# Extract the Team Page of a Proptech Company

**Use case:** 

Reads the about or team page of one proptech company and returns the named people on it with titles.

## Input

```json
{
  "domain": "matterport.com",
  "output_grain": "person",
  "seniority_filter": "all",
  "max_people": "40",
  "include_emails": false,
  "skipCache": "false",
  "source_tag": "team-page-people-extractor:extract-the-team-page-of-a-proptech-company"
}
```

## Output

```json
{
  "full_name": {
    "label": "Full Name",
    "format": "string"
  },
  "job_title": {
    "label": "Job Title",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority",
    "format": "string"
  },
  "company_domain": {
    "label": "Company Domain",
    "format": "string"
  },
  "source_path": {
    "label": "Source Path",
    "format": "string"
  },
  "affiliation_confidence": {
    "label": "Affiliation Confidence",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Team Page People Extractor Executives Names Titles Clay](https://apify.com/mambalabs/team-page-people-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/mambalabs/team-page-people-extractor.md) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/mambalabs/team-page-people-extractor.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).