# Tweet HTML Meta Scraper (`moving_beacon-owner1/my-actor-52`) Actor

Extract Open Graph and Twitter Card metadata from public tweet and profile pages. Extract rich tweet preview data instantly — no API required. Lightweight tool to extract social preview metadata from any tweet.

- **URL**: https://apify.com/moving\_beacon-owner1/my-actor-52.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:** Social media, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Tweet HTML Meta Scraper

Extract Open Graph and Twitter Card metadata from tweet and profile pages. Uses a crawler User-Agent to access the server-rendered HTML that Twitter serves for link previews. **No login, no API key, no cookies.**

### What it does

- Extracts `og:title`, `og:description`, `og:image` from tweets
- Extracts `twitter:title`, `twitter:description`, `twitter:image` (Twitter Cards)
- Works on both tweet URLs and profile URLs
- Supports multiple crawler User-Agents (Twitterbot, Googlebot, etc.)

### Input

| Field | Type | Description |
|-------|------|-------------|
| `urls` | string\[] | Tweet or profile URLs to scrape |
| `tweetIds` | string\[] | Tweet IDs (converted automatically) |
| `userAgent` | string | Crawler UA (default: `Twitterbot/1.0`) |
| `extractTwitterCards` | boolean | Include `twitter:*` tags (default: true) |
| `delayMs` | integer | Delay between requests in ms (default: 1000) |

### Output

```json
{
    "url": "https://x.com/jack/status/20",
    "page_title": "jack on X",
    "og_title": "jack on X",
    "og_description": "just setting up my twttr",
    "og_image": "https://pbs.twimg.com/...",
    "tc_card": "summary",
    "tc_site": "@x",
    "scrape_method": "html_meta"
}
```

### Use Cases

- Quick preview/existence check for tweets
- Extracting social preview images
- Verifying tweet content without full API access
- Monitoring which tweets are still live vs deleted

# Actor input Schema

## `urls` (type: `array`):

Tweet URLs or profile URLs to extract OG meta tags from.

## `tweetIds` (type: `array`):

Tweet IDs (converted to URLs automatically).

## `userAgent` (type: `string`):

User-Agent string. Twitterbot gets OG tags; Googlebot may also work.

## `extractTwitterCards` (type: `boolean`):

Also extract twitter:\* meta tags in addition to og:\* tags.

## `delayMs` (type: `integer`):

Milliseconds to wait between requests.

## Actor input object example

```json
{
  "urls": [
    "https://x.com/jack/status/20",
    "https://x.com/elonmusk"
  ],
  "tweetIds": [],
  "userAgent": "Twitterbot/1.0",
  "extractTwitterCards": true,
  "delayMs": 1000
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://x.com/jack/status/20",
        "https://x.com/elonmusk"
    ],
    "tweetIds": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/my-actor-52").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": [
        "https://x.com/jack/status/20",
        "https://x.com/elonmusk",
    ],
    "tweetIds": [],
}

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/my-actor-52").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://x.com/jack/status/20",
    "https://x.com/elonmusk"
  ],
  "tweetIds": []
}' |
apify call moving_beacon-owner1/my-actor-52 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=moving_beacon-owner1/my-actor-52",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/s9EXOlBGIRiWonaZ5/builds/R3cnfa9je3t95Buph/openapi.json