# X Post Metrics with Follower Counts | Public Data

**Use case:** 

Collect public X post views, likes, replies, reposts, quotes, bookmarks, author follower counts, profile details, text, dates, and metric status.

## Input

```json
{
  "startUrls": [
    "https://x.com/OpenAI/status/2077928568894709905",
    "https://x.com/Hey_Aivetra/status/2078505137979670821",
    "https://x.com/Sporting_CPAdep/status/2078505130865889407"
  ]
}
```

## Output

```json
{
  "platform": {
    "label": "Platform",
    "format": "string"
  },
  "inputUrl": {
    "label": "Input URL",
    "format": "string"
  },
  "postUrl": {
    "label": "Post URL",
    "format": "string"
  },
  "postId": {
    "label": "Post ID",
    "format": "string"
  },
  "postType": {
    "label": "Post Type",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published At",
    "format": "string"
  },
  "text": {
    "label": "Post Text",
    "format": "string"
  },
  "profileUrl": {
    "label": "Profile URL",
    "format": "string"
  },
  "profileId": {
    "label": "Profile ID",
    "format": "string"
  },
  "profileUsername": {
    "label": "Profile Username",
    "format": "string"
  },
  "profileName": {
    "label": "Profile Name",
    "format": "string"
  },
  "views": {
    "label": "Views",
    "format": "integer"
  },
  "likes": {
    "label": "Likes",
    "format": "integer"
  },
  "replies": {
    "label": "Replies",
    "format": "integer"
  },
  "reposts": {
    "label": "Reposts",
    "format": "integer"
  },
  "quotes": {
    "label": "Quotes",
    "format": "integer"
  },
  "bookmarks": {
    "label": "Bookmarks",
    "format": "integer"
  },
  "postMetricStatus": {
    "label": "Post Metric Status",
    "format": "array"
  },
  "profileFollowers": {
    "label": "Profile Followers",
    "format": "integer"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "statusReason": {
    "label": "Status Reason",
    "format": "string"
  },
  "observedAt": {
    "label": "Observed At",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [X Post Metrics Scraper](https://apify.com/chronometrica/x-post-metrics) with a specific input configuration. Visit the [Actor detail page](https://apify.com/chronometrica/x-post-metrics) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/chronometrica/x-post-metrics.md

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).