# Twitter/X List Members Scraper · No Cookies (`data-slayer/twitter-list-members`) Actor

Extract member profiles from any public Twitter/X list without login. Get usernames, bios, follower/following counts, verification status, locations, websites, and business account info. Build lead lists from curated Twitter lists. No cookies, no API key. JSON/CSV/Excel.

- **URL**: https://apify.com/data-slayer/twitter-list-members.md
- **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community)
- **Categories:** Social media, Lead generation, Other
- **Features:** Limited permissions
- **Stats:** 42 total users, 4 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 results

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/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

## Twitter List Members Scraper (No Login Required)

Extract complete member profiles from any public Twitter list without authentication or cookies. This scraper enables sales intelligence teams to build targeted lead databases by harvesting rich profile data from curated Twitter lists in minutes.

### 📺 Video Tutorial: How it Works

https://www.youtube.com/watch?v=8h8Qo2KFs4Y

***

### Inputs

| Field | Type | Description |
|-------|------|-------------|
| listId | String | The unique identifier of the Twitter list to scrape (e.g., "1177128103228989440"). Find this in the list URL. |

### Outputs

**Available Formats**: JSON, CSV, Excel

**Extracted Fields**:

- `user_id` - Unique Twitter user identifier
- `screen_name` - Twitter handle (username)
- `name` - Display name
- `description` - User bio/profile description
- `profile_image` - Profile picture URL
- `statuses_count` - Total number of tweets
- `followers_count` - Number of followers
- `friends_count` - Number of accounts following
- `media_count` - Total media items posted
- `created_at` - Account creation date
- `location` - User-specified location
- `blue_verified` - Twitter Blue verification status
- `verified` - Legacy verification status
- `website` - Profile website URL
- `affiliates` - Affiliated accounts
- `business_account` - Business account information

### How to Use

**Step 1**: Navigate to the target Twitter list and copy the List ID from the URL (the numeric string after `/lists/`).

**Step 2**: Paste the List ID into the `listId` input field.

**Step 3**: Click "Start" to begin extraction, then download your results in your preferred format (JSON, CSV, or Excel).

### Sample Output

```json
[
  {
    "user_id": "987654321012345678",
    "screen_name": "SarahTechCEO",
    "name": "Sarah Mitchell",
    "description": "CEO @ CloudScale | Building the future of enterprise SaaS | Speaker | Forbes 30 Under 30",
    "profile_image": "https://pbs.twimg.com/profile_images/...",
    "statuses_count": 8420,
    "followers_count": 15600,
    "friends_count": 890,
    "media_count": 340,
    "created_at": "Tue Mar 15 14:22:08 +0000 2018",
    "location": "San Francisco, CA",
    "blue_verified": true,
    "verified": false,
    "website": "https://cloudscale.io",
    "affiliates": [],
    "business_account": {
      "category": "Technology"
    }
  },
  {
    "user_id": "123456789098765432",
    "screen_name": "MarketingPro_Alex",
    "name": "Alex Rodriguez",
    "description": "VP Marketing | B2B Growth Strategist | Helping startups scale | DM for consulting",
    "profile_image": "https://pbs.twimg.com/profile_images/...",
    "statuses_count": 12350,
    "followers_count": 8900,
    "friends_count": 1200,
    "media_count": 520,
    "created_at": "Mon Jan 08 09:15:33 +0000 2017",
    "location": "Austin, TX",
    "blue_verified": false,
    "verified": false,
    "website": "https://alexrodriguez.co",
    "affiliates": [],
    "business_account": null
  }
]
```

***

### How to Use

**Step 1**: Navigate to the target Twitter list and copy the List ID from the URL (the numeric string after `/lists/`).

**Step 2**: Paste the List ID into the `listId` input field.

**Step 3**: Click "Start" to begin extraction, then download your results in your preferred format (JSON, CSV, or Excel).

### Key Features

🔒 **Cookieless / No Login Required** - Access public Twitter list data without authentication, eliminating account suspension risks and credential management overhead.

📈 **Scalable Architecture** - Process lists containing thousands of members with enterprise-grade infrastructure that handles rate limits and pagination automatically.

✅ **Rich Profile Data** - Capture comprehensive user information including screen names, bios, follower/following counts, tweet statistics, verification status, location, account creation dates, and business account indicators.

⚡ **Fast & Reliable** - Optimized extraction engine delivers consistent results with built-in retry logic and error handling for uninterrupted data collection.

