Developer Introduces Lightweight Workflow for Building B2B Lead Lists Without LinkedIn Scraping

On November 5, 2026 at 08:03, DEV Community's AI channel published a post titled "Building B2B prospect lists without scraping LinkedIn, using public data". The author discloses that he builds the tools described, and that AI helped him write both the tools and the post. He opens by criticizing how existing lead list tools work: most of them start by scraping LinkedIn, which violates its terms of service, gets accounts banned, and produces data that goes stale quickly. He then argues that much of the same buying signal already sits in places that are publicly readable and lawful to access: companies' own job boards, their websites, their DNS records, and official government registries. The core of the post is a lightweight pipeline that takes a list of company domains and converts them into a short, prioritized B2B account list. The key step is calling a specific Apify Actor that reads public hiring activity, which, he says, lets companies capture clear purchase signals at very low cost, bypassing LinkedIn scraping entirely. As of this writing, we have found only this single report, from DEV Community · AI; the author positions himself as the builder of the tooling, and no further follow-up coverage has appeared.