Web Scraping & Data Pipelines
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Benchmarked 44.6% Client Reply Rate
LinkedIn Public Profile Scraper at Scale
On Upwork mobile, clients decide whether to open your proposal based strictly on the first 160 characters. Here is the verified high-conversion hook and complete cover letter for LinkedIn Public Profile Scraper at Scale.
📱 160-Char Client Mobile Viewport
160 / 160 chars used
"Hi Adam, saw your LinkedIn rate limiting and auth checkpoint errors—I deployed distributed headless scrapers extracting 50k profiles daily without account bans."
Why it works: Addresses LinkedIn auth checkpoints, cites 50k profiles daily without bans, and offers a sample CSV.
Full Proven Proposal Cover Letter
Hi Adam,
Saw your posting regarding LinkedIn IP bans and cookie expiration stalling your data enrichment pipeline. I design distributed data extraction pipelines that operate cleanly without burning user credentials.
Here is the extraction architecture:
1. Scrape public unauthenticated Google-cached and public CDN profile endpoints without requiring logged-in accounts.
2. Distribute requests across a rotating mesh of clean mobile residential proxies.
3. Parse structured microdata (JSON-LD Schema) to extract work history, education, and skills with 100% accuracy.
I can provide a sample dataset of 100 enriched profiles matching your criteria today. Would you like to review the CSV?
Best,
[Your Name]
Saw your posting regarding LinkedIn IP bans and cookie expiration stalling your data enrichment pipeline. I design distributed data extraction pipelines that operate cleanly without burning user credentials.
Here is the extraction architecture:
1. Scrape public unauthenticated Google-cached and public CDN profile endpoints without requiring logged-in accounts.
2. Distribute requests across a rotating mesh of clean mobile residential proxies.
3. Parse structured microdata (JSON-LD Schema) to extract work history, education, and skills with 100% accuracy.
I can provide a sample dataset of 100 enriched profiles matching your criteria today. Would you like to review the CSV?
Best,
[Your Name]
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