LinkedIn Job Scraper

PhantomBuster’s LinkedIn Post Likers Export Automation lets you extract the profiles of users who liked specific LinkedIn posts. This tutorial outlines the essential steps to set up and launch the Automation efficiently.

• Extraction limit: LinkedIn only displays up to 3,000 likers per post; the Phantom cannot extract beyond this limit.

• Input requirements: Google Sheets must be shared with "Anyone with the link," and CSV files must be publicly accessible (paid plans only).

• Free plan limitations: Exports are limited to the first 10 rows (CSV only); dynamic CSV links, JSON exports, and CSV input uploads are unavailable.

• Performance: Estimated processing time is 25 seconds per 900 likers; uses 1 execution slot per run.

• Compatibility: This Phantom does not send data to the LinkedIn Leads page.

1. Connect your LinkedIn account: Install the PhantomBuster browser extension and connect your LinkedIn session in one click, or retrieve your session cookie manually if not using Chrome or Firefox.

   Keep your browser updated; outdated versions can cause session cookies to expire faster, requiring frequent reconnection.

2. Provide LinkedIn post URLs: Paste a single post URL, or provide a Google Sheet or publicly accessible CSV containing a list of post URLs.

   The Phantom uses the first column (A) by default; enter the exact column header name if your URLs are located elsewhere.

3. Control how many posts are processed: Optionally enable duplicate removal or Watcher mode, and set the number of posts to process per launch (leave empty to process all).

   Running too many posts in one launch may force frequent session cookie refreshes.

4. Configure result file settings (optional): Set a custom results file name or list specific fields to keep in the final output.

   Renaming the results file between launches creates a new file and restarts processing from the first input.

5. Select launch frequency:

   Choose to launch manually, schedule a one-time or recurring run, or trigger the Phantom after another Automation finishes.

6. Adjust advanced settings (optional):

   Leave defaults unless needed; you can fine-tune execution limits, retries, notifications, proxies, and file management.

7. Launch and retrieve results: Click Launch to start, then review the collected data in the Results tab to download as CSV/JSON or export to Google Sheets.

   Output fields include: profileLink, name, firstName, lastName, occupation, degree, reactionType, and companyUrl.

For more detailed instructions and troubleshooting, see the full tutorial on the help center.