Best Twitter Scraper 2023: Collect Tweets Easily

Access Public Twitter Data with the Top Twitter Scraping Tool

twitter scraper

Have you always wanted to do social research on Twitter but have no idea which tool to use to extract data? This article provides you with the best Twitter scraping tools for easy and efficient data scraping from Twitter.

Depending on the scope and speed of your research, you can need a scraper to gather information from social media sites like Twitter for your study. For academics seeking data on a certain social media site, social media scraping is a godsend.

This allows you to save time, effort, and money by having bots automate the process of extracting the data you need for your study. Using Twitter to get data is simple since there are so many scrapers available.

In previous years, proficient coding abilities were required for automated web scraping. With today's technology, automating the process of scraping data from websites is simple, even for those who don't know how to code.

Researchers who wish to scrape data from Twitter but lack the programming skills to create their own scraper can perform very well with the help of high-quality Twitter scrapers.

If you are a company or social researcher interested in obtaining data from Twitter, this article discusses the finest Twitter Scrapers currently available.

Top 9 Twitter Scrapers in 2022

1. ScrapingBee — Best Twitter Scraper for Bypassing Restriction and Blocks


  • Price: Begins at 29 USD monthly for 4000 searches
  • Data Format: HTML
  • Free option (1000 free searches)

If you're looking for a Twitter scraper that can also help you with basic web scraping, ScrapingBee's website will walk you through all the ways in which they can assist you.

They can also facilitate the extraction of data and the capture of screenshots of targeted Twitter sites. You're in good company, given that they provide constantly refreshed proxies and walk you through setting up all of their web-scraping tools without requiring you to know any code.

In addition, you can test out all of their capabilities without spending a dime.

You can trust them since they constantly update their proxy lists and you can use all of their web-scraping tools without needing to know any coding.

You can get a taste of them at no cost and decide whether they're worth buying if you give them a try.

2. Helium Scraper — Top Twitter Data Scraping Tool

Helium Scraper

  • Price: 99 USD (one-user license)
  • Free option (10 days free trial)
  • Data Format: SQLite, JSON, XML, Excel, CSV
  • Platform Supported: Desktop

As far as scraping webpages is concerned, Helium Scraper is often regarded as the best option due to its intuitive interface and demonstration that doing so need not be complicated.

Its popularity stems from its user-friendly point-and-click layout. Using the Helium Scraper's intuitive interface, you can teach it to recognize and extract the information you require.

Among the greatest Twitter data scrapers is Helium Scraper, which allows users to collect data easily from Twitter's public API. You can use it to extract data from Twitter, including replies, comments, user profiles, tweets, and more.

With its lightning-fast processing, Helium Scraper can significantly reduce your workload. This web scraper is among the best Twitter scrapers available. Tasks for scraping may be planned, and relevant parts can be identified.

3. — Easy and Accessible Twitter Data Scraper

  • Price: Free (Free Browser Extension)
  • Data Format: CSV
  • Platform Supported: Chrome Extension

A paid web scraper,, is available as a Chrome plugin for scraping Twitter. It's the most well-known web scraping add-on now accessible, and it's made especially for the current online environment. allows researchers, marketers, and others to scrape tweets, comments, user profiles, and other data accessible on Twitter.

The scraped data is easily downloadable, and the interface is intuitive. The nicest thing about the Chrome add-on is that it's a free scraping tool. It is also fully functional in a browser setting, delivering extracted information in CSV form. can easily get any publicly accessible data from Twitter. It's an open-source, no-cost browser app. is the best option if you do not wish to spend a penny.

4. ScrapeStorm — Flexible but Reliable Twitter Scraper


  • Price:99 USD monthly
  • Data Format: Google Sheets, MySQL, JSON, Excel, CSV, TXT
  • Platform Supported: Cloud, Desktop

ScrapeStorm is an adaptable and robust web scraper for mining public Twitter accounts, tweets, and other material. Scholars agree that it is among the finest web scrapers now available.

When configured correctly, ScrapeStorm is a very efficient and effective scraping tool that can operate incognito to avoid being banned. It's built for large data, so it'll keep running smoothly even as you scrape an increasing volume of information.

As it was created by one of the most competent crawler teams in the world (former Google employees), ScrapeStorm is much superior to other existing bots. It does this by using an application programming interface (API) driven data identification system for conducting such automated data identification.

