> For the complete documentation index, see [llms.txt](https://university.mindstudio.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://university.mindstudio.ai/building-ai-agents/blocks-reference/scrape-x-post.md).

# Scrape X Post

Get X Post Data

The Scrape X Post block retrieves content from a public post on X (formerly Twitter). This allows your workflow to reference real-time data such as post text, author, timestamps, and engagement metrics for use in summaries, responses, or fact-checking.

***

## Configurations

### Post URL

Enter the full URL of the X post you'd like to scrape.

**Example Format:** `https://x.com/username/status/1234567890123456789`

{% hint style="info" %}
Only public posts are supported. Private or deleted posts will return errors.
{% endhint %}

***

### Output Variable

Specify the name of the variable where the post data will be stored.

**Example:** `post_details`

***

## Sample Output

```json
{
  "id": "1945136856297038194",
  "text": "A Chief Economist and a COO walk into a podcast...\n\n@ronniechatterji and @bradlightcap talk about the future of jobs and the economy in the age of AI on Episode 3 of the OpenAI podcast, now live. https://t.co/XhsDR1tLWn",
  "authorName": "OpenAI",
  "authorUsername": "OpenAI",
  "authorProfileImageUrl": "https://pbs.twimg.com/profile_images/1885410181409820672/ztsaR0JW_400x400.jpg",
  "isVerified": true,
  "createdAt": "Tue Jul 15 15:02:20 +0000 2025",
  "stats": {
    "replies": 135,
    "retweets": 221,
    "likes": 1376,
    "bookmarks": 647,
    "views": 892658
  },
  "url": "https://twitter.com/OpenAI/status/1945136856297038194"
}
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://university.mindstudio.ai/building-ai-agents/blocks-reference/scrape-x-post.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.