• April 29, 2024

Scrape Twitter Followers

How to Export Twitter Followers to an Excel/CSV List | Crowdbabble

How to Export Twitter Followers to an Excel/CSV List | Crowdbabble

Exporting Twitter followers shouldn’t involve carpal tunnel from endless scrolling and copying. Need a comprehensive list of all your followers on Twitter? What about their locations, latest tweets, and influence? Whether you have 100 followers or 10 million, it is possible to download a list of your Twitter followers.
To get a Twitter follower list in Excel or CSV format, follow one of the three methods below.
Download Twitter Followers: Under 100 Followers
If you have a smaller list of followers — under 100 — then exporting them manually is possible.
To export followers without using a third party tool, you can scroll through your follower list on Twitter until you’ve loaded all of them. Then, you can copy and paste their handles using a Chrome extension like Scraper. Using Scraper, you can grab and export similar HTML elements on a page(like a Twitter handle) to an Excel list. Simply install Scraper, right click on a followers’ handle from the fully loaded list, and select Copy Similar. You will wind up with a list of handles with no other metrics included (blood, sweat, and tears from all the scrolling don’t count).
Pros of this Twitter follower list method: It’s free!
Cons: Hand cramps. Sometimes hard-to-use Chrome extension. Also, you don’t get to pick the download format.
Download Twitter Followers: 100+ Followers
Follow these three steps to download a full list of your Twitter followers (or your competitors Twitter followers), with 20 metrics per follower, without developing the claw. You can export a comprehensive list with all 20 metrics for any Twitter account.
Twitter Followers List for Your Account
Visit Crowdbabble’s Download Followers tool ()
Log in to your Twitter account (after your login, you will see the option to download the followers for any Twitter account)
Choose your Twitter follower list download format (Excel or CSV)
Complete your order
Check your email: your list will arrive in your inbox as soon as all the data has compiled.
Pros of this Twitter follow list method: It’s comprehensive and fast. Being able to rank or pinpoint your followers by influence, tweet frequency, location, and device gives your brands a huge edge over the competition. Here’s a sample list generated using this method.
Cons: You do not get to rock Chandler’s signature claw hand. Or Ross’s.
Get started: Twitter followers download page.
Download Twitter Followers: No Account Admin
Don’t have admin access and want to get a list of Twitter followers for your competitors? You can get lists of followers for any Twitter account. You don’t need the login credentials.
Your brand’s, @realdonaldtrump, a competitor’s. Imagine what you could do with deep demographic data for each of your competitor’s 10 million followers? You could run an analysis on the Excel/CSV export of the Twitter followers to get their favourite hashtags, topics they tweet about, favourite tweet times. It’s almost unfair.
Pros: You get followers or following (users followed by an account) for any public Twitter account!
Cons: Again, no claw.
Here’s the full list of metrics for each follower in Crowdbabble’s follower exports:
Username
User ID
Full Name
Profile Picture
Influence (Verified Account Status)
Followers (how many followers they have)
Following (how many people they are following)
Follower: Following Ratio
Verified account status aside, follower:following ratio and total number of followers are good indicators of a Twitter user’s real influence
Friends
Number of Lists they are on
Number of Retweets of Latest Post
Account Created Date
Total Tweets Posted
Favourites Received
Language
Profile Location
Timezone
Latest Known Location
Date/Time of Latest Tweet
Last Tweet Content
Last Tweet ID
Hashtags Used in Last Tweet
Symbols Used in Last Tweet
Users Mentioned in Last Tweet
Link to Last Tweet
Place of Last Tweet
Location of Last Tweet
Replies Received on Last Tweet
Retweets Received on Last Tweet
Favourites Received on Last Tweet
Endless possibilities.
Are you with an advertising or public relations agency? Show these 20 metrics to your clients. They will love you forever.
Exporting Twitter Follower Lists to Excel/CSV
Knowing your audience is key to any social media strategy. With 20 metrics per follower, Crowdbabble’s follower lists are the most comprehensive and detailed available.
Whether you decide to create a list manually or use our tool, your follower list will help you get to know your audience and refine your strategy.
Get started: Twitter followers download page.
How to Scrape Twitter Data of Any User - FollowersAnalysis

