pay-As-You-Go
$999/m
Free
On application
Web scraper tools search for new data manually or automatically. They fetch the updated or new data, and then, store them for you to easily access. These tools are useful for anyone trying to collect data from the internet.
For example, web scraping tools can be used to collect real estate data, hotel data from top travel portals, product, pricing, and review data for e-commerce websites, and more. So, basically, if you are asking yourself ‘where can I scrape data, ’ it is data scraping tools.
Now, let’s take a look at the list of the best web scraper tools in comparison to answer the question; what is the best web scraping tool?
is an easy-to-use web scraper tool, providing a scalable, fast, proxy web scraper API in an endpoint. Based on cost-effectiveness and features, is on top of the list. As you will see in the continuation of this post, is one of the lowest cost web scraping tools out there.
-Unlike its competitors, does not charge extra for Google and other hard-to-scrape websites.
-It offers the best price/performance ratio in the market for Google scraping (SERP). (5, 000, 000 SERP for $249)
-Additionally, has 2-3 seconds average speed in collecting anonymous data from Instagram and a 99% success rate.
-Its gateway speed is also 4 times faster than its competitors.
-Moreover, this tool is providing residential and mobile proxy access twice as cheaper.
Here are some of its other features.
Features
Rotating proxies; allow you to scrape any website. rotates every request made to the API using its proxy pool.
Unlimited bandwidth in all plans
Fully customizable
Only charges for successful requests
Geotargeting option for over 10 countries
JavaScript render which allows scraping web pages that require to render JavaScript
Super proxy parameter: allows you to scrape data from websites with protections against data center IPs.
Pricing: Price plans start at $29/m. Pro plan is $99/m for 1, 300, 000 API calls.
Scrapingdog is a web scraping tool that makes it easier to handle proxies, browsers, as well as CAPTCHAs. This tool provides HTML data of any webpage in a single API call. One of the best features of Scraping dog is that it also has a LinkedIn API available. Here are other prominent features of Scrapingdog:
Rotates IP address with each request and bypasses every CAPTCHA for scraping without getting blocked.
Rendering JavaScript
Webhooks
Headless Chrome
Who is it for? Scrapingdog is for anyone who needs web scraping, from developers to non-developers.
Pricing: Price plans start at $20/m. JS rendering feature is available for at least the standard plan which is $90/m. LinkedIn API available only for the pro plan ($200/m. )
AvesAPI is a SERP (search engine results page) API tool that allows developers and agencies to scrape structured data from Google Search.
Unlike other services in our list, AvesAPI has a sharp focus on the data you’ll be extracting, rather than a broader web scraping. Therefore, it’s best for SEO tools and agencies, as well as marketing professionals.
This web scraper offers a smart distributed system that is capable of extracting millions of keywords with ease. That means leaving behind the time-consuming workload of checking SERP results manually and avoiding CAPTCHA.
Features:
Get structured data in JSON or HTML in real-time
Acquire top-100 results from any location and language
Geo-specific search for local results
Parse product data on shopping
Downside: Since this tool was founded quite recently, it’s hard to tell how real users feel about the product. However, what the product is promising is still excellent to give it a free try and see for yourself.
Pricing: AvesAPI’s prices are quite affordable compared to other web scraping tools. Plus, you can try the service for free.
Paid plans start at $50 per month for 25K searches.
ParseHub is a free web scraper tool developed for extracting online data. This tool comes as a downloadable desktop app. It provides more features than most of the other scrapers, for example, you can scrape and download images/files, download CSV and JSON files. Here’s a list of more of its features.
IP rotation
Cloud-based for automatically storing data
Scheduled collection (to collect data monthly, weekly, etc. )
Regular expressions to clean text and HTML before downloading data
API & webhooks for integrations
REST API
JSON and Excel format for downloads
Get data from tables and maps
Infinitely scrolling pages
Get data behind a log-in
Pricing: Yes, ParseHub offers a variety of features, but most of them are not included in its free plan. The free plan covers 200 pages of data in 40 minutes and 5 public projects.
Priced plans start at $149/m. So, I can suggest that more features come at a higher cost. If your business is small, it may be best to use the free version or one of the cheaper web scrapers on our list.
Diffbot is another web scraping tool that provides extracted data from web pages. This data scraper is one of the top content extractors out there. It allows you to identify pages automatically with the Analyze API feature and extract products, articles, discussions, videos, or images.
Product API
Clean text and HTML
Structured search to see only the matching results
Visual processing that enables scraping most non-English web pages
JSON or CSV format
The article, product, discussion, video, image extraction APIs
Custom crawling controls
Fully-hosted SaaS
Pricing: 14-day free trial. Price plans start at $299/m, which is quite expensive and a drawback for the tool. However, it’s up to you to decide whether you need the extra features this tool provides and to evaluate its cost-effectiveness for your business.
