Brand identity extraction (logo, colors, fonts, tagline)
POST /v1/brand + /v1/extract
Lead enrichment from any domain.
Turn a company domain into structured firmographic data.
Given a company website, webclaw extracts brand identity, tech stack signals, team information, pricing tiers, and product features. Perfect for sales intelligence, ABM targeting, and enrichment pipelines without paying Clearbit or ZoomInfo prices.
How it works
Build it step by step.
The real flow, one step at a time. Switch between TypeScript, Python, and cURL on any snippet.
- 1
Start from a domain
Take a company website and use /v1/map to locate its About, Pricing, and Team pages.
const domain = "example.com";// Discover the pages worth enriching fromconst { links } = await webclaw.map({ url: `https://${domain}` });const pages = links.filter((url) => /\/(about|pricing|team)/i.test(url),); - 2
Define a firmographic schema
Describe the fields to capture: company name, industry, tagline, product categories, and target audience.
// One schema, reused across every domainconst schema = { type: "object", properties: { company_name: { type: "string" }, industry: { type: "string" }, tagline: { type: "string" }, product_categories: { type: "array", items: { type: "string" } }, target_audience: { type: "string" }, },}; - 3
Extract structured data
Call /v1/extract with that schema so every site returns the same consistently shaped JSON.
// Same schema in, same JSON shape out — every timeconst firmographic = await webclaw.extract({ url: `https://${domain}`, schema,});console.log(firmographic.data); - 4
Merge into your CRM
Combine the extracted firmographics with brand identity and push the enriched record to your pipeline.
// Add brand identity, then push the enriched recordconst brand = await webclaw.brand({ url: `https://${domain}` });const lead = { domain, ...firmographic.data, ...brand.data };await crm.upsert(lead);
Why webclaw
Built for lead enrichment.
LLM structured extraction with custom schemas
Site mapping to discover About, Pricing, Team pages
Fresh data: scrape on demand, not stale databases
Predictable per-page pricing at scale
What you get
Everything this use case needs.
- Brand extraction (logo, colors, fonts)
- LLM structured extraction with schemas
- Sitemap and page discovery
- Fresh data on every call
- Volume-friendly pricing
Where it fits
Built for the messy parts.
Enrichment providers charge $0.20-$2 per contact lookup and provide stale data scraped months ago. Building your own scraping pipeline requires handling bot protection, parsing diverse site structures, and extracting fields consistently across thousands of sites.
webclaw /v1/brand extracts design identity and positioning. /v1/extract with a firmographic schema pulls structured company data from About, Pricing, and Team pages. Combine with /v1/crawl for full-site enrichment and /v1/map for sitemap discovery.
Common questions
Frequently asked questions
Can webclaw replace Clearbit or ZoomInfo for lead enrichment?
For firmographic data extracted from public websites, yes. webclaw gives you structured company data from home, about, pricing, and team pages at a fraction of the cost. It does not provide B2B contact emails, which are datasets Clearbit builds separately.
How do I extract the same fields across 10,000 different company sites?
Define a JSON schema once and use /v1/extract with that schema against every domain. The LLM extraction handles the variation in page structures and returns consistently shaped output you can load into your CRM.
What about privacy and GDPR compliance?
webclaw only scrapes publicly accessible content, respects robots.txt by default, and does not store customer data. You are responsible for complying with GDPR, CCPA, and other regulations when processing scraped data.
For AI agents
Or hand it to your agent.
Add the webclaw MCP server to Claude, Cursor, or any MCP client, then paste this prompt. The agent calls the webclaw tools and hands the result back to your model — no code to write.
PROMPT FOR YOUR AGENT
Using the webclaw tools, enrich this company into a structured lead record: [the company domain]. First call map on the domain to locate its About, Pricing, and Team pages, then call brand on the domain to pull its logo, colors, fonts, and tagline. Next call extract on the homepage (and the About/Pricing pages you found) with a firmographic schema capturing company_name, industry, tagline, product_categories, target_audience, and pricing_tiers, so every field comes back consistently shaped. Merge the brand identity and the extracted firmographics into a single enriched JSON record keyed by the domain. Return that JSON plus a short summary table of the key firmographic fields so I can drop it straight into my CRM.
Ready to build? Start extracting.
Cancel anytime. Clean, structured data on every call.