How to Scrape Twitter Data of Any User – FollowersAnalysis

In the past decade, Twitter has evolved into a marketing giant. With over 186 million daily active users, it has proven itself as a front runner in social media marketing. The numbers may seem way low compared to Facebook and Instagram, but what truly differentiates Twitter is the quality of chatter on the platform. It is one of the most sought-after platforms by users when it comes to expressing their opinions. Users criticize, debate, inform and express their point of view. All of this happens within a matter of minutes. Thousands if not millions of people can tune in to a conversation and express their thoughts.
Users on Twitter post an average of 6000 tweets every second, which makes it over 500 million tweets posted each day. All of this chatter and noise is a treasure chest full of valuable information for marketers, brands, researchers, and analysts. It can help them perform research, get valuable audience insights, identify trends, find popular topics of discussion. Marketers and brands often scrape Twitter data of specific accounts (influencers, competitors) to analyze engagement and plan effective strategies.
In this post, we are going to discuss how to scrape data from any public account.
How to scrape Twitter data of any user?
Let’s discuss the various ways you can scrape Twitter data of any user (public account).
Scrape Twitter data with Twitter API
The Twitter API is one of the widely used means to scrape Twitter data. It can help you pull tweets related to any specific keyword or username. You can get access to the past 3200 tweets of any public Twitter account. Similarly, you can scrape up 5000 tweets of any targeted keyword. Although, the Twitter API requires technical expertise to operate and scrape data.
Scrape Twitter data with FollowersAnalysis
Any individual that does not have a technical background will find it difficult to scrape Twitter data with the API. Such users need an effective tool that can help them scrape data with ease.
FollowersAnalysis is an amazing Twitter analytics tool that can help you extract tweets related to any @username or targeted keywords. Scrape the past 3200 tweets of your brand’s Twitter profile, competitors, influencer marketing candidates, etc. FollowersAnalysis doesn’t just give you access to Twitter data you also get access to analytical insights and predictive analytics. The comprehensive PDF reports provide actionable insights that can help you make data-driven decisions.
Key features of FollowersAnalysis
Scrape Twitter data
Perform tweet analysis
Analyze Twitter followers and extract data
Identify influencers
Identify the most popular tweets and most engaging followers
FollowersAnalysis can also help you analyze your Twitter followers. Similar to tweet analysis, you get various analytical insights about your followers. You can extract entire lists of followers and follows in an Excel/CSV file. Identify influencers, most engaging followers, identify the target audience, find inactive followers, and more.
Why Scrape Twitter Data?
Now that you know how to scrape data from Twitter, let’s discuss the benefits of doing so.
Analyze impressions and reach
FollowersAnalysis can help you perform a tweet analysis on any public account. It can help you analyze the overall reach and impression of your tweets. The more reach your tweets get the more, the more the chances of increasing engagement. It can also help you measure brand awareness and the impact of your Twitter marketing campaigns. If the reach and impressions are low, improvise your strategy or try a new marketing approach to generate brand awareness.
Scrape Twitter data to measure engagement
Creating engaging content consistently is essential to keep followers interested in your Twitter profile. Analyzing scraped Twitter data can help you evaluate the engagement metrics of your profile. Identify the most popular tweets, you can use them to identify resonating content to keep your followers engaged. You can also analyze your competitor’s Twitter profile to dissect their social media strategy. Use the insights to create similar or improved strategies that can increase engagement rates for your brand.
Analyze and compare your competitors
You can Scrape Twitter data to analyze your competitors. You can extract valuable insights by dissecting their social media moves. Identify effective strategies that can help you generate brand awareness and increase engagement. You can also avoid making the same mistakes as your competitors. Use the analytical PDF reports to compare key performance indicators and compare growth.
Scrape Twitter data to Identify target audience
One of the most important things to do before planning a Twitter marketing campaign is identifying your target audience. Scrape data from Twitter and analyze the audience demographics, it can help you identify the target audience that is actually interested in what you offer.
Build an engaging and loyal follower base
Analyzing scraped data can help you with the engagement statistics for your tweets. It can help you understand what topics your audience really likes to engage with. Apart from topics of discussion, it can help you evaluate the quality of your Twitter follower base. Identify and block users that haven’t engaged with your brand in a really long while. Understand the likes and dislikes of your audiences along with the demographics. Identify top languages, hashtags, most popular contributors, etc., and plan an effective Twitter strategy.
Closing Thoughts
Scraping Twitter data and analyzing it can help get access to valuable insights that can enhance your marketing strategy. FollowersAnalysis is an amazing analytics tool that can help you scrape the past 3200 tweets of any public Twitter account. It can also analyze your Twitter followers and provide actionable audience insights that can help you maximize success.
TWINT - Twitter Intelligence Tool - GitHub

