Find LinkedIn Resume Advice Posts
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
Output fields
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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 and you'll land in Apify Console with a copy of this exact task.
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, start urls (exact top content pages), and more, to match your specific use case.
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.
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.
The LinkedIn resume posts task returns authorName, authorFollowers, authorIsInfluencer, postedAt, headline, Content, mediaType, reactionsCount, commentsCount, topicTitle, topicRank and postUrl.
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.
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.
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.
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.