# X (Twitter) List Timeline Scraper - Tweets from a List (`seemuapps/x-list-timeline-scraper`) Actor

Extract every tweet from any public X (Twitter) List timeline - full text, author, and engagement metrics. No login required.

- **URL**: https://apify.com/seemuapps/x-list-timeline-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Social media, Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 list tweet 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) List Timeline Scraper

Extract every tweet from any public X (Twitter) List timeline — full text, author, and engagement metrics — in one run. No login, no cookies.

### What you get

For every tweet in the List:

- **Tweet fields** — tweet ID, URL, full text, creation date, and language
- **Engagement metrics** — retweets, replies, likes, quotes, views, and bookmarks
- **Author info** — username, user ID, display name, blue-verified status, follower count, and profile picture URL
- Paginated output: each run returns a cursor so you can fetch the whole timeline across multiple runs
- Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console

### Use cases

- **Curated feed monitoring** — track tweets from a hand-picked List of accounts
- **Competitor & industry tracking** — watch a List of competitors or thought leaders
- **Content aggregation** — pull a topical List into your own dashboard or newsletter
- **Sentiment & trend analysis** — analyze what a defined group is posting over time

### How to use

1. Enter the **List ID or URL** — either the numeric ID or the full `https://x.com/i/lists/<id>` link (it's in your address bar when viewing a List)
2. Set **Max Tweets** (default 100; set 0 for unlimited)
3. Run the actor — results appear in the **Dataset** tab

#### Fetching more (pagination)

After a run finishes, open the **Key-value store** tab → copy the `NEXT_PAGE_ID` value → paste it into **Page ID** on your next run. If `NEXT_PAGE_ID` is `null`, you've fetched the whole timeline.

### Output format

Each dataset record:

```json
{
  "listId": "1591607867192311809",
  "tweetId": "1866332309399781537",
  "url": "https://x.com/user/status/1866332309399781537",
  "text": "Full tweet text…",
  "createdAt": "Wed Dec 11 18:22:04 +0000 2024",
  "lang": "en",
  "retweetCount": 12,
  "replyCount": 4,
  "likeCount": 231,
  "quoteCount": 1,
  "viewCount": 15430,
  "bookmarkCount": 8,
  "isReply": false,
  "conversationId": "1866332309399781537",
  "authorUsername": "example",
  "authorUserId": "44196397",
  "authorName": "Example",
  "authorIsBlueVerified": true,
  "authorFollowersCount": 21039,
  "authorProfilePicture": "https://pbs.twimg.com/profile_images/…"
}
```

### Notes

- Free-tier runs are limited; upgrade to a paid plan to remove the cap and scrape unlimited List tweets.

# Actor input Schema

## `listId` (type: `string`):

Numeric X List ID or full List URL (https://x.com/i/lists/<id>). Find it in the address bar when viewing a List on x.com.

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

Maximum tweets to return. Set 0 for unlimited (auto-paginates across the whole List timeline).

## `pageId` (type: `string`):

Optional. Paste NEXT\_PAGE\_ID from a previous run's Key-value store to fetch the next page.

## Actor input object example

```json
{
  "listId": "1591607867192311809",
  "maxItems": 100
}
```

# Actor output Schema

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

One row per tweet: listId, tweetId, url, text, createdAt, lang, engagement counts, and author info.

## `nextPageId` (type: `string`):

NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when the List timeline is exhausted.

# 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 = {
    "listId": "1591607867192311809"
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/x-list-timeline-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 = { "listId": "1591607867192311809" }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/x-list-timeline-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 '{
  "listId": "1591607867192311809"
}' |
apify call seemuapps/x-list-timeline-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bx1YF6R19cmxn3dov/builds/NkkAZPbOXHOwtcV7w/openapi.json