# X (Twitter) Retweeters Scraper - Who Retweeted a Post (`seemuapps/x-tweet-retweeters-scraper`) Actor

Extract every account that retweeted any X (Twitter) post, with follower counts and verification status. Ideal for influencer identification and lead gen.

- **URL**: https://apify.com/seemuapps/x-tweet-retweeters-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** AI, Social media, Lead generation
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 retweeter 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) Retweeters Scraper - Who Retweeted a Post

Extract every account that retweeted any X (Twitter) post, with follower counts and verification status. Ideal for influencer identification and lead gen.

### What you get

- Username, display name, bio, and location for every retweeter
- Follower and following counts, tweet count, media count, and likes count
- Verification status - Blue verified and verified type
- Account signals - creation date, automated/bot flag, possibly-sensitive flag
- Profile and cover picture URLs, profile URL, and pinned tweet IDs
- Cursor-based pagination - capture large retweet chains across multiple runs

### Free tier vs. paid

Free runs are capped to help cover data costs:

- **25 retweeters per run**
- **3 runs per day** (UTC)
- **30-minute wait** between runs

Upgrade to any paid plan on the actor's pricing page to lift all three limits - your `Max Retweeters` setting is honored in full and runs are unrestricted.

### Use cases

- Influencer identification - find the accounts with the largest audiences amplifying a post
- Amplification and virality analysis - understand who is spreading a message and how far it travels
- Competitive analysis - see who is boosting a competitor's announcement or campaign
- Lead generation - retweeters are highly engaged accounts, often with large audiences of their own
- Brand monitoring - track who is spreading a mention of your brand or product

### How to use

1. Enter a **Tweet ID or URL** (numeric ID or `https://x.com/user/status/...`)
2. Set **Max Retweeters** (default 200; 0 for unlimited)
3. Run the actor - one retweeter per row in the **Dataset** tab
4. To fetch more retweeters, open the **Key-value store** tab → copy the `NEXT_PAGE_ID` value → paste it into **Page ID** on your next run

### Output format

One retweeter per dataset row - perfect for direct CSV, Excel, or Google Sheets export:

```json
{
  "parentTweetId": "2050965645991522635",
  "username": "example_user",
  "userId": "123456789",
  "name": "Example User",
  "description": "Building things on the internet.",
  "location": "San Francisco, CA",
  "isBlueVerified": true,
  "verifiedType": null,
  "followersCount": 24500,
  "followingCount": 812,
  "tweetsCount": 15230,
  "mediaCount": 640,
  "likesCount": 9800,
  "createdAt": "Wed Jan 01 12:05:00 +0000 2015",
  "profilePicture": "https://pbs.twimg.com/profile_images/....jpg",
  "coverPicture": "https://pbs.twimg.com/profile_banners/....jpg",
  "pinnedTweetIds": ["1847001234567890"],
  "profileUrl": "https://x.com/example_user",
  "isAutomated": false,
  "possiblySensitive": false
}
```

### Pagination

If the post has more retweeters than **Max Retweeters** allows, the actor saves a resume cursor to the default **Key-value store** under the key `NEXT_PAGE_ID`.

1. Open the **Key-value store** tab on the run page
2. Copy the value of `NEXT_PAGE_ID`
3. Start a new run and paste it into **Page ID**

When `NEXT_PAGE_ID` is `null`, all retweeters have been fetched.

### Input options

| Field | Type | Description |
|-------|------|-------------|
| Tweet ID or URL | string | Numeric ID or full tweet URL (required) |
| Max Retweeters | integer | Cap per run - default 200, 0 for unlimited |
| Page ID | string | `NEXT_PAGE_ID` from the previous run's Key-value store, to resume pagination |

### Related X (Twitter) actors

Part of a complete X (Twitter) toolkit - explore the rest of the suite:

- [X (Twitter) Profile Scraper](https://apify.com/seemuapps/x-profile-scraper) - Public profile data - bio, counts, links
- [X (Twitter) User Tweets Scraper](https://apify.com/seemuapps/x-user-tweets-by-username) - Full timeline of any account by username
- [X (Twitter) Tweet Scraper](https://apify.com/seemuapps/x-tweet-scraper) - Search and export tweets by query, hashtag, user
- [X (Twitter) Tweet Replies Scraper](https://apify.com/seemuapps/x-tweet-replies-scraper) - Every reply under a post for sentiment analysis
- [X (Twitter) Quote Tweets Scraper](https://apify.com/seemuapps/x-quote-tweets-scraper) - Every quote tweet of a post, with engagement
- [X (Twitter) Followers & Following Scraper](https://apify.com/seemuapps/x-followers-following-scraper) - Full followers and following lists, no login
- [X (Twitter) List Members Scraper](https://apify.com/seemuapps/x-list-members-scraper) - Members or followers of any public list
- [X (Twitter) Active Hours Analyzer](https://apify.com/seemuapps/x-active-hours-analyzer) - Posting heatmap, peak hours, and time zone
- [X (Twitter) User Mentions Scraper](https://apify.com/seemuapps/x-user-mentions-scraper) - Brand and keyword monitoring across mentions
- [X (Twitter) User Search Scraper](https://apify.com/seemuapps/x-user-search-scraper) - Find accounts by bio or keyword for lead gen
- [X (Twitter) Trends Scraper](https://apify.com/seemuapps/x-trends-scraper) - Trending topics and hashtags by location
- [X (Twitter) Article to Markdown Scraper](https://apify.com/seemuapps/x-article-to-markdown-scraper) - Long form Articles as clean Markdown
- [X (Twitter) MCP Server](https://apify.com/seemuapps/x-mcp) - All X tools for AI agents via MCP

# Actor input Schema

## `tweetId` (type: `string`):

Tweet ID (numeric) or full tweet URL (https://x.com/user/status/<id>) whose retweeters you want to extract.

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

Maximum retweeters to return. Set 0 for unlimited.

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

Optional. Cursor from a previous run to resume.

## Actor input object example

```json
{
  "tweetId": "https://x.com/elonmusk/status/2050965645991522635",
  "maxItems": 200
}
```

# Actor output Schema

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

One row per retweeter: username, userId, name, bio, location, follower/following counts, verification status, profile picture.

## `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 all retweeters are fetched.

# 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 = {
    "tweetId": "https://x.com/elonmusk/status/2050965645991522635"
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/x-tweet-retweeters-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 = { "tweetId": "https://x.com/elonmusk/status/2050965645991522635" }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/x-tweet-retweeters-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 '{
  "tweetId": "https://x.com/elonmusk/status/2050965645991522635"
}' |
apify call seemuapps/x-tweet-retweeters-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/O5ib4CxwaibP5PkVX/builds/7gS4hAoA1W9YYoVbm/openapi.json