GetLatka SaaS Company Revenue Directory Scraper

Scrape SaaS company revenue, ARR, funding, founder, and employee data from GetLatka's public directory. Covers 45,000+ profiles with structured metrics: revenue, total funding raised, team size, founding year, CEO name, and industry.

What it does

GetLatka is the leading public source of SaaS company financial metrics — ARR, revenue, funding raised, employee headcount, founding year, and CEO name — all available as structured HTML on public company profile pages. This scraper walks GetLatka's company sitemaps and extracts structured JSON-LD data from each profile page.

Each result record contains:

• company_name — The company's display name
• slug — URL slug (unique identifier)
• profile_url — Full URL to the GetLatka profile page
• revenue — Annual revenue / ARR (formatted, e.g. $35.7M)
• arr — Annual Recurring Revenue (same as revenue on GetLatka — all revenue is reported as ARR)
• mrr — Monthly Recurring Revenue (computed as ARR / 12)
• valuation — Company valuation (null when not publicly disclosed)
• funding_raised — Total funding raised (e.g. $123.0M)
• founded — Founding year (e.g. 2018)
• employees — Employee count at last update
• ceo_founder — CEO/Founder name
• industry — Primary industry category

Input

Field	Type	Description	Default
maxItems	integer	Maximum number of company profiles to scrape	10

Sample output

{
  "company_name": "AppOmni",
  "slug": "appomni",
  "profile_url": "https://getlatka.com/companies/appomni",
  "revenue": "$35.7M",
  "arr": "$35.7M",
  "mrr": "$2.9M",
  "valuation": null,
  "funding_raised": "$123.0M",
  "founded": "2018",
  "employees": "224",
  "ceo_founder": "Brendan O'Connor",
  "industry": "Security Compliance Software"
}

How it works

1. Fetches https://getlatka.com/sitemap.xml to discover the 3 companies sitemaps
2. Streams through companies-0.xml (45,000 URLs) stopping early once maxItems is reached
3. Fetches each company profile page using a Chrome TLS fingerprint (core_crawler)
4. Extracts structured data from embedded JSON-LD Organization and Dataset schemas
5. Computes MRR from ARR / 12 where available

Data source

Data is sourced exclusively from GetLatka's public company profiles at https://getlatka.com/companies/<slug>. All metrics are self-reported by founders and CEOs on the GetLatka podcast.

Use cases

• VC research — Identify high-growth SaaS companies with verified ARR before investing
• Sales intelligence — Build prospect lists filtered by revenue, team size, or industry
• Competitive analysis — Compare revenue and growth trajectories across a market vertical
• Market mapping — Survey an industry category by founding year, employee count, and funding

Notes

• Valuation data is frequently not disclosed. The valuation field returns null for most companies.
• Revenue figures represent the most recent year reported by the founder, not a current real-time metric.
• The scraper accesses only public pages — no login or subscription required.