How to download tweets from Twitter in 2024

Learn how to download tweets from Twitter in 5 simple steps.


If you want to extract data from any corner of Twitter/X, you will need a data extraction tool, a web scraper. Web scrapers can automatically copy-paste the tweets into a document. Twitter URL Scraper is a straightforward tool designed specifically for that task.

This guide will teach you how to use this tool to download tweets from any public Twitter profile in 5 simple steps. So let's see how in just a few clicks, you can get that Twitter data into your Downloads folder.

How to download tweets from Twitter / for free

You will need to use the Twitter URL Scraper from Apify Store. You can use it to scrape 1,000 tweets for $2.5. The Apify Free plan subscription gives you $5 free credits, which means you can download up to 2,000 tweets for free.

Here's how to use a Twitter URL Scraper to extract Twitter user data with just a few clicks ⬇️

Step 1. Find Twitter URL Scraper on Apify Store

Go to Apify Store to see our collection of over 2,000 tools for data extraction. If you search for ‘twitter’ there, you'll see a whole lot of Twitter-related scrapers. Go for Twitter URL Scraper, and click Try for free.

Step 1. Go to Twitter URL Scraper on Apify Store and click Try for free
Step 1. Go to Twitter URL Scraper on Apify Store and click Try for free

If you don’t have your Apify account yet, no big deal. Signing up is really easy, all you need is your email or GitHub account + a great password. For a free trial of our tools, you don’t need to provide your credit card details.

Create a free account to scrape tweets from Twitter / X
Create a free account to scrape tweets from Twitter / X

Step 2. Paste Twitter URLs you want to scrape (profiles or separate tweets)

Head over to Twitter and find the user profile you want to scrape. Now copy-paste the URL of that profile into the first field. You can add as many extra profiles to scrape as you want by clicking the +Add button. Alternatively, you can copy-paste URLs of separate tweets instead of URLs of profiles.

Step 3. Choose the number of tweets to extract

Set up the number of tweets per profile you want to extract. If you add 3 user profiles by using the +Add button and set the maximum number to 20, then the number of posts you’ll get is 60. Let’s take it easy and get 10 tweets from a single @NASA Twitter account.

Step 3. Choose the number of latest tweets you want to get
Step 3. Choose the number of latest tweets you want to get

Step 4. Collect your Twitter data

Click the Save&Start button to start running your Twitter scraper. As the Twitter data extraction tool is running, you’ll start seeing the output as the data starts coming in. Let's wait a few seconds until the status changes to Succeeded 🏁.

Step 4. Collect your extracted tweets
Step 4. Collect your extracted tweets

Step 5. Preview and export your Twitter data

Once the scraper has finished its job, click on the Storage tab -> Export button to preview, filter, and download your tweets.

You can download Twitter data in a number of formats
You can download your data in a number of formats

How to analyze your downloaded tweets

Extracting data from Twitter can be incredibly handy for a variety of purposes. Here are five ideas for how you could use this data:

  1. Sentiment analysis on trending topics. Analyze the sentiment of tweets related to trending hashtags or topics. You can use natural language processing (NLP) techniques to classify tweets as positive, negative, or neutral. This can help understand public opinion and reactions to current events, products, or campaigns.
  2. Social network analysis. Examine the connections and interactions between different Twitter users. Identify key influencers within specific communities by analyzing metrics such as the number of followers, retweets, and mentions.
  3. Brand monitoring and competitive analysis. Track mentions of your brand or competitors over time. Analyze the frequency and sentiment of these mentions to understand brand perception and compare it against competitors. This can provide insights into market positioning and identify areas for improvement or new opportunities.
  4. Topic modeling and trend prediction. Use topic modeling algorithms (like LDA) to identify common themes and topics discussed within your dataset. Combine this with time series analysis to predict future trends and interests based on historical data. This can be particularly useful for content creators and marketers to stay ahead of emerging trends.
  5. Customer feedback and product improvement. Collect tweets related to specific products or services and analyze the feedback. Categorize the data into different aspects (e.g., product features, customer service, pricing) to identify common issues or areas of praise. This feedback can be great for improving products or services and addressing customer concerns.
Try this tool to scrape multiple social media handles at once: Social Media Finder

Scraping Twitter is legal but you must be careful not to violate copyright or data protection regulations. This also implies that you must not scrape any personal information. Only publicly accessible data, such as publicly accessible tweets, can be scraped; personal information, such as contact information, cannot. Learn more about the legal side of web scraping in our "Is web scraping legal?" blogpost.


Now that you’ve just extracted a bunch of tweets from a Twitter user profile for free in just under a minute, how about giving it another go? Just choose your specialized Twitter scraper, and then hashtags, images, videos, or maybe even the time period you want to scrape, click Start, and get your data.

Scrape Twitter/X profiles

Natasha Lekh
Natasha Lekh
Crafting content that charms both readers and Google’s algorithms: readmes, blogs, and SEO secrets.

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