📊 **Export-Ready Formats** - Download your data instantly in JSON, CSV, or Excel formats for seamless integration with CRM systems, marketing automation platforms, and analytics tools.

### Use Cases

**Sales Professionals**: Identify decision-makers and prospects by extracting members from industry-specific Twitter lists, enriching your CRM with social profiles, follower counts, and bio information to prioritize high-value leads.

**Market Analysts**: Monitor competitor audiences and industry influencers by scraping relevant Twitter lists to analyze audience demographics, engagement patterns, and community composition for strategic insights.

**B2B Marketers**: Build targeted outreach campaigns by collecting profiles from lists curated by industry leaders, enabling personalized messaging based on user descriptions, locations, and social authority metrics.

This web scraping tool serves as a powerful data extractor for social media intelligence, complementing solutions like LinkedIn scraper and Instagram scraper tools to export followers and extract emails for comprehensive lead generation across platforms, delivering enterprise-grade web data extraction capabilities for modern sales teams.

### FAQ

**How much does it cost to run this Actor?**
Pricing is listed in the Pricing section above, charged per row returned. You only pay for the rows
the Actor actually produces, so a small test run costs cents.

**Do I need cookies or a login?**
No. This Actor reads public data only - no cookies, no account, no browser automation.

**Can I schedule it?**
Yes. Run it from the Apify API, on a schedule, or via a webhook, and export results as JSON, CSV or Excel.

**What if I need a slightly different output?**
Open an issue on the Actor's Issues tab describing the shape you need.

### Related actors

More Twitter actors from the same portfolio. Apify only auto-recommends actors in the same category, so here are the rest of ours:

| Actor |
|---|
| [Twitter/X Comments Scraper · No Cookies](https://apify.com/data-slayer/twitter-comments) |
| [Twitter/X Community Members Scraper · No Cookies](https://apify.com/data-slayer/twitter-community-members) |
| [Twitter/X Engaged Audience Exporter · Replies + Retweeters](https://apify.com/data-slayer/twitter-engaged-audience-exporter) |
| [Twitter/X Followers Scraper · No Cookies](https://apify.com/data-slayer/twitter-followers) |
| [Twitter/X Following Scraper · Public Profiles](https://apify.com/data-slayer/twitter-followings) |
| [Twitter/X Profile Scraper · Bulk Handles, URLs & IDs](https://apify.com/data-slayer/twitter-user) |
| [Twitter/X Search Scraper · Small Jobs & Advanced Queries](https://apify.com/data-slayer/twitter-search) |
| [Twitter/X Trends Scraper · No Cookies](https://apify.com/data-slayer/twitter-trends-by-location) |
| [Twitter/X Tweet Details Scraper · URL or ID](https://apify.com/data-slayer/twitter-tweet-details) |
| [Twitter/X Tweets Scraper · No Cookies](https://apify.com/data-slayer/twitter-user-tweets) |

# Actor input Schema

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

A numeric List ID or full URL such as https://x.com/i/lists/1177128103228989440. Legacy numeric listId inputs remain supported.

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

Hard cap on unique member rows saved to the Dataset. Pagination also stops when Maximum pages is reached.

## `maxPages` (type: `integer`):

Legacy-compatible page cap. The default remains 1. Increase it only when you want the Actor to request more pages, subject to Maximum members.

## Actor input object example

```json
{
  "listId": "https://x.com/i/lists/1177128103228989440",
  "maxItems": 1000,
  "maxPages": 1
}
```

# Actor output Schema

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

One Dataset row per unique member profile. Status and diagnostic records are not written as paid member rows.

## `dataset_table` (type: `string`):

Human-readable member profile view.

## `run_summary` (type: `string`):

Completion state, page and retry counts, duplicate count, and safe error details.

# 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": "https://x.com/i/lists/1177128103228989440"
};

// Run the Actor and wait for it to finish
const run = await client.actor("data-slayer/twitter-list-members").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": "https://x.com/i/lists/1177128103228989440" }

# Run the Actor and wait for it to finish
run = client.actor("data-slayer/twitter-list-members").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": "https://x.com/i/lists/1177128103228989440"
}' |
apify call data-slayer/twitter-list-members --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,data-slayer/twitter-list-members"
        }
    }
}
```

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/rM9SYBbX0UquAK2Bp/builds/hkTmuG8Hjwo4c5S0E/openapi.json