← ClaudeAtlas

lead-enrichmentlisted

Discover and qualify B2B leads using webclaw. Start from a CSV of domains, a directory or "best tools" listing URL, or a plain-language ICP description — get back an enriched sheet of firmographics (company name, pitch, published contact email, socials, pricing model, target customer, tech signals, or any custom field) read from each company's own site via /v1/extract. Use when the user wants to find/discover leads, build a prospect list, qualify companies from their websites, or asks for a "Clay alternative" without per-seat pricing. Billed per extract call, not per seat.
0xMassi/webclaw-skill · ★ 3 · AI & Automation · score 68
Install: claude install-skill 0xMassi/webclaw-skill
# Lead finding + enrichment with webclaw Start from whatever the user has — a CSV, a listing URL, or just a description of who they sell to — and end with an enriched lead sheet: what each company does, who it sells to, a published contact email, socials, pricing model, and the tech it mentions. Everything comes from each company's own public pages — no licensed contact database, no per-seat platform. ## What this skill does (and what it doesn't) This skill is the **discovery + firmographics** half of lead gen. It finds companies (from listings or an ICP) and reads generic facts off each company's own site via `/v1/extract` — pitch, a published contact email, socials, pricing model, target customer, tech signals, or **any custom field you define**. That flexible schema is its whole point. Run `find.py` to build the company list, then `enrich.py` to extract custom fields from each website. Results are limited to information published on the pages you provide. ## Prerequisites The [webclaw skill / MCP server](https://webclaw.io) (`npx create-webclaw`). For bulk runs, a `WEBCLAW_API_KEY` (free tier at webclaw.io works). ## Pick the entry point by what the user has | The user has... | Do this | |---|---| | A CSV of domains | Enrich it directly (below) | | A listing URL — a directory, awesome-list, "best X tools" article, YC/PH category page | `find.py --url <listing>` → then enrich | | Just a description of their ICP | `find.py --query "..."` → review the found list with