Viral Social Media Post Scraping Task

I looking for a skilled freelancer to locate viral content on LinkedIn that fits a set of recency and engagement thresholds I will share once we start. After identifying each post, scrape its URL and capture the headline or topic along with the visible engagement figures (likes, comments, shares, or reactions shown on the platform).

Accuracy matters: if a post falls outside the date range or fails to meet the minimum interaction level, leave it out. I expect the final file in a clean spreadsheet (Google Sheets) with multiple columns—Post Topic, URL, Engagement Metrics—ready for immediate use.

Use whatever stack you’re most comfortable with: Python-Selenium, Scrapy, or a LinkedIn-compatible API. Just make sure the scrape respects rate limits and avoids account blocks so nothing interrupts delivery.

No logins or LinkedIn Sales Nav cookies will be provided.
You must be able to pull the data independently.

Deliverable
- Spreadsheet containing the qualified LinkedIn post URLs, topics, and engagement counts; no missing or duplicate rows
- Exactly 20 rows needed for this initial effort

*Interested in long-term ongoing partnership with the right freelancer. Further engagements may be for larger volume.

Once hired, I’ll pass the exact filters and a brief style guide for the sheet. Communicate progress early, flag obstacles quickly, and return the finished spreadsheet by the agreed deadline without errors.