# Twitter/X List Tweets Scraper |$0.1/1K| Pay-Per Result (`fastcrawler/twitter-x-list-tweets-scraper-0-1-1k-pay-per-result`) Actor

Scrape tweets from any Twitter/X List easily. Just $0.1 per 1K results — pay only for what you get. Ideal for tracking niche communities, curated lists, or influencer groups. Fast, scalable, and cost-efficient. Pay-per-result, no upfront commitment.

- **URL**: https://apify.com/fastcrawler/twitter-x-list-tweets-scraper-0-1-1k-pay-per-result.md
- **Developed by:** [fastcrawler](https://apify.com/fastcrawler) (community)
- **Categories:** AI, Social media
- **Stats:** 93 total users, 3 monthly users, 99.7% runs succeeded, 3 bookmarks
- **User rating**: 2.22 out of 5 stars

## Pricing

from $0.10 / 1,000 listtweets

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

### Twitter/X List Tweets Scraper |$0.35/1K| Pay-Per Result

Looking for the fastest and most cost-effective Twitter (X) scraping solution?

Our Tweet(X) Fast & Cheapest Scraper delivers real-time Twitter data at just $0.35 per 1K results,

making it the most affordable choice on the market. Whether you need tweets, user profiles, or engagement metrics,

our pay-per-result model ensures you only pay for what you get—no hidden fees, no wasted resources.

Optimized for speed and accuracy, our scraper handles high-volume extractions effortlessly,

giving you instant access to the data you need. Stay ahead of trends, monitor keywords, and track competitors with precision.

Start scraping now and maximize your insights! 🚀

### Contact and Feature Requests

- If you need customized features or have specific requirements
- support for second-level tweet monitoring [Twitter real-time monitoring](https://twitterxapi.com)
- Real-time username change monitoring
- real-time follow activity monitoring, feel free to contact me
- If you need any sort of support, please send an email to fastcrawler9@gmail.com | [tg](https://t.me/+MUMR3PKOoVVjNzE9) | [discord](https://discord.gg/s4jyupzaWu)

### Input Parameters

| Field | Type     | Description          |
|----|----------|---------------|
| list\_id   | string   | id of the twitter list  |
| Maximum number of items on output   | int   | Maximum number of items that you want as output.   |

### Output Example

```

  {
      "type": "tweet",
      "id": "1896710161546506732",
      "url": "https://x.com/themainsquid1/status/1896710161546506732",
      "twitterUrl": "https://twitter.com/themainsquid1/status/1896710161546506732",
      "text": "@SOLAXYTOKEN We shall see",
      "source": "Twitter for iPhone",
      "retweetCount": 0,
      "replyCount": 1,
      "likeCount": 0,
      "quoteCount": 2,
      "viewCount": 35,
      "createdAt": "Mon Mar 03 23:51:56 +0000 2025",
      "lang": "en",
      "bookmarkCount": 0,
      "isReply": true,
      "inReplyToId": "1895950135865327920",
      "conversationId": "1895950135865327920",
      "inReplyToUserId": "1863672222734323712",
      "inReplyToUsername": "SOLAXYTOKEN",
      "author": {
          "type": "user",
          "userName": "themainsquid1",
          "url": "https://x.com/themainsquid1",
          "twitterUrl": "https://twitter.com/themainsquid1",
          "id": "1885048650016989184",
          "name": "lTyler",
          "isVerified": false,
          "isBlueVerified": false,
          "profilePicture": "https://pbs.twimg.com/profile_images/1892261696506368000/SY_mBevU_normal.jpg",
          "coverPicture": "https://pbs.twimg.com/profile_banners/1885048650016989184/1739985331",
          "description": "",
          "location": "",
          "followers": 79,
          "following": 54,
          "status": "",
          "canDm": false,
          "canMediaTag": true,
          "createdAt": "Thu Jan 30 19:33:32 +0000 2025",
          "entities": {
              "description": {
                  "urls": []
              },
              "url": {}
          },
          "fastFollowersCount": 0,
          "favouritesCount": 355,
          "hasCustomTimelines": true,
          "isTranslator": false,
          "mediaCount": 4,
          "statusesCount": 228,
          "withheldInCountries": [],
          "affiliatesHighlightedLabel": {},
          "possiblySensitive": false,
          "pinnedTweetIds": [
              "1892021531368165565"
          ],
          "profile_bio": {
              "description": "🇺🇸 🌍 ✌️",
              "entities": {
                  "description": {}
              }
          },
          "isAutomated": false,
          "automatedBy": null
      },
      "extendedEntities": {},
      "card": null,
      "place": {},
      "entities": {
          "user_mentions": [
              {
                  "id_str": "1863672222734323712",
                  "indices": [
                      0,
                      12
                  ],
                  "name": "SOLAXY",
                  "screen_name": "SOLAXYTOKEN"
              }
          ]
      },
      "quoted_tweet": null,
      "retweeted_tweet": null
  }

```

# Actor input Schema

## `list_id` (type: `string`):

id of the twitter list

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

Maximum number of items that you want as output.

## Actor input object example

```json
{
  "list_id": "1154026663539200001",
  "maxItems": 10
}
```

# 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 = {
    "list_id": "1154026663539200001"
};

// Run the Actor and wait for it to finish
const run = await client.actor("fastcrawler/twitter-x-list-tweets-scraper-0-1-1k-pay-per-result").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 = { "list_id": "1154026663539200001" }

# Run the Actor and wait for it to finish
run = client.actor("fastcrawler/twitter-x-list-tweets-scraper-0-1-1k-pay-per-result").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 '{
  "list_id": "1154026663539200001"
}' |
apify call fastcrawler/twitter-x-list-tweets-scraper-0-1-1k-pay-per-result --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fastcrawler/twitter-x-list-tweets-scraper-0-1-1k-pay-per-result"
        }
    }
}

```

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/4swqCyCItBr4I2XXm/builds/2pTLyhAgYgH59F7hh/openapi.json