Twitter Profile Scraper (by Profile URL)

What does Twitter Profile Scraper (by Profile URL) do?

Twitter Profile Scraper (by Profile URL) extracts a complete Twitter/X profile and its recent tweets in a single run. Provide one or more profile URLs and it will return the full profile metadata along with an array of recent posts.

• Scrape complete profile data from any public Twitter/X account by URL
• Retrieve profile metadata: display name, biography, followers, following, posts count, location, join date, and more
• Extract recent tweets as an embedded array with full engagement metrics
• Get profile images including avatar and banner
• Capture external links and verification status
• Support multiple profile URLs in a single run with per-URL post limits
• Connect Twitter Profile Scraper to any AI chatbot using Apify MCP server
• Export via SDKs (Python & Node.js), use API Endpoints, webhooks, or integrate with workflows

What data can you get from Twitter

Twitter Profile Scraper (by Profile URL) can gather any kind of data from Twitter/X, such as:

How to scrape Twitter profiles with Twitter Profile Scraper (by Profile URL)?

Twitter Profile Scraper (by Profile URL) is user-friendly, offering a smooth start even for those who have never extracted data from Twitter before. Here's how to scrape Twitter profiles in 5 steps:

1. Create a free Apify account using your email.
2. Open Twitter Profile Scraper (by Profile URL).
3. Add one or more profile URLs, and set the maximum number of posts per profile.
4. Click the "Start" button and wait for the data to be extracted.
5. Download your data in JSON, XML, CSV, Excel, or HTML.

Input

To start scraping Twitter profiles, fill in the input form. Twitter Profile Scraper (by Profile URL) recognizes the following input parameters:

• url (requestList): Twitter/X profile URLs. Each item contains a url field and an optional max_number_of_posts field.
• timeout (integer, default 20): Request timeout in seconds.

Input JSON

{
  "url": [
    {
      "url": "https://x.com/elonmusk",
      "max_number_of_posts": 10
    }
  ],
  "timeout": 20
}

Output

The results will be wrapped into a dataset which you can find in the Storage tab. Each profile produces one output row with a posts array containing the recent tweets. Here is what it looks like in JSON:

{
  "x_id": "44196397",
  "url": "https://x.com/elonmusk",
  "id": "Elon Musk",
  "profile_name": "elonmusk",
  "biography": "Mars & Cars, Chips & Dips",
  "is_verified": true,
  "profile_image_link": "https://pbs.twimg.com/profile_images/sample.jpg",
  "external_link": "https://example.com",
  "date_joined": "2009-06-02T00:00:00.000Z",
  "following": 500,
  "followers": 150000000,
  "subscriptions": 0,
  "location": "Austin, TX",
  "posts_count": 35000,
  "banner_image": "https://pbs.twimg.com/profile_banners/sample.jpg",
  "posts": [
    {
      "id": "1900000000000000000",
      "user_posted": "elonmusk",
      "name": "Elon Musk",
      "description": "Sample tweet text here",
      "date_posted": "2025-06-01T12:00:00.000Z",
      "photos": ["https://pbs.twimg.com/media/sample.jpg"],
      "url": "https://x.com/elonmusk/status/1900000000000000000",
      "tagged_users": null,
      "replies": 1234,
      "reposts": 567,
      "likes": 8901,
      "views": 234567,
      "external_url": null,
      "hashtags": ["tech", "AI"],
      "followers": 150000000,
      "biography": "Mars & Cars, Chips & Dips",
      "posts_count": 35000,
      "profile_image_link": "https://pbs.twimg.com/profile_images/sample.jpg",
      "following": 500,
      "is_verified": true,
      "quotes": 123,
      "bookmarks": 456,
      "videos": [],
      "verification_type": "blue",
      "user_id": "44196397",
      "error": "",
      "error_code": ""
    }
  ],
  "input": { "url": "https://x.com/elonmusk", "max_number_of_posts": 10 },
  "error": "",
  "error_code": ""
}

How can I use the data scraped from Twitter profiles?

• 📊 Build influencer analysis dashboards with profile stats and engagement metrics
• 📋 Create a pipeline of high-quality marketing leads from Twitter
• 🔬 Conduct competitive benchmarking by comparing profiles side by side
• 📈 Track follower growth and posting frequency over time
• 🧠 Feed profile and tweet data into AI models for audience analysis
• 🪧 Identify brand ambassadors and partnership opportunities
• 📚 Research account authenticity and verification patterns

Error items

When the scraper cannot retrieve data for a given input — for example a profile is private or does not exist — it pushes an error item to the dataset instead of silently skipping it. Normal output items are never affected; you can tell them apart by the presence of a non-empty error field.

Error item structure

{
  "x_id": "",
  "url": "https://x.com/nonexistentuser",
  "id": "",
  "profile_name": "",
  "biography": "",
  "is_verified": "",
  "profile_image_link": "",
  "external_link": "",
  "date_joined": "",
  "following": "",
  "followers": "",
  "subscriptions": "",
  "location": "",
  "posts_count": "",
  "posts": "",
  "banner_image": "",
  "input": { "url": "https://x.com/nonexistentuser" },
  "error": "User not found",
  "error_code": "404"
}

Error codes reference

FAQ

How much does it cost to use Twitter Profile Scraper (by Profile URL)?

Twitter Profile Scraper (by Profile URL) uses the pay-per-event (PPE) pricing model. You're charged a fixed price for specific events. Your costs can be easily calculated using the information in the Actor's pricing tab.

Can I scrape multiple profiles at once?

Yes. The url input accepts an array of items. Each item can have its own url and max_number_of_posts, so you can control the depth per profile.

Can I use Twitter Profile Scraper (by Profile URL) with the Apify API?

The Apify API gives you programmatic access to the Apify platform. The API is organized around RESTful HTTP endpoints that enable you to manage, schedule, and run Apify Actors. The API also lets you access any datasets, monitor Actor performance, fetch results, create and update versions, and more.

Your feedback

We're always working on improving the performance of our Actors. If you have any technical feedback or found a bug, please create an issue in the Issues tab.