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Twitter Scraper

Scrape Twitter followers, and extract tweets, retweets, replies, favorites, and conversation threads, with no Twitter API limits. This tweet scraper makes Twitter data scraping super easy. You don’t need to know Python or JavaScript. Simply tell Twitter Scraper what data you want to extract, and the tweet scraper will do the rest.

Try Twitter Scraper for free

How does Twitter Scraper work?

Twitter Scraper is an unofficial Twitter API without limits. You don’t need a Twitter account, a registered app, or a Twitter API key. The web scraper gives you access to the more than 500 million tweets posted every day.

Want different data?

Want more specialized Twitter scrapers?

If you want a Twitter scraper for more targeted data scraping tasks, such as scraping Twitter statistics, Twitter handles, or Twitter accounts, we have a bunch of specialized web scrapers to make extracting data from Twitter even faster and easier. Take your pick:

Twitter URL Scraper

Just go straight for the URL! If you know exactly what you want to scrape, use this streamlined scraper to extract data based on any Twitter URL.

Twitter URL Scraper avatar

Twitter URL Scraper

quacker/twitter-url-scraper

Copy any Twitter URL and extract Twitter usernames, profile photos, follower count, tweets, hashtags, favorite count, and more. Export scraped datasets, run the scraper via API, schedule and monitor runs or integrate with other tools.

User avatar

Quacker

7.3k

4.2

Twitter Profile Search Scraper

Collect similar Twitter profiles that match your search query, along with their screen names, profile URLs, number of followers, latest tweets, and more. Scrape both the official accounts and the fakes in one go!

Twitter Profile Search Scraper avatar

Twitter Profile Search Scraper

quacker/twitter-profile-search

Paste a search term and extract Twitter usernames, profile photos, follower count, favorite count, latest tweet, and more. Export scraped datasets, run the scraper via API, schedule and monitor runs, or integrate with other tools.

User avatar

Quacker

516

3.5

Why scrape Twitter?

Sentiment analysis

Track discussions about your brand, products, country, or city. Monitor your competitors and see how popular they are and how you can get a competitive edge. Track sentiment to make sure your investments are protected.

Tracking trends

Track Twitter trends and keep an eye on new attitudes and fashions as they emerge. Analyze hashtags to track consumer habits and develop new products or target underdeveloped niches.

Academic research

Use Twitter data for word analysis or training AI models. Analyze tweets to research and identify fake news by understanding the pattern of how misinformation spreads.

Lead generation

As many as 94% of people plan to buy something from businesses they follow on Twitter. Collecting Twitter data will give you a ton of insights that will help you find new leads and customers.

Frequently asked questions

Scraping Twitter is permitted by law, but it's still important to watch out that the data you accumulate while scraping is not protected by copyright or personal data regulations. You can scrape Twitter data that has been made publicly available for information and research, but you are not allowed to publish another's intellectual property without permission or to extract private information.

A Twitter web scraper is a specialized tool designed to quickly and accurately extract data from the Twitter website. It automates anything you can do manually, making Twitter data scraping fast and efficient. With a Twitter scraper, you can extract Twitter data such as comments, hashtags, handles, user IDs, business accounts, and statistics. A Twitter scraper allows you to download the collected data in a structured and machine-readable format for analysis and research.

You can scrape old Twitter data by using Twitter History Scraper or Twitter Hashtag History Scraper. These Twitter scrapers are designed to extract publicly available data published over a specific period of time. Both of these Twitter web scrapers are Apify products that are free to use.

You can scrape Twitter without an API by using an unofficial API such as Twitter Scraper or any of the more specialized Twitter scrapers in Apify Store. While the Twitter API is great for developers, Twitter scrapers allow you to do more with Twitter than the API allows, and they are the easiest option for non-developers. Scraping Twitter with specialized web scrapers will enable you to scrape Twitter without rate limits and an API account, registered app, or API key.

You don't need coding skills to scrape Twitter if you're using ready-made no-code Twitter scrapers from Apify Store. To scrape Twitter without coding, just follow these simple steps:

  1. Go to Apify Store, select your Twitter scraper, and click 'Try for free'.
  2. Insert the URL or Twitter handle you want to scrape in the input field.
  3. Begin data collection by clicking 'Start'.
  4. Download your Twitter data in your preferred format.

You can extract all tweets from a geographical location within a specified time range by using a web scraping library such as Tweepy (for Python), which gives you access to the Twitter API, or Apify (for JavaScript), which is an unofficial API that has fewer limitations. You can also use the Apify API client for Python to access the Apify API from your Python applications. Apify Store includes very specialized Twitter scrapers that allow you to scrape all tweets and other Twitter data published over a specific period of time.

You can scrape tweets with keywords using Easy Twitter Search Scraper. This web scraping tool allows you to scrape Twitter for any keyword and extract public information, including usernames, profile photos, followers count, tweets, and hashtags. To scrape tweets with keywords using Easy Twitter Search Scraper, simply follow these easy steps:

  1. Go to Easy Twitter Search Scraper in Apify Store and click on 'Try for free'.
  2. Insert the keywords you want to scrape in the input field.
  3. Begin data collection by clicking 'Start'.
  4. Download your data in your preferred format.

You can scrape followers on Twitter using Twitter People Scraper. This web scraping tool allows you to scrape followers on Twitter by inserting a keyword that you would type into the Twitter search bar into the scraper's input field and extract the results you would view in the People tab. To scrape followers on Twitter using Twitter People Scraper, simply follow these easy steps:

  1. Go to Twitter People Scraper in Apify Store and click on 'Try for free'.
  2. Insert the keywords you want to scrape in the input field.
  3. Begin data collection by clicking 'Start'.
  4. Download your data in your preferred format.

You can download scraped Twitter data using Twitter Scraper:

  1. Go to Twitter Scraper in Apify Store and click on 'Try for free'.
  2. Insert the keywords you want to scrape in the input field.
  3. Begin data collection by clicking 'Start'.
  4. Download your dataset from Twitter in your preferred format.

The Python web scraping library, Tweepy, gives you access to the Twitter API to enable you to analyze the sentiment of Tweets from Twitter data. You can also analyze Twitter data using the Apify API (for JavaScript) from your Python applications by using the Apify API client for Python.

You can analyze Twitter data by scraping and downloading data from Twitter using Twitter Scraper and then use a Twitter analytics tool, such as FollowersAnalysis, to analyze the Twitter data you've collected.