# Build a warm audience from the last 7 days

**Use case:** 

A tight recency window for fast-moving plays. Capture only the people who engaged with a profile's posts in the past week, so your outreach lands while the interest is still hot. Use it weekly to keep a fresh warm list flowing, or right after a big post to catch the surge while it is live. Every row is enriched with profile and company.

## Input

```json
{
  "linkedin_profile_url": "https://www.linkedin.com/in/example-profile",
  "timeframe": "last_7_days",
  "max_posts": 25,
  "include_commenters": true,
  "include_reactors": true,
  "include_reposters": false
}
```

## Output

```json
{
  "full_name": {
    "label": "Name",
    "format": "text"
  },
  "first_name": {
    "label": "First name",
    "format": "text"
  },
  "middle_name": {
    "label": "Middle name",
    "format": "text"
  },
  "last_name": {
    "label": "Last name",
    "format": "text"
  },
  "phone_number": {
    "label": "Phone",
    "format": "text"
  },
  "job_title": {
    "label": "Job title",
    "format": "text"
  },
  "profile_headline": {
    "label": "Headline",
    "format": "text"
  },
  "profile_about": {
    "label": "About",
    "format": "text"
  },
  "current_company_name": {
    "label": "Company",
    "format": "text"
  },
  "company_industry": {
    "label": "Industry",
    "format": "text"
  },
  "company_website": {
    "label": "Company website",
    "format": "link"
  },
  "company_id": {
    "label": "Company ID",
    "format": "text"
  },
  "current_company_linkedin_url": {
    "label": "Company LinkedIn",
    "format": "link"
  },
  "job_description": {
    "label": "Job description",
    "format": "text"
  },
  "location": {
    "label": "Location",
    "format": "text"
  },
  "country": {
    "label": "Country",
    "format": "text"
  },
  "profile_link": {
    "label": "LinkedIn",
    "format": "link"
  },
  "linkedin_sales_link": {
    "label": "Sales Navigator",
    "format": "link"
  },
  "username": {
    "label": "Username",
    "format": "text"
  },
  "linkedin_id": {
    "label": "LinkedIn member ID",
    "format": "text"
  },
  "connections": {
    "label": "Connections",
    "format": "number"
  },
  "followers": {
    "label": "Followers",
    "format": "number"
  },
  "twitter_link": {
    "label": "Twitter",
    "format": "link"
  },
  "is_premium": {
    "label": "Premium",
    "format": "boolean"
  },
  "engagement_type": {
    "label": "Engagement",
    "format": "text"
  },
  "comment_text": {
    "label": "Comment",
    "format": "text"
  },
  "comment_url": {
    "label": "Comment URL",
    "format": "link"
  },
  "reaction_type": {
    "label": "Reaction",
    "format": "text"
  },
  "post_url": {
    "label": "Post URL(s)",
    "format": "link"
  },
  "post_author": {
    "label": "Post author",
    "format": "text"
  },
  "post_author_linkedin_url": {
    "label": "Post author LinkedIn",
    "format": "link"
  },
  "post_text": {
    "label": "Post text",
    "format": "text"
  },
  "source_influencer_profile_url": {
    "label": "Source thought leader",
    "format": "link"
  },
  "engagement_count": {
    "label": "Engagement count",
    "format": "number"
  },
  "unique_posts_engaged": {
    "label": "Unique posts engaged",
    "format": "number"
  },
  "posts_engaged_with": {
    "label": "Posts engaged with",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [LinkedIn Profile Engagers Scraper](https://apify.com/data-slayer/linkedin-audience-email-finder-no-cookies.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data-slayer/linkedin-audience-email-finder-no-cookies.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/data-slayer/linkedin-audience-email-finder-no-cookies.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).