# 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:** [Seemu Scraping](https://apify.com/seemuapps) (community)
- **Categories:** Social media, Lead generation, Developer tools
- **Stats:** 1 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# 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(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 '{
  "listId": "1591607867192311809"
}' |
apify call seemuapps/x-list-timeline-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/x-list-timeline-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/bx1YF6R19cmxn3dov/builds/JRkvQo3NR7mPYXn4f/openapi.json