Pricing

$3.00 / 1,000 job scrapeds

Welcome to the Jungle Scraper - EU Jobs & Salaries

Scrape Welcome to the Jungle jobs across Europe with salary range, contract type, remote policy, experience level, office location, sectors and full company details.

Pricing

$3.00 / 1,000 job scrapeds

Rating

0.0

(0)

Developer

Scrape Sage

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

What you get

One row per job, every row carrying the same fields:

Field	What it is
`title`, `jobUrl`, `jobId`, `slug`	The role and its canonical link
`organizationName`, `organizationUrl`, `organizationDescription`	The hiring company
`contractType`, `contractTypeName`	`FULL_TIME` plus the localised label (e.g. "CDI")
`salaryMin`, `salaryMax`, `salaryCurrency`, `salaryPeriod`, `salaryYearlyMin`	Published pay
`remote`, `isRemote`	`no` / `punctual` / `partial` / `fulltime`
`experienceLevelMin`, `educationLevel`	Seniority requirements
`city`, `district`, `state`, `country`, `countryCode`	Office location
`latitude`, `longitude`	Geo coordinates
`sectors`, `profession`, `department`	Industry and role classification
`publishedAt`	ISO 8601 timestamp
`profileText`	The role description

Filters

queries · countryCodes · contractTypes · remoteOnly · onlyWithSalary · minYearlySalary · language

Leave Search terms empty to take everything matching your filters — that's the fastest way to bulk-collect.

Example input

{
  "queries": ["developer"],
  "countryCodes": ["FR", "ES"],
  "remoteOnly": true,
  "onlyWithSalary": true,
  "maxResults": 500,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Example output

{
  "type": "job",
  "title": "Responsable Marketing (H/F)",
  "organizationName": "Additi",
  "organizationUrl": "https://www.welcometothejungle.com/fr/companies/additi",
  "contractType": "FULL_TIME",
  "contractTypeName": "Full-Time",
  "salaryCurrency": "EUR",
  "salaryMin": 40000,
  "salaryPeriod": "yearly",
  "experienceLevelMin": 5,
  "educationLevel": "BAC_5",
  "remote": "no",
  "city": "Rennes",
  "state": "Brittany",
  "country": "France",
  "sectors": ["IT / Digital", "Marketing / Communication"],
  "publishedAt": "2026-08-07T17:00:00.000Z"
}

Pricing

$0.003 per job. You are charged only for rows actually delivered. A search that matches nothing costs $0 and tells you why.

Honest limits

These are Welcome to the Jungle's own data gaps, measured on 100 raw records — not parser misses:

Salary is published on ~33% of listings. Use onlyWithSalary: true to keep just those. Never defaulted to 0, because that would quietly corrupt a salary benchmark.
experienceLevelMin ~53% · educationLevel ~40% · department ~14% · profession ~12% · company description ~60%.
Localised fields (sectors, contract labels, company description) come in five languages; pick one with language and the actor falls back sensibly when your choice is missing.

Tips

Empty queries + a country filter is the highest-yield setup — one run pulled 1,000 jobs in 67 seconds.
For comp benchmarking: onlyWithSalary: true and read salaryYearlyMin, which is normalised to a yearly figure regardless of how the employer quoted it.
Every job carries its company, so this doubles as a hiring-intent lead list for European startups — filter to a country and dedupe on organizationSlug.

Wellfound Scraper — US/global startup jobs with salary and equity
LinkedIn Jobs Scraper — filter-based, no login
Bayt Scraper — the same job across the Middle East and North Africa

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