Data Miner Chrome
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Data Miner: Scrape data from any website with 1 Click
Newly released version 5!
Data Miner is a Google Chrome Extension and Edge Browser Extension that helps you crawl and scrape data from web pages
and into a CSV file or Excel spreadsheet.
Data Miner is a Google Chrome Extension and Edge Browser Extension that helps you crawl and scrape data from web pages and
into a CSV file or Excel spreadsheet.
An Easy to Use tool to Automate Data Extraction
Intuitive User Interface and workflow
Data Miner has an intuitive UI to help you execute advance data extraction and web crawling.
With just a few clicks you can run any of the over 60, 000 data extraction rules in the tool or create your own
customized extraction rules to get only the data you need from a webpage.
Single page or
Data Miner can scrape single page or crawl a site and extract data from multiple pages such as search results, product
and prices, contacts information, emails, phone numbers and more. Then Data Miner converts the data scraped into a clean
CSV or Microsoft Excel file format for your to download.
Data Miner comes with a rich set of features that help you extract any text on a page that you see in your browser. It
can automatically click on button and links and follow sub pages and open up pop ups and scrape data from them.
New features in Data Miner 5. 0
Quick and Simple Scraping
Scrape with one click.
free pre-made queries made for
Crawl URLs, perform pagination, and scrape a single page all in one place.
No coding Required
The new Easy Finder tool helps you find CSS selectors and create your own custom recipes
Secure Web crawling and Scraping
Safe and Secure to use
Data Miner behaves as if you were clicking on the page yourself in your own browser.
Scrape Without Worry
Data Miner is not a Bot.
You will not get blocked.
Keep Your Data Private
Data Miner never sells your data.
Data Miner never shares your data.
Data Miner is the most powerful scraper around
One Click Scraping
Use one of 50, 000 publicly available extraction queries to extract data with one click.
Make custom extraction queries to scrape any data from any site.
Run bulk scrape jobs base off a list of URLs.
Fast Table Scrapes
Extract basic table data
with right clicking on the page.
Automatically click to the next page and scrape using Auto Pagination.
Form Filling Automation
Data Miner can automatically fill forms for you using a pre-filled CSV.
Watch How Data Miner works
See how easily you can convert a page to CSV
An Outstanding Support Team Helping You at Every Step
We are here to help you succeed
We live and work in Seattle, Washington, USA. You may even know a few of us like Ben, David, Ken and Zach. We are
working around-the-clock to help answer support emails, share information on social media and create recipes.
You can contact us by
email, phone and more!
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Scraping websites using the Scraper extension for Chrome – School of Data
If you are using Google Chrome there is a browser extension for scraping web pages. It’s called “Scraper” and it is easy to use. It will help you scrape a website’s content and upload the results to google docs.
Walkthrough: Scraping a website with the Scraper extension
Open Google Chrome and click on Chrome Web Store
Search for “Scraper” in extensions
The first search result is the “Scraper” extension
Click the add to chrome button.
Now let’s go back to the listing of UK MPs
Now mark the entry for one MP
Right click and select “scrape similar…”
A new window will appear – the scraper console
In the scraper console you will see the scraped content
Click on “Save to Google Docs…” to save the scraped content as a Google Spreadsheet.
Walkthrough: extended scraping with the Scraper extension
Note: Before beginning this recipe – you may find it useful to understand a bit about HTML. Read our HTML primer.
Easy wasn’t it? Now let’s do something a little more complicated. Let’s say we’re interested in the roles a specific actress played. The source for all kinds of data on this is the IMDB (You can also search on sites like DBpedia or Freebase for this kinds of information; however, we’ll stick to IMDB to show the principle)
Let’s say we’re interested in creating a timeline with all the movies the Italian actress Asia Argento ever starred; where do we start?
The IMDB has a quite comprehensive archive of actors. Asia Argento’s site is:
If you open the page you’ll see all the roles she ever played, together with a title and the year – let’s scrape this information
Try to scrape it like we did above
You’ll see the list comes out garbled – this is because the list here is structured quite differently.
Go to the scraper console. Notice the small box on the upper left, saying XPath?
XPath is a query language for HTML and XML.
XPath can help you find the elements in the page you’re interested in – all you need to do is find the right element and then write the xpath for it.
Now let’s assemble our table.
You’ll see that our current Xpath – the one including the whole information is “//div/div/div/div”
Xpath is very simple it tells the computer to look at the HTML document and select
However, we’d like to have the data separated out.
To do this use the columns part of the scraper console…
Let’s find our title first – look at the title using Inspect Element
See how the title is within a tag? Let’s add the tag to our xpath.
The expression seems to work well: let’s make this our first column
In the “Columns” section, change the name of the first column to “title”
Now let’s add the XPATH for the title to it
The xpaths in the columns section are relative, that means “. /b” will select the element
add “. /b” to the xpath for the title column and click “scrape”
See how you only get titles?
