Twitter Post Scraper (by Post URL)

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

Twitter Post Scraper (by Post URL) extracts a single Twitter/X post with all its details by post URL. Provide one or more tweet URLs and it will return the full post data including engagement metrics, media, hashtags, and author information.

• Scrape individual tweets by their post URL
• Extract engagement data: likes, views, replies, reposts, quotes, and bookmarks
• Retrieve media attachments including photos and videos with download URLs
• Capture hashtags, mentions, and external links from tweets
• Get quoted tweet data and parent post details for reply threads
• Fetch author metadata such as follower count, biography, and verification status
• Support multiple post URLs in a single run
• Connect Twitter Post 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 Post Scraper (by Post URL) can gather any kind of data from Twitter/X, such as:

How to scrape a Twitter post with Twitter Post Scraper (by Post URL)?

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

1. Create a free Apify account using your email.
2. Open Twitter Post Scraper (by Post URL).
3. Add one or more tweet URLs.
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 posts, fill in the input form. Twitter Post Scraper (by Post URL) recognizes the following input parameters:

• url (requestList, required): Twitter/X post URLs.
• timeout (integer, default 20): Request timeout in seconds.

Input JSON

{
  "url": [
    "https://x.com/elonmusk/status/1234567890"
  ],
  "timeout": 20
}

Output

The results will be wrapped into a dataset which you can find in the Storage tab. Each tweet produces one output row. Here is what it looks like in JSON:

{
  "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": [
    {
      "profile_id": "123456",
      "profile_name": "Some User",
      "url": "https://x.com/someuser"
    }
  ],
  "replies": 1234,
  "reposts": 567,
  "likes": 8901,
  "views": 234567,
  "external_url": "https://example.com",
  "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,
  "parent_post_details": {
    "post_id": null,
    "profile_id": null,
    "profile_name": null
  },
  "external_image_urls": ["https://pbs.twimg.com/media/sample.jpg"],
  "videos": [
    {
      "video_url": "https://video.twimg.com/sample.mp4",
      "duration": 15000,
      "content_type": "video/mp4"
    }
  ],
  "quoted_post": {
    "post_id": "1800000000000000000",
    "profile_id": "789012",
    "profile_name": "Quoted User",
    "data_posted": "2025-05-01T10:00:00+0000",
    "url": "https://x.com/quoteduser/status/1800000000000000000",
    "description": "Quoted tweet text",
    "photos": [],
    "videos": []
  },
  "external_video_urls": ["https://video.twimg.com/sample.mp4"],
  "verification_type": "blue",
  "user_id": "44196397",
  "error": "",
  "error_code": ""
}

How can I use the data scraped from Twitter?

• 📊 Analyze engagement trends and identify your best-performing content
• 📋 Build competitor analysis dashboards by tracking rival accounts' tweets
• 🔬 Monitor brand mentions and public sentiment in real time
• 📈 Track influencer activity and measure campaign reach
• 🧠 Feed data into AI models for content analysis and trend prediction
• 🪧 Discover viral content patterns to optimize your own posting strategy
• 📚 Conduct academic research on social media discourse and behavior

Error items

When the scraper cannot retrieve data for a given input — for example a tweet has been deleted or is from a private account — 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

{
  "id": "",
  "user_posted": "",
  "name": "",
  "description": "",
  "date_posted": "",
  "url": "",
  "likes": "",
  "views": "",
  "error": "Tweet not found",
  "error_code": "404"
}

Error codes reference

FAQ

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

Twitter Post Scraper (by Post 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 tweets at once?

Yes. The url input accepts an array of tweet URLs. Each URL will be processed independently and produce its own output row.

Can I use Twitter Post Scraper (by Post 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.