# X (Twitter) Post Engagers Lead List - Retweets, Quotes, Replies (`seemuapps/x-post-engagers-lead-list`) Actor

Export everyone who retweeted, quoted, or replied to any X (Twitter) posts as one deduplicated lead list with profile data and an engagement score per person.

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

## Pricing

from $5.00 / 1,000 engagers

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?

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) Post Engagers Lead List - Retweets, Quotes, Replies

Turn the engagement on any X (Twitter) post into a lead list. Paste one or more post URLs and get every account that retweeted, quote-tweeted, or replied - merged into a single deduplicated list with full profile data, an engagement score, and the exact quotes and replies each person wrote. No login or cookies required.

### What you get

One row per unique person, most engaged first:

- **Engagement score** and counts - how many times they retweeted, quoted, and replied, and how many of your input posts they touched
- **Engagement types** - `retweet`, `quote`, `reply` (any combination)
- **What they said** - the text, URL, timestamp, and like count of every quote and reply
- Username, display name, bio, location, website, follower/following/tweet counts, verification, account age, DM-open flag, profile picture, and profile URL
- Filters for repeat engagers (people who engaged with 2+ posts) and minimum follower count
- Export to JSON, CSV, Excel, or Google Sheets from the Apify console

### Use cases

- **Lead generation** - capture everyone who engaged with a competitor's launch post or a viral post in your niche
- **Giveaway and contest winners** - export all repliers and retweeters in one list, then pick winners
- **Superfan discovery** - drop in your last 10 posts with **Minimum posts engaged = 2** to find the people who keep showing up
- **Influencer outreach** - sort by follower count to find high-reach accounts that already engage with a topic
- **Community building** - seed a list, group, or newsletter with people who have already shown interest
- **Audience research** - read the replies and quotes people wrote to understand how a message landed

### How to use

1. Paste one or more **Post URLs** (`https://x.com/user/status/123...`) or tweet IDs - up to 50 per run
2. Choose which engagement types to include (retweeters, quote tweeters, repliers - all on by default)
3. Optionally set **Minimum posts engaged** to 2 or more to keep only repeat engagers
4. Optionally set a **Minimum followers** threshold
5. Set **Max engagers to return** (default 1,000; 0 for no limit) and **Max engagers per type per post** (default 500)
6. Run the actor - results appear in the **Dataset** tab

The post authors are excluded by default (they usually reply in their own threads). Untick **Exclude the posts' authors** to keep them.

### Output format

Each dataset record:

```json
{
  "userId": "1509876543",
  "username": "gailalfaratx",
  "name": "Gail Alfar",
  "bio": "Writer. Austin, TX.",
  "location": "Austin, TX",
  "website": "https://gailalfar.com",
  "isVerified": true,
  "followersCount": 143894,
  "followingCount": 1201,
  "tweetsCount": 48211,
  "createdAt": "2020-06-14T18:02:11.000Z",
  "canDm": true,
  "isAutomated": false,
  "profilePicture": "https://pbs.twimg.com/profile_images/.../photo.jpg",
  "profileUrl": "https://x.com/gailalfaratx",
  "engagementScore": 9,
  "engagementCount": 3,
  "postsEngaged": 2,
  "engagedPostIds": ["2095224843641987295", "2095223570918166647"],
  "engagementTypes": ["quote", "reply"],
  "retweets": 0,
  "quotes": 1,
  "replies": 2,
  "engagements": [
    {
      "postId": "2095224843641987295",
      "type": "quote",
      "tweetId": "2095277262786457682",
      "tweetUrl": "https://x.com/gailalfaratx/status/2095277262786457682",
      "text": "Leave it to Elon to...",
      "createdAt": "2026-09-02T22:26:41.000Z",
      "likeCount": 84
    }
  ]
}
```

Scoring: a reply or quote counts 3 points, a retweet 1 point. Rows are sorted by score, then by how many posts the person engaged with, then by follower count.

### Free tier limits

Runs on a free Apify plan return at most **25 engagers** per run. Upgrade to any paid Apify plan to remove the limit.

### FAQ

**Do I need to log in or provide cookies?** No. No login, no cookies, no risk to your own account.

**Does it include likes?** X no longer exposes who liked a post publicly, so likers are not available. Retweets, quotes, and replies are.

**Why is the count lower than the post's reply counter?** The actor collects direct replies only (not replies-to-replies) and de-duplicates people who replied multiple times into one row. Raise **Max engagers per type per post** to dig deeper into very viral posts.

**Need just one engagement type as separate rows?** See the [Retweeters Scraper](https://apify.com/seemuapps/x-tweet-retweeters-scraper), [Quote Tweets Scraper](https://apify.com/seemuapps/x-quote-tweets-scraper), and [Tweet Replies Scraper](https://apify.com/seemuapps/x-tweet-replies-scraper).

### 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) Retweeters Scraper](https://apify.com/seemuapps/x-tweet-retweeters-scraper) - Find every account that retweeted a post
- [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

## `tweetUrls` (type: `array`):

One or more X (Twitter) post URLs (https://x.com/user/status/123...) or numeric tweet IDs. Up to 50 per run. Engagers across all posts are merged into one deduplicated list.

## `includeRetweeters` (type: `boolean`):

Collect accounts that retweeted the post(s).

## `includeQuoters` (type: `boolean`):

Collect accounts that quote-tweeted the post(s), with their quote text.

## `includeRepliers` (type: `boolean`):

Collect accounts that replied directly to the post(s), with their reply text.

## `maxPerTypePerPost` (type: `integer`):

How many retweeters / quoters / repliers to fetch for each post before moving on. Controls how deep the actor digs into very viral posts.

## `minPostsEngaged` (type: `integer`):

Only keep people who engaged with at least this many of the input posts. Set 2+ to find repeat engagers / superfans across multiple posts.

## `minFollowers` (type: `integer`):

Skip engagers with fewer followers than this. 0 disables the filter.

## `excludeAuthors` (type: `boolean`):

Leave out the accounts that wrote the input posts (they often reply in their own threads).

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

Maximum unique people in the output, most engaged first. Set 0 for no limit.

## Actor input object example

```json
{
  "tweetUrls": [
    "https://x.com/elonmusk/status/2095224843641987295"
  ],
  "includeRetweeters": true,
  "includeQuoters": true,
  "includeRepliers": true,
  "maxPerTypePerPost": 500,
  "minPostsEngaged": 1,
  "minFollowers": 0,
  "excludeAuthors": true,
  "maxItems": 1000
}
```

# Actor output Schema

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

One row per unique engager: username, name, bio, location, follower counts, verification, engagementScore, engagementTypes\[], retweets/quotes/replies counts, postsEngaged, and the individual engagements with text.

# 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 = {
    "tweetUrls": [
        "https://x.com/elonmusk/status/2095224843641987295"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/x-post-engagers-lead-list").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 = { "tweetUrls": ["https://x.com/elonmusk/status/2095224843641987295"] }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/x-post-engagers-lead-list").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 '{
  "tweetUrls": [
    "https://x.com/elonmusk/status/2095224843641987295"
  ]
}' |
apify call seemuapps/x-post-engagers-lead-list --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/x-post-engagers-lead-list"
        }
    }
}

```

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/iPNkTot9OP31AkUaN/builds/ZiuLnPC97Rc3STxLd/openapi.json