Now let’s continue for year? Years are within one
Create a new column by clicking on the small plus next to your “title” column
Now create the “year” column with xpath “. /span”
Click on scrape and see how the year is added
See how easily we got information out of a less structured webpage?
Last updated on Sep 02, 2013.
Data Mining Definition – Investopedia
Updated September 17, 2021
What Is Data Mining?
Data mining is a process used by companies to turn raw data into useful information. By using software to look for patterns in large batches of data, businesses can learn more about their customers to develop more effective marketing strategies, increase sales and decrease costs.
Data mining depends on effective data collection, warehousing, and computer processing.
Data mining is the process of analyzing a large batch of information to discern trends and mining can be used by corporations for everything from learning about what customers are interested in or want to buy to fraud detection and spam mining programs break down patterns and connections in data based on what information users request or media companies use data mining techniques to commodify their users in order to generate use of data mining has come under criticism lately s users are often unaware of the data mining happening with their personal information, especially when it is used to influence preferences.
Watch Now: How Does Data Mining Work?
How Data Mining Works
Data mining involves exploring and analyzing large blocks of information to glean meaningful patterns and trends. It can be used in a variety of ways, such as database marketing, credit risk management, fraud detection, spam Email filtering, or even to discern the sentiment or opinion of users.
The data mining process breaks down into five steps. First, organizations collect data and load it into their data warehouses. Next, they store and manage the data, either on in-house servers or the cloud. Business analysts, management teams, and information technology professionals access the data and determine how they want to organize it. Then, application software sorts the data based on the user’s results, and finally, the end-user presents the data in an easy-to-share format, such as a graph or table.
Data Warehousing and Mining Software
Data mining programs analyze relationships and patterns in data based on what users request. For example, a company can use data mining software to create classes of information. To illustrate, imagine a restaurant wants to use data mining to determine when it should offer certain specials. It looks at the information it has collected and creates classes based on when customers visit and what they order.
In other cases, data miners find clusters of information based on logical relationships or look at associations and sequential patterns to draw conclusions about trends in consumer behavior.
Warehousing is an important aspect of data mining. Warehousing is when companies centralize their data into one database or program. With a data warehouse, an organization may spin off segments of the data for specific users to analyze and use.
However, in other cases, analysts may start with the data they want and create a data warehouse based on those specs. Regardless of how businesses and other entities organize their data, they use it to support management’s decision-making processes.
Data Mining and Social Media
One of the most lucrative applications of data mining has been that of social media. Platforms like Facebook, TikTok, Instagram, and Twitter gather reams of data about individual users to make inferences about their preferences in order to send targeted marketing ads. This data is also used to try to influence user behavior and change their preferences, whether it be for a consumer product or who they will vote for in an election.
Data mining on social media has become a big point of contention, with several investigative reports and exposes showing just how nefarious mining users’ data can be.
The Cambridge Analytica scandal is a prime example of how social media companies can use data mining at the expense of their users.
Example of Data Mining
Grocery stores are well-known users of data mining techniques. Many supermarkets offer free loyalty cards to customers that give them access to reduced prices not available to non-members. The cards make it easy for stores to track who is buying what, when they are buying it, and at what price. After analyzing the data, stores can then use this data to offer customers coupons targeted to their buying habits and decide when to put items on sale or when to sell them at full price.
Data mining can be a cause for concern when a company uses only selected information, which is not representative of the overall sample group, to prove a certain hypothesis.
Data mining processes are used to build machine learning models that power applications including search engine technology and website recommendation programs.
How is data mining done?
Data mining relies on big data and advanced computing processes including machine learning and other forms of artificial intelligence (AI). The goal is to find patterns that can lead to inferences or predictions from otherwise unstructured or large data sets.
What is another term for data mining?
Data mining also goes by the less-used term knowledge discover in data, or KDD.
Who uses data mining?
Data mining applications range from the financial sector to look for patterns in the markets to governments trying to identify potential security threats. Corporations, and especially online and social media companies, use data mining on their users to create profitable advertising and marketing campaigns that target specific sets of users.
Frequently Asked Questions about data miner chrome
How do I use Chrome Data Miner?
Walkthrough: Scraping a website with the Scraper extensionOpen Google Chrome and click on Chrome Web Store.Search for “Scraper” in extensions.The first search result is the “Scraper” extension.Click the add to chrome button.Now let’s go back to the listing of UK MPs.More items…•Sep 2, 2013
How do I scrape data in Chrome?
How Data Mining Works. Data mining involves exploring and analyzing large blocks of information to glean meaningful patterns and trends. … Then, application software sorts the data based on the user’s results, and finally, the end-user presents the data in an easy-to-share format, such as a graph or table.Sep 17, 2021
How does data mining work?
Data Miner is a browser extension software that assists you in extracting data that you see in your browser and save it into an Excel spreadsheet file. Data Miner is a personal browser extension that helps you transform HTML data in your browser window into clean table format .