# Find Apify Twitter scraper posts

**Use case:** 

Find up to 10 latest public X posts about Apify Twitter scraper. Save post text, links, author details, media, and engagement counts in the dataset.

## Input

```json
{
  "target": "searchPosts",
  "postDiscoveryMethod": "searchQuery",
  "searchQuery": "Apify Twitter scraper",
  "authorVerification": "any",
  "searchMode": "latest",
  "links": "include",
  "media": "include",
  "postKinds": [
    "originalPosts",
    "quotePosts",
    "replies"
  ],
  "profileDiscoveryMethod": "searchPhrases",
  "networkType": "followers",
  "trendRegionId": "1",
  "maxNbItemsToScrape": 10
}
```

## Output

```json
{
  "rowType": {
    "label": "Result type",
    "format": "text"
  },
  "postText": {
    "label": "Post text",
    "format": "text"
  },
  "postUrl": {
    "label": "Post link",
    "format": "link"
  },
  "postDateTime": {
    "label": "Post time",
    "format": "date"
  },
  "authorHandle": {
    "label": "Author",
    "format": "text"
  },
  "authorDisplayName": {
    "label": "Author name",
    "format": "text"
  },
  "authorProfileUrl": {
    "label": "Author profile",
    "format": "link"
  },
  "authorLocation": {
    "label": "Author location",
    "format": "text"
  },
  "nbLikes": {
    "label": "Likes",
    "format": "number"
  },
  "nbReposts": {
    "label": "Reposts",
    "format": "number"
  },
  "nbReplies": {
    "label": "Replies",
    "format": "number"
  },
  "nbViews": {
    "label": "Views",
    "format": "number"
  },
  "mediaDetails": {
    "label": "Media",
    "format": "array"
  },
  "hashtags": {
    "label": "Hashtags",
    "format": "array"
  },
  "linkEntities": {
    "label": "Links",
    "format": "array"
  },
  "sourceInput": {
    "label": "Source input",
    "format": "text"
  },
  "profileUrl": {
    "label": "Profile link",
    "format": "link"
  },
  "handle": {
    "label": "Handle",
    "format": "text"
  },
  "displayName": {
    "label": "Display name",
    "format": "text"
  },
  "bio": {
    "label": "Bio",
    "format": "text"
  },
  "followersCount": {
    "label": "Followers",
    "format": "number"
  },
  "networkType": {
    "label": "Network type",
    "format": "text"
  },
  "trendName": {
    "label": "Trend",
    "format": "text"
  },
  "trendRank": {
    "label": "Rank",
    "format": "number"
  },
  "trendSearchUrl": {
    "label": "Trend search",
    "format": "link"
  },
  "regionName": {
    "label": "Region",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Twitter Scraper](https://apify.com/maximedupre/twitter-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/maximedupre/twitter-scraper.md) 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/maximedupre/twitter-scraper.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).