5. Octoparse — Easy Web Scraper


  • Price: Begins at 75 USD monthly
  • Free Option (14 days free trial)
  • Data Format: SQLServer, MySQL, JSON, Excel, CSV
  • Platform Supported: Desktop, Cloud

There are several data scrapers available, but Octoparse stands out as the best option for mining Twitter. Although it can collect all publicly accessible data from Twitter, it is not a dedicated Twitter scraper due to the presence of pre-built templates.

Safe and effective, Octoparse is a scraping bot that operates invisibly to avoid detection and blocks with relative ease. Octoparse is one of the quickest data scrapers available, and it offers output in a number of different formats.

SQLServer, MySQL, CSV, EXCEL, and JSON are all formats that can be used to store the data that has been scraped. Octoparse's compatibility is excellent since it works with both web-based and local programs.

6. Apify — Top-rated Twitter Data Scraper

Apify Twitter Scraper

  • Price: Begins at 49 USD monthly (49 USD for 100 Actor Compute Units)
  • Data Format: JSON
  • OS Supported: Cloud-Based (Accessible through API)

It's worth noting that Apify also offers a well-regarded Twitter scraper called the Twitter Profile Scraper. Providing specific professional work, this Twitter Scraper is designed for extracting information from certain accounts.

Twitter data, including tweets, retweets, profiles, discussions, and favorites, can all be extracted using this tool. Apify's Hashtag Scraper is tailored to extracting tweets containing a user-specified hashtag, and it does a great job at it.

In comparison to other Twitter scrapers, their monthly charge of $49 for 100 Actor computer units is rather reasonable. In addition to the free trial, they provide a basic package consisting of 10 Actor computers.

Apify Twitter Profile Scraper users must subscribe to utilize the tool's actors. So, the cost is the same whether you use one actor or a whole cast.

7. ScraperAPI — Provides Proxy API for Twitter Scraping


  • Price: Begins at 49 USD monthly for 100,000 API Credits
  • Data Format: HTML, JSON
  • Free option (7 days free trial for 5000 requests)

Using a Twitter scraper like ScraperAPI, gathering data from the microblogging service is a breeze. They claim that using a proxy with their scraper API tools is easier than ever before, allowing users to easily collect and organize all the data they need from Twitter in a way that is understandable.

They boast of being able to provide prospective customers with a trial run of their services prior to making a final decision to sign on the dotted line.

To use this function, you don't even have to give up your credit card information. That your proxies are automatically rotated is one of the features we like most about this Twitter scraper.

8. Bright Data — Best Web-based Twitter Data Scraper Tool

Bright Data scrape web data

  • Price: Begins at 500 USD (for 151k page loads)
  • Data Format: Excel
  • Platform Supported: Web-Based

If you need to scrape information from Twitter, the Bright Data Twitter Scraper is a great option. Bright data is a proxy services company that offers a great data extraction solution for scraping Twitter accounts and other social media.

It's quick, safe, dependable, and simple to use. You can efficiently scrape Twitter data by searching for relevant hashtags, phrases, or even URLs.

The Twitter ScraperData Collector of Bright Data allows you to easily scrape Twitter accounts using only the profile URLs you provide. The necessary data is readily downloadable and will be made accessible automatically.

The fact that the Bright Data Twitter ScraperData Collector takes care of all the scraping work mechanically is a key selling factor.

9. Phantombuster — Best for Twitter Profile Scraping


  • Price: Begins at 59 USD monthly for Starter Plan (20 hours monthly and 5 Phantom slots)
  • Data Format: JSON, CSV
  • Free Option (14 days free trial with 10 minutes daily)
  • Platform Supported: Desktop, Cloud

Try Phantombuster if you require a simple method of scraping Twitter user profiles. Data extraction and code-free automation are two of their key benefits, which means that you can utilize them with no coding knowledge.

They're useful for a lot more than just scraping information from Twitter; you can also use them to automate your communication with others and to gather valuable contact details.

If you visit their website, you can either view a video or sign up for a free trial, both of which will provide you with enough opportunity to learn everything you need to know before making a purchase decision.

Benefits of Scraping Twitter

Benefits of Scraping Twitter

1. For Influencer Marketing Development

By scraping data, you can learn who has the most sway over your product or subject. A company's decision on who to engage can be informed by whose retweets get the most attention (likes, comments, and shares).

2. To Analyze Competitor

When you're swamped with brand-building tasks, it might be difficult to keep tabs on the competition. To stay abreast of the methods your rivals are doing in their advertising campaigns; it is a good idea to periodically scrape their data.

