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Score LinkedIn job matches with OpenAI, Google Sheets, Slack, and Apify

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Created by: Hanna Nosova || fetch-cat
Hanna Nosova

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Last update a day ago

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Quick overview

Runs fetch_cat/linkedin-jobs-scraper daily to collect recent LinkedIn jobs, scores each listing against your candidate profile with OpenAI, saves qualified matches to Google Sheets, and sends the five strongest results to Slack without redelivering previously processed job IDs.

How it works

  1. Runs on a daily schedule (or via manual trigger) and ensures an n8n Data Table exists to track which LinkedIn job IDs have already been delivered.
  2. Runs the FetchCat LinkedIn Jobs Scraper (fetch_cat/linkedin-jobs-scraper) through Apify's API using your configured keywords and location, waits for the Actor run to finish, and downloads up to 10 structured job records from its dataset.
  3. Normalizes the scraped job records, caps the list to 10 items, and skips any jobs that already exist in the delivery ledger.
  4. Sends the remaining jobs to OpenAI in one structured request to score each job against your candidate profile and filters out results below the minimum score.
  5. Appends or updates qualified matches in Google Sheets (upserting by LinkedIn job ID) and formats a Slack message containing the five highest-scoring jobs.
  6. Posts the digest to your chosen Slack channel and records the delivered job IDs in the n8n Data Table only after both Google Sheets and Slack steps succeed.

Setup

  1. Open https://apify.com/fetch_cat/linkedin-jobs-scraper, add the FetchCat LinkedIn Jobs Scraper to your Apify account if required, then create an Apify API token. In n8n, add an HTTP Header Auth credential with header Authorization and value Bearer YOUR_APIFY_TOKEN, and select it in both FetchCat HTTP Request nodes.
  2. Add your OpenAI credentials and confirm the OpenAI model selection used for scoring.
  3. Connect Google Sheets OAuth credentials, set the target spreadsheet/document ID, and ensure a sheet/tab (for example, “Jobs”) exists with columns matching the fields being written (including “LinkedIn job ID”).
  4. Connect Slack credentials and select the channel where the digest should be posted.
  5. Update the search settings (keywords, location, candidate profile, minimum score, and max items) in the “Set Your Job Search” step and adjust the schedule time if needed.

Requirements

  • Apify account with access to FetchCat LinkedIn Jobs Scraper: fetch_cat/linkedin-jobs-scraper

Customization

  • Edit keywords, location, candidate profile, minimum score, and item limit in 1. Set Your Job Search. The workflow is configured specifically for fetch_cat/linkedin-jobs-scraper; keep its Actor input fields when adapting the search.

Additional info

Actor used: FetchCat LinkedIn Jobs Scraper (fetch_cat/linkedin-jobs-scraper) - https://apify.com/fetch_cat/linkedin-jobs-scraper. It provides the structured LinkedIn job data used by the scoring, Google Sheets, and Slack steps. The template calls the Actor through standard HTTP Request nodes so it works in both n8n Cloud and self-hosted n8n without installing a community node.