LinkedIn Scraperv1.0.0

A boutique recruiting firm uses the scraper to pull LinkedIn profiles matching specific role criteria (title, company, location) and batch-imports them into DuckDB as candidate leads. Recruiters then enrich and prioritize outreach based on current title and experience. This replaces hours of manual copy-paste into spreadsheets.

A sales development team scrapes LinkedIn search results for decision-makers at target companies, filtering by industry and network degree. Contacts are stored in the Ironclaw leads object and synced with their CRM for cold email sequences. The tool lets SDRs build hundreds of qualified leads per week without costly data vendors.

An early-stage venture fund uses the YC founder search pattern to identify and track founders in specific sectors, pulling profiles with education, prior roles, and mutual connections. Analysts batch-insert results into DuckDB to score and map the startup ecosystem. This accelerates deal pipeline discovery beyond warm intros.

A market research analyst scrapes company pages and their /people tabs to map team sizes, organizational structure, and key hires at competitors. The data feeds into quarterly benchmarks on headcount growth and talent movement across the industry. This offers a low-cost alternative to LinkedIn Sales Navigator seats.

A solo operator offers lead list building as a productized service, using the scraper to deliver curated prospect lists to small business clients. They generate search URLs per client niche, scrape 50-80 profiles per session, and deliver structured CSV/JSON exports. Payment is per-lead or as a monthly retainer.

Freelancers or agencies sell pre-built, niche-specific LinkedIn lead lists to sales teams, recruiters, or agencies on a per-list or subscription basis. They use the scraper to fulfill requests at speed and deliver structured JSON/CSV files. Value comes from accuracy, freshness, and filtering granularity.

Recruiters scrape candidate pools for open roles and place them with client companies, charging a percentage of first-year salary. The scraper dramatically increases top-of-funnel volume, letting one recruiter cover more roles. Data is stored locally and used solely for candidate outreach and pipeline tracking.

A tooling company wraps the scraper into a lightweight SaaS that lets SDR teams build and refresh lead lists inside their workspace, integrated with DuckDB storage. Customers pay monthly for seat access, export credits, and enriched fields. Compliance positioning (user's own LinkedIn session) is a key differentiator.