LinkedIn wins court order blocking mass scraping of user data
Image: Greg Bulla / UnsplashSuzanne SmalleySeptember 21st, 2026LinkedIn wins court order blocking mass scraping of user data A California federal judge on Thursday finalized a deal between LinkedIn and two software companies that requires the firms to stop scraping user data on a mass scale. The agreement between LinkedIn, ProAPIs and joint business operator Netswift also requires the firms to stop selling and transferring the data, no longer access LinkedIn through fake accounts and delete the data that was scraped, according to a senior LinkedIn executive. Sarah Wight, who oversees litigation and enforcement for the tech giant, called the outcome an important triumph in a Thursday LinkedIn post.
- ▪Image: Greg Bulla / UnsplashSuzanne SmalleySeptember 21st, 2026LinkedIn wins court order blocking mass scraping of user data A California federal judge on Thursday finalized a deal between LinkedIn and two software companies that requires t
- ▪The agreement between LinkedIn, ProAPIs and joint business operator Netswift also requires the firms to stop selling and transferring the data, no longer access LinkedIn through fake accounts and delete the data that was scraped, according
- ▪Sarah Wight, who oversees litigation and enforcement for the tech giant, called the outcome an important triumph in a Thursday LinkedIn post.
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Record
| Original publisher | Therecord |
| Canonical URL | https://therecord.media/linkedin-wins-court-order-blocking-mass-scraping |
| Publication time | Thu, 24 Sep 2026 16:02:52 +0000 |
| Retrieval time | 2026-09-24T16:45:27.193Z |
| Last seen | 2026-09-24T16:45:27.193Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Xbl-uXmkdnKL · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Image: Greg Bulla / UnsplashSuzanne SmalleySeptember 21st, 2026LinkedIn wins court order blocking mass scraping of user data A California federal judge on Thursday finalized a deal between LinkedIn and two software companies that requires the firms to stop scraping user data on a mass scale. The agreement between LinkedIn, ProAPIs and joint business operator Netswift also requires the firms to stop selling and transferring the data, no longer access LinkedIn through fake accounts and delete the data that was scraped, according to a senior LinkedIn executive. Sarah Wight, who oversees litigation and enforcement for the tech giant, called the outcome an important triumph in a Thursday LinkedIn post. “Your profile is yours,” Wight said.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Therecord.
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