# X (Twitter) Article to Markdown Scraper - Long Form Posts (`seemuapps/x-article-to-markdown-scraper`) Actor

Convert any X (Twitter) long-form Article or Notes post into clean Markdown, ready for AI, RAG, and LLM ingestion pipelines.

- **URL**: https://apify.com/seemuapps/x-article-to-markdown-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Social media, Developer tools, Lead generation
- **Stats:** 16 total users, 15 monthly users, 96.4% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 article 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

## X (Twitter) Article to Markdown Scraper - Long Form Posts

Convert any X (Twitter) long-form Article or Notes post into clean Markdown, ready for AI, RAG, and LLM ingestion pipelines.

### What you get

- Full article body converted to clean, structured Markdown - headings, lists, bold/italic/code, images, and dividers all preserved
- Title and byline prepended to the Markdown so every record is a self-contained document
- Cover image URL and preview text for quick previews or thumbnails
- Author details - username, display name, verification status, follower count
- Engagement stats - replies, likes, quotes, views
- One dataset row per article - batch convert a whole list of IDs or URLs in a single run

### Free tier vs. paid

Free runs are capped to help cover data costs (this endpoint is pricier than a standard tweet lookup):

- **10 articles per run**
- **3 runs per day** (UTC)
- **30-minute wait** between runs

Upgrade to any paid plan on the actor's pricing page to lift all three limits - your `Max Articles` setting is honored in full and runs are unrestricted.

### Use cases

- Feed long-form X Articles into a RAG pipeline or LLM knowledge base
- Content archiving - keep a durable Markdown copy of Articles before they're edited or deleted
- Newsletter curation - pull Article bodies straight into a Markdown-based editor
- Competitive content research - track what long-form content competitors and creators are publishing
- AI agent tool input - give an agent clean Markdown instead of raw HTML or JSON

### How to use

1. Enter one or more **Article / Tweet IDs or URLs** (numeric IDs or `https://x.com/user/status/...` links) - only posts published via X's Article/Notes feature will convert; regular tweets are skipped
2. Set **Max Articles** (default 10; 0 for unlimited, capped to the number of IDs supplied)
3. Run the actor - one Markdown document per row in the **Dataset** tab
4. Copy the `markdown` field straight into your pipeline, CMS, or knowledge base

### Output format

One article per dataset row:

```json
{
  "tweetId": "1905545699552375179",
  "title": "Why Long-Form Publishing Is Coming Back",
  "markdown": "# Why Long-Form Publishing Is Coming Back\n\n*by @exampleauthor*\n\nShort platform posts are great for reach, but they flatten nuance...\n\n## The case for depth\n\n- Readers retain more from structured, longer pieces\n- Search and AI systems reward well-organized content\n\n> The best ideas need room to breathe.",
  "previewText": "Short platform posts are great for reach, but they flatten nuance...",
  "coverImageUrl": "https://pbs.twimg.com/media/example.jpg",
  "authorUsername": "exampleauthor",
  "authorName": "Example Author",
  "authorIsBlueVerified": true,
  "authorFollowersCount": 184200,
  "createdAt": "Wed Mar 27 14:02:00 +0000 2026",
  "replyCount": 312,
  "likeCount": 9840,
  "quoteCount": 118,
  "viewCount": 512000,
  "articleUrl": "https://x.com/exampleauthor/status/1905545699552375179"
}
```

### Input options

| Field | Type | Description |
|-------|------|-------------|
| Article / Tweet IDs or URLs | array of strings | Numeric IDs or full tweet URLs to convert (required, at least one) |
| Max Articles | integer | Cap on how many articles get fetched and converted this run - default 10, 0 for unlimited |

### Related X (Twitter) actors

Part of a complete X (Twitter) toolkit - explore the rest of the suite:

- [X (Twitter) Profile Scraper](https://apify.com/seemuapps/x-profile-scraper) - Public profile data - bio, counts, links
- [X (Twitter) User Tweets Scraper](https://apify.com/seemuapps/x-user-tweets-by-username) - Full timeline of any account by username
- [X (Twitter) Tweet Scraper](https://apify.com/seemuapps/x-tweet-scraper) - Search and export tweets by query, hashtag, user
- [X (Twitter) Tweet Replies Scraper](https://apify.com/seemuapps/x-tweet-replies-scraper) - Every reply under a post for sentiment analysis
- [X (Twitter) Quote Tweets Scraper](https://apify.com/seemuapps/x-quote-tweets-scraper) - Every quote tweet of a post, with engagement
- [X (Twitter) Followers & Following Scraper](https://apify.com/seemuapps/x-followers-following-scraper) - Full followers and following lists, no login
- [X (Twitter) List Members Scraper](https://apify.com/seemuapps/x-list-members-scraper) - Members or followers of any public list
- [X (Twitter) Active Hours Analyzer](https://apify.com/seemuapps/x-active-hours-analyzer) - Posting heatmap, peak hours, and time zone
- [X (Twitter) Retweeters Scraper](https://apify.com/seemuapps/x-tweet-retweeters-scraper) - Find every account that retweeted a post
- [X (Twitter) User Mentions Scraper](https://apify.com/seemuapps/x-user-mentions-scraper) - Brand and keyword monitoring across mentions
- [X (Twitter) User Search Scraper](https://apify.com/seemuapps/x-user-search-scraper) - Find accounts by bio or keyword for lead gen
- [X (Twitter) Trends Scraper](https://apify.com/seemuapps/x-trends-scraper) - Trending topics and hashtags by location
- [X (Twitter) MCP Server](https://apify.com/seemuapps/x-mcp) - All X tools for AI agents via MCP

# Actor input Schema

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

List of X (Twitter) Article/Notes tweet IDs (numeric) or full tweet URLs (https://x.com/user/status/<id>) to convert to Markdown. Regular (non-Article) tweets are skipped.

## `maxItems` (type: `integer`):

Maximum number of articles to fetch and convert this run. Set 0 for unlimited (up to the length of the input list).

## Actor input object example

```json
{
  "tweetIds": [
    "1905545699552375179"
  ],
  "maxItems": 10
}
```

# Actor output Schema

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

One row per article: tweetId, title, markdown (the full converted Markdown body, including title and byline), previewText, coverImageUrl, author info, engagement counts, and articleUrl.

# 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 = {
    "tweetIds": [
        "1905545699552375179"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/x-article-to-markdown-scraper").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 = { "tweetIds": ["1905545699552375179"] }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/x-article-to-markdown-scraper").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 '{
  "tweetIds": [
    "1905545699552375179"
  ]
}' |
apify call seemuapps/x-article-to-markdown-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=seemuapps/x-article-to-markdown-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/v87H2OT9beLgTKq8Y/builds/0DROWFn5oHm6A4c4t/openapi.json