3. To Gather Customer Feedback or Reviews

Companies might benefit from scraping Twitter for feedback on their goods and services from customers. Feedback from buyers is crucial to a company in assessing its progress and developing future offerings.

Product or brand complaints can provide valuable insight to company owners by revealing the root causes of declining sales. Businesses can use the information to better understand their customers' wants and requirements, which in turn informs the development of new goods.

You can learn about the latest market trends by scraping Twitter. Data scraping enables organizations to better coordinate their marketing and business plans with the needs of their target markets by providing insights into market tendencies.

How to Easily and Effectively Scrape Twitter Data

You can make your own Twitter scraper if you're a developer or have decent programming abilities. You can customize a system to include the functions you need and then utilize those functions as part of a larger whole. Time and money are both saved as a result of this.

To create a Twitter scraper, you need no specialized knowledge or knowledge of any computer language.

Python, however, is one of the greatest languages to utilize if you want to make Twitter Scrapers. It includes useful libraries that make it easier and faster to create Twitter scrapers.

To top it all off, Python is not only one of the most popular and efficient programming languages for constructing web scrapers, but it is also very simple to pick up and use.

If you wish to extract and obtain information from a Twitter profile, you'll need to look at the HTML code of that profile page. Once the first page has been generated, you'll need to verify the tags the data is encased in and determine how to gather any extra material.

After that is done, you can use Beautifulsoup to parse requests sent to Twitter's website in order to obtain the desired web pages.

Make sure your proxy settings are correct, and your bot's User-Agent header is configured to mimic that of a widely used web browser before doing this.

Scraping Twitter with Beautiful Soup, Requests, and Python

A programmer can add any functionality you need to your Twitter scraper. All you need is a machine that can understand a Turing complete computer language to use a Twitter scraper.

Python has a wealth of high-quality libraries that can speed up and simplify your code writing. Python is the most popular choice for web scrapers because of how accessible it is.

Despite the fact that I have seen that Twitter is not very severe about its restriction on the use of scrapers on its website, I can assure you that you will encounter some opposition in your efforts. Take Twitter as an example; the service still logs your IP address and blocks you if you make too many requests.

Twitter, in contrast to many other websites, does not need users to use home or mobile proxies in order to access their service, preferring instead to use proxies hosted in datacenters. Although it may be challenging to exploit Ajax capabilities, you can still get information from the non-Ajaxified prior version.

After the first page has loaded, extracting data from Twitter is a breeze; all you need to do is understand how to collect additional information and search for tags that include the data you need.

In order to extract the URLs you need from Twitter, you can utilize Beautifulsoup and Requests. Your bot's User-Agent header should always mimic that of a popular web browser. Be careful while setting up proxies as well.


Scraping Twitter for information is not illegal. You can use Twitter data scraping for research and to learn about market tendencies. Web crawling and scraping are not unlawful in and of themselves.

After all, scraping or crawling your own website would be a breeze. It's a great tool for startups since it's easy to use and doesn't need any agreements to collect data.

Q. Is it free to Scrape Twitter Data?

In other words, you don't have to overcomplicate things to scrape social networking sites like Twitter. Actually, Twitter encourages you to scrape their data by providing a free and very extensive API, the Official Twitter API, which lets you collect anywhere from 500k to 10 million Tweets each month.

Q. To what end does scraping Twitter work?

Scrapers for Twitter support start and end dates in their queries, letting users compile information from any period of time.

However, since these scrapers depend on Twitter's front end, any changes to Twitter's front end would render these scrapers useless.

Q. What is the best and easy way for all tweets to be extracted?

Click the More button in the top right, then choose Your account from the drop-down menu to access your Account settings. Then choose the option to Save a copy of your information.

In the section labeled “Download an archive of your data,” provide your password and then hit “Confirm.”


And that is it for the top Twitter scrapers in 2022. Scraping Twitter for data is not difficult if you know what to do. This is why I have decided to share some of the best Twitter scrapers that work for me. As a programmer, you can use any number of preexisting resources to create your own scraping tool.

However, there are many data scrapers available on the market to collect data for your study if you don't want to go through the hassle of constructing one or don't have the expertise in programming.

There are a number of scrapers available, and many of them can be used to do what you want to do on Twitter or another social media platform.

Any of the aforementioned Twitter scrapers will perform a fine job if you're new to web scraping and don't know the appropriate scraper to select from.


Written by Alexis Kestler

A female web designer and programmer - Now is a 36-year IT professional with over 15 years of experience living in NorCal. I enjoy keeping my feet wet in the world of technology through reading, working, and researching topics that pique my interest.