Octoparse stands out as an easy-to-use, no-code web scraping tool. It provides cloud services to store extracted data and IP rotation to prevent IPs from getting blocked. You can schedule scraping at any specific time. Besides, it offers an infinite scrolling feature. Download results can be in CSV, Excel, or API formats.
Who is it for? Octoparse is best for non-developers who are looking for a friendly interface to manage data extraction processes.
Capterra Rating: 4. 6/5
Pricing: Free plan available with limited features. Price plans start at $75/m.
ScrapingBee is another popular data extraction tool. It renders your web page as if it was a real browser, enabling the management of thousands of headless instances using the latest Chrome version.
So, they claim dealing with headless browsers as other web scrapers do is time-wasting and eating up your RAM & CPU. What else does ScrapingBee offer?
JavaScript rendering
Rotating proxies
General web scraping tasks like real estate scraping, price-monitoring, extracting reviews without getting blocked.
Scraping search engine results pages
Growth hacking (lead generation, extracting contact information, or social media. )
Pricing: ScrapingBee’s price plans start at $29/m.
BrightData is an open-source web scraper for data extraction. It is a data collector providing an automated and customized flow of data.
Data unblocker
No-code, open-source proxy management
Search engine crawler
Proxy API
Browser extension
Capterra Rating: 4. 9/5
Pricing: Pricing varies based on the selected solutions: Proxy Infrastructure, Data Unblocker, Data Collector, and sub-features. Check the website for detailed info.
Start to Scrape with BrightData
Developed to produce data scraping solutions, Grepsr can help your lead generation programs, as well as competitive data collection, news aggregation, and financial data collection. Web scraping for lead generation or lead scraping enables you to extract email addresses.
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Now for Grepsr, let’s take a look at the tool’s outstanding features.
Lead generation data
Pricing & competitive data
Financial & market data
Distribution chain monitoring
Any custom data requirements
API ready
Social media data and more
Pricing: Price plans start at $199/Source. It is a bit expensive so this could be a drawback. Still, it is up to your business needs.
Scraper API is a proxy API for web scraping. This tool helps you manage proxies, browsers, and CAPTCHAs, so you can get the HTML from any web page by making an API call.
Fully customizable (request headers, request type, IP geolocation, headless browser)
Unlimited bandwidth with speeds up to 100Mb/s
40+ million IPs
12+ geolocations
Pricing: Paid plans start at $29/m however, the lowest-cost plan does not include geotargeting and JS rendering, and it is limited.
The startup plan ($99/m) includes only the US geolocating and no JS rendering. To benefit from all geolocating and JS rendering, you need to purchase the $249/m business plan.
Another one in our list of the best web scraping tools is Scrapy. Scrapy is an open-source and collaborative framework designed to extract data from websites. It is a web scraping library for Python developers who want to build scalable web crawlers.
This tool is completely free.
Web scraping tool helps to collect data at a scale. It offers operational management of all your web data while providing accuracy, completeness, and reliability.
offers a builder to form your own datasets by importing the data from a specific web page and then exporting the extracted data to CSV. Also, it allows building 1000+ APIs based on your requirements.
comes as a web tool along with free apps for Mac OS X, Linus, and Windows.
While provides useful features, this web scraping tool has some drawbacks as well, which I should mention.
Capterra rating: 3. 6/5. The reason for such a low rating is its cons. Most users complain about the lack of support and too expensive costs.
Pricing: Price on application through scheduling a consultation.
I tried to list the best web scraping tools that will ease your online data extraction workload. I hope you find this post helpful when deciding on a data scraper. Do you have any other web scraper tools that you use and suggest? I’d love to hear. You can write in the comments.
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Thank you for your time.
Frequently Asked Questions about web price scraping software
How do I scrape a website price?
How to Scrape PricesCreate your own Price Monitoring Tool to Scrape Prices. There are plenty of web scraping tutorials on the internet where you can learn how to create your own price scraper to gather pricing from eCommerce websites. … Web Scraping using Price Scraping Tools. … Custom Price Monitoring Solution.Sep 13, 2018
What is the best software for web scraping?
12 Best Web Scraping Tools in 2021 to Extract Online DataDiffbot.Octoparse.ScrapingBee.BrightData (Luminati)Grepsr.Scraper API.Scrapy.Import.io.More items…
Is Web scraping for price comparison legal?
So is it legal or illegal? Web scraping and crawling aren’t illegal by themselves. After all, you could scrape or crawl your own website, without a hitch. … Big companies use web scrapers for their own gain but also don’t want others to use bots against them.
