# Profile Network for TechCrunch | Xquik

**Use case:** 

Collect the public profile network for TechCrunch with structured profile and source attribution fields.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://x.com/OpenAI"
    }
  ],
  "twitterHandles": [
    "TechCrunch"
  ],
  "userIds": [
    "44196397"
  ],
  "includeTweets": false,
  "includeReplies": false,
  "includeMedia": false,
  "includeLikes": false,
  "includeFollowers": true,
  "includeFollowing": true,
  "includeVerifiedFollowers": false,
  "nativeRetweets": false,
  "verifiedOnly": false,
  "maxItems": 300,
  "dedupeAcrossTargets": true,
  "maxConcurrency": 100
}
```

## Output

```json
{
  "resultType": {
    "label": "Result Type",
    "format": "string"
  },
  "id": {
    "label": "Result ID",
    "format": "string"
  },
  "name": {
    "label": "Name",
    "format": "string"
  },
  "username": {
    "label": "Username",
    "format": "string"
  },
  "followers": {
    "label": "Followers",
    "format": "integer"
  },
  "following": {
    "label": "Following",
    "format": "integer"
  },
  "verified": {
    "label": "Verified",
    "format": "boolean"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "sourceTarget": {
    "label": "Source Target",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "message": {
    "label": "Message",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [X Profile Scraper | $0.15/1K | Pay-Per-Result](https://apify.com/xquik/x-profile-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/xquik/x-profile-scraper) to learn more, explore other use cases, and run it yourself.


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

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/xquik/x-profile-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).