Welcome to the Jungle Scraper - Tech Jobs

What does Welcome to the Jungle Scraper do?

Welcome to the Jungle Scraper extracts structured job data from welcometothejungle.com — including salary data, company metadata, full descriptions, remote-work indicators, and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time.

Key features

• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

What data can you extract from welcometothejungle.com?

Each result includes Core listing fields (jobId, jobKey, wkReference, slug, title, url, portalUrl, and city, and more), detail fields when enrichment is enabled (description and benefits), and company metadata (companyName, companySlug, companyLogoUrl, and companyEmployeeCount). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords, e.g. "software engineer".
• language — WTTJ Algolia index language. Determines which market to search. (default: "fr")
• countryCode — Optional ISO 3166-1 alpha-2 country code to filter results, e.g. "FR", "DE", "GB".
• location — Optional city name to filter results, e.g. "Paris".
• maxResults — Maximum total results to return. 0 = unlimited. (default: 50)
• descriptionMaxLength — Truncate job description to N characters. 0 = no truncation. (default: 0)
• compact — Return core fields only (ideal for AI-agent / MCP workflows). (default: false)
• incrementalMode — Only emit new or changed jobs compared to the previous run. (default: false)
• stateKey — Stable identifier for the tracked universe. Required when incrementalMode is true.
• skipReposts — When enabled, suppress jobs that appear to be reposts of previously seen (and now expired) jobs based on content fingerprint matching. (default: false)

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "software engineer",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "software engineer",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "a18d157349003fc501aa66abe58260c2c8136047d6295dbe5eddfc4b1a77de5e",
  "jobKey": "327bc188-f5fe-4be7-968a-b409b4a54d19",
  "wkReference": "LATEL_WmgGYxA",
  "slug": "developpeur-node-js_paris",
  "title": "Développeur Node.js / AWS",
  "url": "https://www.welcometothejungle.com/fr/companies/l-atelier/jobs/developpeur-node-js_paris",
  "portalUrl": "https://www.welcometothejungle.com",
  "companyName": "L'Atelier",
  "companySlug": "l-atelier",
  "companyLogoUrl": "https://cdn-images.welcometothejungle.com/7tKdiU0GhEwmZYhRLbL_RC34CmwNF2ikuEgdcPi98YQ/rs:auto:400::/q:85/czM6Ly93dHRqLXByb2R1Y3Rpb24vdXBsb2Fkcy9vcmdhbml6YXRpb24vbG9nby85ODc3LzE1NjQ2Ni82YTZjY2I1Ny1mOWV...",
  "companyEmployeeCount": 16,
  "companyCreationYear": 2016,
  "companyDescription": null,
  "city": "Paris",
  "region": "Ile-de-France",
  "country": "France",
  "countryCode": "FR",
  "latitude": 48.86066,
  "longitude": 2.34253,
  "contractType": "full_time",
  "remote": "punctual",
  "hasRemote": true,
  "educationLevel": "bac_5",
  "experienceLevelMinimumYears": 2,
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "salaryPeriod": null,
  "salaryYearlyMin": null,
  "summary": "Rejoins notre équipe en tant que Développeur Node.js / AWS. Tu interviendras sur des projets variés, allant de l'ajout de fonctionnalités à la refonte complète d'applications web. Tu auras l'opportuni...",
  "description": "* Au moins 6 ans en développement backend Node.js\n    \n* Expérience significative sur TypeScript\n    \n* Une expérience significative sur AWS (au moins 2 ans avec une certification validée)\n    \n* Adep...",
  "keyMissions": [
    "Participer activement à la refonte d'applications web, au développement d'APIs et à l'architecture microservices.",
    "Mettre en place des pipelines d'intégration et de déploiement continu sur AWS, assurer le déploiement et la mise en production.",
    "Accompagner et former les nouveaux arrivants, partager vos connaissances et votre expertise avec l'équipe."
  ],
  "benefits": [
    "Entre 2-3 jours de télétravail",
    "RTT / Jour de repos",
    "Team building",
    "Afterworks, Déjeuners d'équipe, etc.",
    "Financement des certifications",
    "Mentorat",
    "Coaching",
    "Allocation sportive"
  ],
  "sectors": [
    {
      "name": "Logiciels",
      "parentName": "Tech"
    },
    {
      "name": "IT / Digital",
      "parentName": "Conseil / Audit"
    }
  ],
  "category": "Technologie et ingénierie",
  "subcategory": "Développement de logiciels et de sites Web",
  "profession": "Développeur full stack",
  "language": "fr",
  "postedDate": "2026-03-30T15:10:38Z",
  "scrapedAt": "2026-03-30T22:05:40.429Z",
  "source": "welcometothejungle.com",
  "changeType": null
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape welcometothejungle.com

1. Go to Welcome to the Jungle Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from welcometothejungle.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape welcometothejungle.com?

Welcome to the Jungle Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per result: $0.001 per job record

Example costs:

• 10 results: $0.01
• 100 results: $0.11
• 500 results: $0.51

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 200 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.21	$0.01	$0.19 (93%)	$0.45
15% — moderate broad query	$0.21	$0.03	$0.17 (83%)	$1.05
30% — high-volume aggregator	$0.21	$0.07	$0.14 (68%)	$1.95

Full re-scrape monthly cost at daily polling: $6.15. First month with incremental costs $0.64 / $1.22 / $2.09 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from welcometothejungle.com?

The number of results depends on the search query and available listings on welcometothejungle.com. Use the maxResults parameter to control how many results are returned per run.

Does Welcome to the Jungle Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Welcome to the Jungle Scraper with other apps?

Yes. Welcome to the Jungle Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Welcome to the Jungle Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Welcome to the Jungle Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape welcometothejungle.com?

This actor extracts publicly available data from welcometothejungle.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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