Growjo Scraper — Company Revenue, Funding, Growth & B2B Leads

Turn Growjo into a B2B sales-intelligence database. Extract complete company profiles — estimated revenue, employee count & growth, valuation, total funding, lead investors, accelerator, industry, HQ, six growth rankings, rating, company email/phone, top competitors, recent news — and the decision-maker contacts attached to each company (name, title, and — when listed — email, LinkedIn and phone).

Scrape Growjo's fastest-growing companies, sweep its entire ~600,000-company database filtered by industry, revenue, headcount and country, or look up specific companies by name. No login, no API key, no browser — fast JSON extraction with a lead score on every company.

Why this Growjo scraper?

Growjo aggregates hard-to-find growth signals — revenue estimates, headcount trajectory, funding and rankings — that sales, marketing, recruiting and investment teams pay premium tools for. This actor ships the richest, cleanest export of that data, ready for your CRM.

Data	Typical company scrapers	This actor
Company name, domain, industry, HQ	✅	✅
Estimated annual revenue	❌	✅
Employee count + growth % (and history)	partial	✅
Valuation, total funding, lead investors, accelerator	❌	✅
Growjo growth rankings (overall, industry, state, country, city)	❌	✅
Company email & phone	❌	✅
Decision-maker contacts (name, title, email, LinkedIn, phone)	❌	✅
Top competitors (each with revenue, headcount, funding, growth)	❌	✅
Recent news / press mentions	❌	✅ opt-in
Lead score (0–100) per company	❌	✅
Monitor mode — only new / changed companies	❌	✅
Start / setup fee	often	❌ none

Use cases

• B2B lead generation — build targeted prospect lists of high-growth companies by industry, size, revenue and country, each with company contact details and named decision-makers scored 0–100 by leadScore.
• Sales intelligence & account research — enrich accounts with revenue, headcount trajectory, funding and tech-adjacent competitors before outreach.
• Recruiting — find fast-scaling companies that are hiring (with jobOpenings) and reach their leadership.
• Investor & market research — track the fastest-growing companies in a sector, their funding, valuation and growth rankings; watch a market over time with monitor mode.
• Competitive intelligence — pull any company's top competitors with side-by-side revenue, headcount, funding and growth.

How to use

1. Sign up for Apify — the free plan is enough to try this actor.
2. Open Growjo Scraper, keep Scrape the fastest-growing companies on (or add industries / company names / URLs), set Max companies, and click Start.
3. Watch company intelligence stream into the dataset table.
4. Export as JSON, CSV, Excel, or XML — or pull results programmatically via the Apify API.

Input

{
    "scrapeTopGrowing": true,
    "industries": ["Fintech", "Artificial Intelligence"],
    "companyNames": ["Stripe", "Databricks"],
    "maxCompanies": 200,
    "includeCompanyDetails": true,
    "includeContacts": true,
    "includeCompetitors": true,
    "minRevenue": 1000000,
    "minEmployees": 50,
    "country": "United States"
}

• scrapeTopGrowing (default true) — scrape the top of Growjo's fastest-growing ranking.
• scrapeAllCompanies — sweep the entire ~600,000-company database via Growjo's sitemap; combine with filters to build a large, targeted list.
• industries — keep only companies in these industries (Fintech, Artificial Intelligence, SaaS, Healthcare, Cybersecurity, …); setting this automatically sweeps the full database.
• companyNames — look up specific companies by name.
• startUrls — direct Growjo URLs (/company/Stripe, /).
• maxCompanies (default 100) — cap total companies. 0 = no limit (bounded by the run's time budget).
• includeCompanyDetails (default true) — fetch each full profile (revenue, funding, competitors, contacts, news). Off = fast, cheap list-level overview.
• includeContacts / includeCompetitors / includeNews — toggle the enrichment arrays on each record.
• minRevenue / minEmployees / country — keep only companies matching these thresholds.
• monitorMode (default false) — output only companies that are new or whose employees / revenue / funding changed since the last run. Perfect on a Schedule.

