Welcome to the Jungle Jobs Scraper

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🔎 Welcome to the Jungle jobs scraper

Welcome to the Jungle Jobs Scraper extracts public job listings from Welcome to the Jungle and saves them as clean Apify dataset rows. Use this WTTJ jobs scraper to turn a search query, WTTJ search URL, direct job URL, or job filters into structured job data with titles, companies, locations, salaries, remote policy, contract type, descriptions, source URLs, and scrape timestamps.

Start with the prefilled data search and a small job limit. When the output looks right, add city or country filters, paste a WTTJ jobs URL you already built in the browser, or paste a direct WTTJ job URL for one-off extraction.

✅ What this WTTJ jobs scraper does

• Searches Welcome to the Jungle jobs by keyword.
• Accepts WTTJ /en/jobs and /fr/jobs search URLs plus direct WTTJ job URLs.
• Preserves filters from pasted WTTJ search URLs when possible.
• Supports English and French search pages.
• Filters by country code, city or location, remote policy, contract type, job category, experience, salary, and posted date when WTTJ exposes those values.
• Saves one dataset row per unique job listing.
• Extracts job identity, URL, title, company, locations, salary fields, contract type, remote policy, profession data, and source context.
• Includes useful source-backed job details and company profile fields automatically when WTTJ exposes them.
• Works with Apify exports, API clients, schedules, webhooks, and integrations.

This Actor focuses on public Welcome to the Jungle job listings. It does not log in, submit applications, scrape candidate data, contact companies, or create mixed company-only rows.

📦 What data you get

Each saved item is one job listing. Fields can be empty when Welcome to the Jungle does not show that value for a specific job.

• jobId, reference, objectId, and slug: WTTJ job identifiers.
• url and canonicalUrl: source job URLs.
• sourceLocale: locale used for the source page.
• title: job title.
• contractType and contractTypeLabel: source contract fields.
• remotePolicy: source remote-work value.
• publishedAt and language: posting date and language when available.
• experienceMin and educationLevel: source requirements when available.
• profession: category, profession name, and raw profession object.
• company: company name, slug, URL, logo, size, employee count, description, jobs count, and sectors when available.
• locations, primaryLocation, city, country, and countryCode: office and location data.
• salary: disclosed salary minimum, maximum, yearly minimum, currency, and period.
• descriptionText, descriptionHtml, profileText, recruitmentProcess, applyUrl, and benefits: source-backed detail fields when available.
• sourceSearchUrl, sourceInput, inputIndex, dedupeKey, contentHash, and scrapedAt: source and run metadata.

🧭 Common use cases

• Track hiring demand on Welcome to the Jungle by role, location, contract type, or remote policy.
• Build repeatable WTTJ job exports for recruiting research, market mapping, or job-board analysis.
• Monitor companies hiring for data, product, engineering, sales, marketing, finance, or HR roles.
• Compare disclosed salaries, contract types, and workplace policies across WTTJ searches.
• Feed job data into spreadsheets, dashboards, CRMs, warehouses, or API workflows.
• Schedule recurring runs and join jobs over time with stable WTTJ identifiers.

🚀 How to run it

For the easiest first run:

1. Keep Search query set to data.
2. Keep Job limit small, such as 10 or 25.
3. Run the Actor.
4. Open the dataset and export the rows as JSON, CSV, Excel, XML, RSS, or through the Apify API.

You can also paste one or more WTTJ jobs search URLs or direct job URLs into WTTJ URLs. Search URLs are useful when you already configured filters on Welcome to the Jungle and want the Actor to preserve those filters; direct job URLs are useful for one-off extraction.

🎛️ Input options

You do not need Welcome to the Jungle cookies, a login, a source API key, or a proxy setting.

