Welcome to the Jungle — Company Scraper 🏢

Extract company firmographics from Welcome to the Jungle (WTTJ) — one of Europe's biggest employer-branding & jobs platforms — at scale, without an account or API key. Search and filter companies and export clean JSON, CSV or Excel: name, sector, size, employee count, offices (city, country, GPS), tech stack, open-jobs count and description.

Ideal for B2B lead generation, market research, sales prospecting and competitive intelligence across European (and global) companies.

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🔑 What this scraper does

• 🔎 Search companies by keyword — software, fintech, healthcare, or a company name.
• 🧭 Filter by country, sector or minimum employee count.
• 🏢 Firmographics — sector(s), size band, exact employee count, HQ and all offices with GPS.
• 🛠️ Tech stack — the technologies a company lists (backend, frontend, devops…) where published.
• 📊 Hiring signal — number of open jobs per company.
• 📝 Description & branding — company description, labels, logo and cover image.

No login, no cookies to paste, no API key. Enter a query, press start, export.

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📋 Example output

{
  "name": "Uxopian Software",
  "slug": "uxopian-software",
  "url": "https://www.welcometothejungle.com/en/companies/uxopian-software",
  "description": "Uxopian Software builds content-services and archiving solutions...",
  "size": "Between 15 and 50 employees",
  "employees": 45,
  "sectors": ["Software", "IT / Digital", "SaaS / Cloud Services"],
  "tools": [{ "backend": "Java" }, { "backend": "Spring-Boot" }, { "devops": "Docker" }],
  "offices": [{ "city": "Nantes", "district": "Nantes", "country": "France", "countryCode": "FR" }],
  "countries": ["FR"],
  "hqCity": "Nantes",
  "hqCountryCode": "FR",
  "lat": 47.2184,
  "lng": -1.5536,
  "openJobs": 3,
  "labels": [],
  "acceptsSpontaneousApplication": true,
  "hasTechPage": true,
  "logo": "https://cdn.welcometothejungle.com/...",
  "coverImage": "https://cdn.welcometothejungle.com/...",
  "objectID": "829771",
  "scrapedAt": "2026-09-11T10:00:00.000Z"
}

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🗂️ Fields you get

Field	Description
name, slug, url	Company name, handle and profile URL
description	Company description
size	Employee size band (e.g. "Between 15 and 50 employees")
employees	Exact employee count where available
sectors	Industry sectors
tools	Tech stack, grouped by category (backend/frontend/devops…) — where the company publishes a tech page
offices	All offices with city, district, country and country code
countries, hqCity, hqCountryCode	Country list and HQ location
lat, lng	HQ GPS coordinates
openJobs	Number of currently open jobs
labels	Employer labels/badges
acceptsSpontaneousApplication, hasTechPage	Extra company signals
logo, coverImage	Brand images
objectID, scrapedAt	Unique ID and scrape timestamp

Size, employees, sectors and GPS come on most companies; tech stack is present where a company publishes a tech page (a minority, but rich when present). Name, URL and open-jobs count come on every company.

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🚀 How to use

1. Click Try for free.
2. Enter a Search Query (e.g. software) and, optionally, Country Codes / Sectors / Min Employees.
3. Set Max Items and Max Pages, then click Start.
4. Export as JSON, CSV, Excel, HTML, RSS, or via the Apify API.

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📝 Example inputs

1. Companies by keyword

{ "searchQuery": "fintech", "maxItems": 300 }

2. Software companies in France & UK

{
  "searchQuery": "software",
  "countryCodes": ["FR", "GB"],
  "maxItems": 1000
}

3. Mid-size and larger companies

{
  "searchQuery": "healthcare",
  "minEmployees": 100,
  "maxItems": 500
}

4. All companies in a sector

{
  "searchQuery": "",
  "sectors": ["SaaS / Cloud Services"],
  "maxItems": 1000,
  "maxPages": 20
}

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💡 Popular use cases

🎯 B2B lead generation

Build targeted company lists by sector, size and country — with HQ location, employee count and open-jobs signal. Prioritise companies that are actively hiring (higher openJobs).

🛠️ Technographic prospecting

Filter and enrich by tech stack — find companies using a specific backend, frontend or devops technology for tools/dev-tool sales and competitive positioning.

📊 Market & competitive research

Map an industry: how many companies, what sizes, where they're based, and which technologies dominate. GPS coordinates let you map company density.

💼 Recruiting & employer intelligence

See which companies are hiring, how big they are, and what they build — sourcing intelligence for recruiters and talent teams.

🤖 AI, LLM & data products

Feed clean, structured company firmographics into your own models, CRMs, dashboards or data products.

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👥 Who uses this

• Sales & growth teams building B2B company lists by sector, size and geography.
• Dev-tool & SaaS vendors prospecting by tech stack.
• Market researchers & analysts mapping industries.
• Recruiters identifying hiring companies.
• Developers & AI builders who need firmographic data via API.

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🎛️ Filters & options

• Search Query — keyword or company name. Leave empty for all companies.
• Country Codes — keep companies with an office in these countries (ISO codes).
• Sectors — filter by sector name.
• Min Employees — minimum employee count.
• Max Items — cap total companies (0 = unlimited).
• Max Pages — pages to scrape (100 companies per page).

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❓ FAQ

Do I need a Welcome to the Jungle account or API key? No. Just enter a query and run — no login, no cookies, no key.

Do I get employee counts and company size? Yes, on most companies — both the size band (size) and an exact employees count where WTTJ has it.

Do I get the tech stack? Where a company publishes a tech page, yes — grouped by category (backend, frontend, devops…). Not every company has one; this is a WTTJ platform choice, not a scraper limit.

Can I filter by country or sector? Yes — use Country Codes and Sectors, and/or Min Employees.

Do I get GPS coordinates? Yes — HQ lat/lng, plus every office's city and country.

How many companies can I get? As many as the search returns, up to your maxItems and maxPages limits. Set maxItems: 0 for unlimited.

What export formats are supported? JSON, CSV, Excel, HTML table, RSS, and the Apify API. Connect to Make, Zapier, Google Sheets, Slack, webhooks or an MCP server.

Is the data structured and clean? Yes. Each company is a flat, typed JSON object, de-duplicated by ID.

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🔌 Integrations

• Export to JSON, CSV, Excel, HTML, RSS.
• Pull via the Apify API or client libraries (JavaScript, Python).
• Connect to Make, Zapier, Google Sheets, Slack, webhooks and more.
• Use from an MCP server in your AI agent / LLM workflow.
• Schedule recurring runs with the Apify Scheduler.

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⚖️ Legal & responsible use

This scraper collects publicly available company information only — the same data any visitor can see on Welcome to the Jungle without logging in. It does not access private messages, candidate data, or anything behind authentication.

You are responsible for how you use the collected data. Please:

• Respect Welcome to the Jungle's Terms of Service and all applicable laws (including the GDPR).
• Use any company data lawfully and only for legitimate purposes.
• Avoid excessive request rates and scrape responsibly.

This tool is provided for lawful purposes such as market research, lead generation and business intelligence. It is not affiliated with, endorsed by, or connected to Welcome to the Jungle.