Output

One record per company (type: "company"), with embedded contact leads and competitors:

{
    "type": "company",
    "companyName": "Acme AI",
    "domain": "acme.ai",
    "website": "https://acme.ai",
    "growjoUrl": "https://growjo.com/company/Acme_AI",
    "linkedinUrl": "http://www.linkedin.com/company/acme-ai",
    "industry": "Artificial Intelligence",
    "foundedYear": 2021,
    "city": "San Francisco",
    "state": "CA",
    "country": "United States",
    "currentEmployees": 420,
    "lastEmployees": 180,
    "employeeGrowthPercent": 133.3,
    "jobOpenings": 37,
    "estimatedRevenue": 92000000,
    "valuation": 1500000000,
    "valuationAsOf": "March 2025",
    "totalFunding": "$310M",
    "leadInvestors": "Sequoia Capital, a16z",
    "accelerator": "Y Combinator",
    "growjoRanking": 128,
    "industryRanking": 14,
    "rating": 4.6,
    "companyEmail": "hello@acme.ai",
    "companyPhone": "+1 415 555 0100",
    "contactsCount": 8,
    "contacts": [
        { "name": "Jane Doe", "title": "CEO & Co-Founder", "email": "jane@acme.ai", "linkedin": "https://linkedin.com/in/janedoe", "phone": null, "source": "companyPeople" }
    ],
    "competitors": [
        { "companyName": "Globex AI", "domain": "globex.ai", "estimatedRevenue": 64000000, "currentEmployees": 300, "employeeGrowthPercent": 88.0, "totalFunding": "$150M" }
    ],
    "leadScore": 94,
    "source": "industry",
    "searchInput": "Artificial Intelligence",
    "scrapedAt": "2026-07-01T12:00:00.000Z"
}

Automate & schedule

Run this actor on autopilot and pull results into your own stack:

• Apify API — start runs, fetch datasets, and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run daily/weekly to watch a market; pair with monitorMode to output only new & changed companies.
• Webhooks — trigger downstream actions (CRM import, Slack alert, enrichment) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/growjo-scraper').call({
    industries: ['Fintech'],
    maxCompanies: 200,
    minRevenue: 5000000,
    includeContacts: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} company leads`);

Integrate with any app

Connect the dataset to 5,000+ apps — no code required:

• Make — multi-step automation scenarios.
• Zapier — push new company leads straight into your CRM.
• Slack — get notified when a monitored market gains a company.
• Google Drive / Sheets — auto-export every run to a spreadsheet.
• Airbyte — pipe results into your data warehouse.
• GitHub — trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. You can call this actor from Claude, ChatGPT, or any agent framework through the Apify MCP server — ask your assistant to "find fintech companies over $5M revenue growing 100%+ and list their CEOs" and let it run this scraper for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
• Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

More scrapers from scrapesage

Build a complete B2B sales-intelligence & company-research stack:

• LinkedIn Company Scraper — firmographics & B2B leads from LinkedIn.
• Kompass Scraper — global B2B company & supplier leads.
• Website Contact Scraper — emails, phones & socials from any list of domains.
• SEC EDGAR Scraper — filings, financials & company data.
• Y Combinator Scraper — YC companies, founders & jobs.
• Product Hunt Scraper — launches, makers & leads.
• LinkedIn Jobs Scraper — job postings as hiring-intent signals.
• ImportYeti Scraper — US import records, suppliers & B2B leads.

Tips

• Target a market: combine industries with minRevenue / minEmployees / country to build a clean, qualified prospect list.
• Cheap overview: turn off includeCompanyDetails for a fast, low-cost directory of names, revenue, employees, growth and funding (no per-company page fetch).
• Go deep: turn on scrapeAllCompanies with an industry / revenue / country filter to sweep Growjo's full ~600,000-company database and build a large targeted list; the run's time budget keeps it safe.
• Monitoring: combine a weekly Schedule with monitorMode to receive only companies that grew, raised, or newly appeared.

FAQ

Where does the data come from? Public Growjo company profiles and rankings. Revenue, employee and valuation figures are Growjo's estimates.

Do I need a Growjo account or API key? No. This actor reads public pages — no login, no key.

Can I get only companies that changed? Yes — turn on monitorMode and run on a Schedule. Each run outputs only companies that are new or whose employees / revenue / funding changed since the last run. It uses its own key-value store and does not interfere with the Apify scheduler.

Are the contact emails real? They are the contacts Growjo publishes on each company profile. Email/LinkedIn/phone are included only when Growjo lists them, so some contacts have a name and title only.

Can I export to Google Sheets, CSV, or Excel? Yes — one click in the dataset view, or automatically on every run via the Google Drive integration.

A field is null — why? Not every company profile lists every figure (revenue, valuation, funding, or contact details). Fields are null only when Growjo doesn't publish them, not because the scraper skipped them.

Is scraping Growjo legal? This actor collects publicly available data only. You are responsible for using the data in compliance with applicable laws (GDPR/CCPA for personal data) and Growjo's terms.

Need help?

Open an issue on the actor's Issues tab, or visit the Apify help center. Feature requests are welcome — this actor is actively maintained.