TWINT – Twitter Intelligence Tool – GitHub

No authentication. No API. No limits.
Twint is an advanced Twitter scraping tool written in Python that allows for scraping Tweets from Twitter profiles without using Twitter’s API.
Twint utilizes Twitter’s search operators to let you scrape Tweets from specific users, scrape Tweets relating to certain topics, hashtags & trends, or sort out sensitive information from Tweets like e-mail and phone numbers. I find this very useful, and you can get really creative with it too.
Twint also makes special queries to Twitter allowing you to also scrape a Twitter user’s followers, Tweets a user has liked, and who they follow without any authentication, API, Selenium, or browser emulation.
tl;dr Benefits
Some of the benefits of using Twint vs Twitter API:
Can fetch almost all Tweets (Twitter API limits to last 3200 Tweets only);
Fast initial setup;
Can be used anonymously and without Twitter sign up;
No rate limitations.
Limits imposed by Twitter
Twitter limits scrolls while browsing the user timeline. This means that with. Profile or with. Favorites you will be able to get ~3200 tweets.
Requirements
Python 3. 6;
aio;
aiodns;
beautifulsoup4;
cchardet;
dataclasses
elasticsearch;
pysocks;
pandas (>=0. 23. 0);
aio_socks;
schedule;
geopy;
fake-useragent;
py-googletransx.
Installing
Git:
git clone –depth=1 cd twint
pip3 install. -r
Pip:
or
pip3 install –user –upgrade git+Pipenv:
pipenv install git+March 2, 2021 Update
Added: Dockerfile
Noticed a lot of people are having issues installing (including me). Please use the Dockerfile temporarily while I look into them.
CLI Basic Examples and Combos
A few simple examples to help you understand the basics:
twint -u username – Scrape all the Tweets of a user (doesn’t include retweets but includes replies).
twint -u username -s pineapple – Scrape all Tweets from the user’s timeline containing pineapple.
twint -s pineapple – Collect every Tweet containing pineapple from everyone’s Tweets.
twint -u username –year 2014 – Collect Tweets that were tweeted before 2014.
twint -u username –since “2015-12-20 20:30:15” – Collect Tweets that were tweeted since 2015-12-20 20:30:15.
twint -u username –since 2015-12-20 – Collect Tweets that were tweeted since 2015-12-20 00:00:00.
twint -u username -o – Scrape Tweets and save to
twint -u username -o –csv – Scrape Tweets and save as a csv file.
twint -u username –email –phone – Show Tweets that might have phone numbers or email addresses.
twint -s “Donald Trump” –verified – Display Tweets by verified users that Tweeted about Donald Trump.
twint -g=”48. 880048, 2. 385939, 1km” -o –csv – Scrape Tweets from a radius of 1km around a place in Paris and export them to a csv file.
twint -u username -es localhost:9200 – Output Tweets to Elasticsearch
twint -u username -o –json – Scrape Tweets and save as a json file.
twint -u username –database – Save Tweets to a SQLite database.
twint -u username –followers – Scrape a Twitter user’s followers.
twint -u username –following – Scrape who a Twitter user follows.
twint -u username –favorites – Collect all the Tweets a user has favorited (gathers ~3200 tweet).
twint -u username –following –user-full – Collect full user information a person follows
twint -u username –timeline – Use an effective method to gather Tweets from a user’s profile (Gathers ~3200 Tweets, including retweets & replies).
twint -u username –retweets – Use a quick method to gather the last 900 Tweets (that includes retweets) from a user’s profile.
twint -u username –resume – Resume a search starting from the last saved scroll-id.
More detail about the commands and options are located in the wiki
Module Example
Twint can now be used as a module and supports custom formatting. More details are located in the wiki
import twint
# Configure
c = ()
ername = “realDonaldTrump”
= “great”
# Run
(c)
Output
955511208597184512 2018-01-22 18:43:19 GMT pineapples are the best fruit
ername = “noneprivacy”
[“tweet”] = [“id”]
[“user”] = [“bio”]
= 10
ore_csv = True
= “none”
Storing Options
Write to file;
CSV;
JSON;
SQLite;
Elasticsearch.
Elasticsearch Setup
Details on setting up Elasticsearch with Twint is located in the wiki.
Graph Visualization
Graph details are also located in the wiki.
We are developing a Twint Desktop App.
FAQ
I tried scraping tweets from a user, I know that they exist but I’m not getting them
Twitter can shadow-ban accounts, which means that their tweets will not be available via search. To solve this, pass –profile-full if you are using Twint via CLI or, if are using Twint as module, add ofile_full = True. Please note that this process will be quite slow.
More Examples
Followers/Following
To get only follower usernames/following usernames
twint -u username –followers
twint -u username –following
To get user info of followers/following users
twint -u username –followers –user-full
twint -u username –following –user-full
userlist
To get only user info of user
twint -u username –user-full
To get user info of users from a userlist
twint –userlist inputlist –user-full
tweet translation (experimental)
To get 100 english tweets and translate them to italian
twint -u noneprivacy –csv –output –lang en –translate –translate-dest it –limit 100
= 100
= “”
= “en”
anslate = True
anslateDest = “it”
Notes:
Google translate has some quotas
Featured Blog Posts:
How to use Twint as an OSINT tool
Basic tutorial made by Null Byte
Analyzing Tweets with NLP in minutes with Spark, Optimus and Twint
Loading tweets into Kafka and Neo4j
Contact
If you have any question, want to join in discussions, or need extra help, you are welcome to join our Twint focused channel at OSINT team

Frequently Asked Questions about scrape twitter followers

Can you scrape Twitter followers?

Extract the followers of a Twitter account This Twitter automation will do the hard work for you of visiting your favorite influencers’ profiles, scrape every follower and neatly arrange them in a spreadsheet. Once the scraping is done, simply download these twitter followers to a spreadsheet.

How do I scrape my Twitter followers?

Twitter Followers List for Your AccountLog in to your Twitter account (after your login, you will see the option to download the followers for any Twitter account)Choose your Twitter follower list download format (Excel or CSV)Complete your order.More items…•Apr 18, 2017

How do I export my Twitter follower list?

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