# Find LinkedIn Resume Advice Posts

**Use case:** 

Review LinkedIn’s editorially ranked resume advice posts, with each post’s headline, full text, publish date, reaction and comment counts, and topic rank. Choose the resume-tips topic page and adjust maxPosts to set how many posts to return.

## Input

```json
{
  "mode": "topContent",
  "topics": [
    "artificial-intelligence"
  ],
  "maxDepth": "2",
  "startUrls": [
    {
      "url": "https://www.linkedin.com/top-content/career/resume-tips/"
    }
  ],
  "postUrls": [],
  "topVoiceClassUrls": [],
  "maxVoices": 100,
  "maxPosts": 20,
  "sortBy": "linkedin_rank",
  "dateRange": "",
  "postedAfter": "",
  "postedBefore": "",
  "minReactions": 0,
  "minComments": 0,
  "mediaTypeFilter": "",
  "onlyInfluencers": false,
  "includeComments": true,
  "maxComments": 10,
  "includeVideoTranscript": false
}
```

## Output

```json
{
  "authorName": {
    "label": "Author",
    "format": "text"
  },
  "authorFollowers": {
    "label": "Followers",
    "format": "number"
  },
  "authorIsInfluencer": {
    "label": "Influencer",
    "format": "boolean"
  },
  "postedAt": {
    "label": "Posted At",
    "format": "datetime"
  },
  "headline": {
    "label": "Headline",
    "format": "text"
  },
  "content": {
    "label": "Content",
    "format": "text"
  },
  "mediaType": {
    "label": "Media",
    "format": "text"
  },
  "reactionsCount": {
    "label": "Reactions",
    "format": "number"
  },
  "commentsCount": {
    "label": "Comments",
    "format": "number"
  },
  "topicTitle": {
    "label": "Topic",
    "format": "text"
  },
  "topicRank": {
    "label": "Rank",
    "format": "number"
  },
  "postUrl": {
    "label": "Post URL",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The LinkedIn Trending Posts & Top Voices Feed Scraper Actor is ready to run with the inputs already set for "Find LinkedIn Resume Advice Posts". [Sign up or log in](https://console.apify.com/create-task-from-example/gNhUwZhW4v88sZn11) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find LinkedIn Resume Advice Posts" task

The LinkedIn Trending Posts & Top Voices Feed Scraper Actor will start running based on the input automatically. You can also change all the input fields, like mode, topics, and more, to match your specific use case.

### 3. Receive the "Find LinkedIn Resume Advice Posts" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as author, followers, influencer, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Find LinkedIn Resume Advice Posts" task via API](https://apify.com/vexaloom-labs/linkedin-trending-posts-and-top-voices-feed.md).

## FAQ

### What data do LinkedIn resume advice posts include?

The LinkedIn resume posts task returns authorName, authorFollowers, authorIsInfluencer, postedAt, headline, Content, mediaType, reactionsCount, commentsCount, topicTitle, topicRank and postUrl.

### How many LinkedIn resume posts can one run return?

The LinkedIn resume posts task is set to return at most 20 posts. Each topic page ranks 9–10 posts and has no public pagination.

### Can I export LinkedIn resume posts to CSV or Excel?

The LinkedIn resume posts task saves results in a dataset that you can download as CSV, Excel, JSON, XML, RSS or an HTML table, or read through the Apify API.

### How much does it cost to scrape LinkedIn resume advice posts?

For the LinkedIn resume posts task, the result charge is at most $0.02 on the Free plan for up to 20 results; the Actor start event and Apify platform compute usage are additional.

### Can I schedule LinkedIn resume post scraping or run it through an API?

You can schedule the LinkedIn resume posts task with Apify Schedules, run it through the Apify API, or use integrations such as Zapier, Make and n8n.

## About this Actor

This example demonstrates how to use [LinkedIn Trending Posts & Top Voices Feed Scraper](https://apify.com/vexaloom-labs/linkedin-trending-posts-and-top-voices-feed.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vexaloom-labs/linkedin-trending-posts-and-top-voices-feed.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/vexaloom-labs/linkedin-trending-posts-and-top-voices-feed.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`).