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URL: https://apify.com/jungle_synthesizer/getlatka-saas-company-revenue-directory-scraper

⇱ GetLatka SaaS Company Revenue Directory Scraper Β· Apify


πŸ‘ GetLatka SaaS Company Revenue Directory Scraper avatar

GetLatka SaaS Company Revenue Directory Scraper

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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.

Pricing

Pay per event

Rating

0.0

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Developer

πŸ‘ BowTiedRaccoon

BowTiedRaccoon

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13 days ago

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

Input

FieldTypeDescriptionDefault
maxItemsintegerMaximum number of company profiles to scrape10

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 β€” Identify high-growth SaaS companies with verified ARR before investing
  • Sales intelligence β€” Build prospect lists filtered by revenue, team size, or industry
  • Competitive analysis β€” Compare revenue and growth trajectories across a market vertical
  • Market mapping β€” 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 β€” no login or subscription required.

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