# X Article Scraper | $0.15/1K Articles | Pay-Per-Result (`xquik/x-article-scraper`) Actor

Scrape long-form X (Twitter) Articles for $0.15 per 1,000 delivered articles on every Apify plan. Export Markdown, text, covers, authors, dates, and metrics. Deduplication runs before billing. Apify bills platform usage separately. No X login. Built by Xquik. Not affiliated with X Corp.

- **URL**: https://apify.com/xquik/x-article-scraper.md
- **Developed by:** [Xquik](https://apify.com/xquik) (community)
- **Categories:** AI, Social media, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00015 / articles

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Article Scraper | $0.15/1K | Pay-Per-Result

Extract long-form X Articles from post URLs or numeric Tweet IDs. No X API key
or login required.

### Input

| Field                 | Purpose                                    | Default |
| --------------------- | ------------------------------------------ | ------- |
| `startUrls`           | Public Article post URLs                   | None    |
| `tweetIds`            | Numeric Article Tweet IDs                  | None    |
| `maxItems`            | Global delivered-Article cap               | `10000` |
| `dedupeAcrossTargets` | Remove repeated Article IDs before billing | `true`  |
| `maxConcurrency`      | Parallel independent Article reads         | `100`   |

### Output

The Output tab opens `Articles`. `Results` links to rows. `Run Report` links to
counts, completion, duration, and anomalies.

```json
{
  "markdown": "# Article title\n\nPlain Article text",
  "contents": [{ "type": "paragraph", "text": "Plain Article text" }]
}
```

Rows add author, source, cover, time, and metrics. Export JSON or tables.

### Completion & billing

Deduplication runs before billing. Pay per delivered row, with no start fee.
Every Apify plan costs **$0.15 per 1,000 rows**. Empty runs return 1 diagnostic.
Apify bills your platform usage separately.

### API & MCP

Choose from 50 public tasks or 128 REST operations. Agents use
[Apify MCP](https://docs.apify.com/platform/integrations/mcp). Single reads use
[Xquik REST](https://docs.xquik.com/api-reference/x/get-article).

### Limits and format

Only public Articles exposed by X can be returned. Markdown preserves blocks,
bold, and italic ranges. `contents` retains source formatting. Link metadata is
never guessed. Apify shows Markdown as text. Examples use sample values. Results
reflect live data. Use `latest`. URLs and IDs can mix.

Xquik is an independent third-party service. Not affiliated with X Corp.
"Twitter" and "X" are trademarks of X Corp.

# Actor input Schema

## `startUrls` (type: `array`):

Add public x.com or twitter.com status URLs containing X Articles.

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

Add numeric Tweet IDs for long-form X Articles.

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

Global delivered-Article cap across all inputs.

## `dedupeAcrossTargets` (type: `boolean`):

Remove repeated Article IDs before billing.

## `maxConcurrency` (type: `integer`):

Parallel independent Article reads. Leave the default for maximum safe throughput.

## Actor input object example

```json
{
  "maxItems": 10000,
  "dedupeAcrossTargets": true,
  "maxConcurrency": 100
}
```

# Actor output Schema

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

Unique delivered rows. Filters and deduplication run before billing.

## `runReport` (type: `string`):

Outcome, completion reason, counts, pages, duration, and privacy-safe anomalies.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("xquik/x-article-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("xquik/x-article-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{}' |
apify call xquik/x-article-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,xquik/x-article-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/VDomxt0zSakAhxtdU/builds/jT98KWCfNgzFie0mv/openapi.json