🧾 Input examples

Search by keyword:

{
"query":"data",
"locale":"en",
"maxItems":25
}

Search from a WTTJ URL:

{
"searchUrls":[
{
"url":"https://www.welcometothejungle.com/en/jobs?query=data&page=1"
}
],
"maxItems":25
}

Extract a direct WTTJ job URL:

{
"searchUrls":[
{
"url":"https://www.welcometothejungle.com/en/companies/capgemini/jobs/data-base-administrator-dba-oracle_toulouse-occitanie-france_CAPGE_YxkAKq2"
}
],
"maxItems":1
}

Search with filters:

{
"query":"product manager",
"locale":"en",
"sortBy":"date",
"countryCodes":["FR"],
"locations":["Paris"],
"contractTypes":["full_time"],
"remotePolicies":["partial"],
"maxItems":50
}

📊 Output example

{
"jobId":"THALE_JDyobLb",
"reference":"THALE_JDyobLb",
"objectId":"4112610",
"slug":"manager-consultant-data-h-f_velizy_THALE_JDyobLb",
"url":"https://www.welcometothejungle.com/en/companies/thales/jobs/manager-consultant-data-h-f_velizy_THALE_JDyobLb",
"canonicalUrl":"https://www.welcometothejungle.com/en/companies/thales/jobs/manager-consultant-data-h-f_velizy_THALE_JDyobLb",
"sourceLocale":"en",
"title":"Manager Consultant Data (H/F)",
"contractType":"FULL_TIME",
"contractTypeLabel":"Full-Time",
"remotePolicy":"unknown",
"publishedAt":"2026-06-06T00:00:00.000+02:00",
"company":{
"name":"Thales",
"slug":"thales",
"url":"https://www.welcometothejungle.com/en/companies/thales",
"employeeCount":80000,
"size":"> 2,000 employees"
},
"primaryLocation":"Vélizy, Ile-de-France, France",
"countryCode":"FR",
"salary":{
"hasSalary":false,
"min":null,
"max":null,
"yearlyMinimum":null,
"currency":null,
"period":"none"
},
"sourceSearchUrl":"https://www.welcometothejungle.com/en/jobs?query=data",
"sourceInput":"data",
"dedupeKey":"THALE_JDyobLb",
"contentHash":"f924f3e7d1c6b8a4b9f0c1f26a6f2e3c8b57d2f91b8a3d44e99d7abcc0a6e118",
"scrapedAt":"2026-06-05T22:40:00.000Z"
}

💳 Pricing

This Actor uses pay-per-event pricing. You are charged for each saved job listing. Runs that find no matching jobs do not create job-listing charge events.

Current pay-per-saved-job pricing:

• $0.00085 per saved job listing on every Apify plan

⚠️ Limits and caveats

• Welcome to the Jungle may not expose every field for every job. Empty salary, profession, location, or detail fields are normal for some listings.
• Pasted WTTJ URLs are supported for jobs search pages and direct job pages. Company-only pages and application submission are outside this Actor's scope.
• The dataset contains job rows only. Invalid inputs and no-result targets are reported in logs, not as fake dataset rows.
• Duplicate jobs across overlapping searches are saved once.

❓ FAQ

🔗 Can I paste a Welcome to the Jungle URL?

Yes. Paste a WTTJ jobs URL from /en/jobs or /fr/jobs, or paste a direct WTTJ job URL, into WTTJ URLs. The Actor keeps search URL filters when possible.

🔐 Do I need a Welcome to the Jungle account?

No. This Actor extracts public job listings and does not ask for WTTJ cookies, login credentials, or a source API key.

📄 Can I get job descriptions?

Yes. The Actor includes source-backed description and profile fields automatically when Welcome to the Jungle exposes them for a job.

💰 Why are some salary fields empty?

Some jobs do not show a disclosed salary on Welcome to the Jungle. The Actor only saves salary values that the source exposes.

⏱️ Can I schedule this Actor?

Yes. Use Apify schedules for recurring runs and use reference, url, or dedupeKey to join jobs across exports.

📝 Changelog

• 0.1: Added direct WTTJ job URL input, newest-first sorting, richer source-backed job rows, stable content hashes, explicit canonical URLs, and lower flat pricing.
• 0.0: Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

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Made with ❤️ by Maxime Dupré