# Welcome to the Jungle Jobs Scraper (`robertosan16/welcome-to-the-jungle-jobs-scraper`) Actor Scrape Welcome to the Jungle jobs in France, Europe, the UK and the US by keyword or company: title, company, salary, remote policy, skills, tools, description and apply link. Filters and alerts. - **URL**: https://apify.com/robertosan16/welcome-to-the-jungle-jobs-scraper.md - **Developed by:** [Robert Khairislamov](https://apify.com/robertosan16) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.50 / 1,000 jobs This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Welcome to the Jungle Jobs Scraper **Scrape Welcome to the Jungle jobs by keyword, country or company.** Get title, company, salary, remote policy, skills, tools, full description and apply link. Export to JSON, CSV or Excel, or use the API. **$0.50 per 1,000 jobs, no start fee.** Scrape jobs from **Welcome to the Jungle** (`welcometothejungle.com`), the job site of startups and tech companies in France, the UK, the US and the rest of Europe. Search by keywords with the site's filters (country, contract type, experience, remote policy, salary), or get all jobs of the companies you choose. Every job comes with the **salary as numbers**, **skills and tools**, experience and education level, the company's industry and size, the full description and the apply link. Welcome to the Jungle shows at most 100 jobs per search; this scraper splits big searches to **get many more**. Run it on a schedule to get **only new jobs**. No browser, no login. ### What can this Welcome to the Jungle scraper do? - 🔎 **Search like on the website**: keywords such as `product manager` or `développeur python`, one search per line, with the site's own filters. - 🎛️ **Filters**: countries, contract type (permanent, internship, apprenticeship / alternance, freelance, temporary / CDD, VIE), years of experience, remote policy (full remote, hybrid, occasional, none), minimum yearly salary and posting date. - 🏢 **All jobs of a company**: enter names like `doctolib` or `back-market`, or paste the company page link. - ♾️ **Beyond 100 results**: big searches are split by country, contract type and experience level, then merged without duplicates. - 💰 **Salary as numbers**: `min`, `max`, `currency` and `interval` (year, month, day). Obvious typos from employers are fixed: "45 per year" becomes 45,000. - 🧠 **Skills and tools** listed on each job, such as SQL, Python, Power BI or Figma, plus experience level, education level, contract length and start date. - 🏷️ **Company data**: industry, number of employees, short summary and logo. - 🆕 **Only new jobs since the last run**: for job alerts and market monitoring. - 🧩 **Same output as our other job scrapers**, listed at the end of this page, so jobs from company career sites and job boards fit into one table. ### What data does it extract? | Field | Example | |---|---| | `title` | Senior Data Analyst (H/F) | | `companyName` / `company` | Vroomly / vroomly | | `department` | Data / Business Intelligence | | `location` / `locations` | Paris, France | | `remote` / `workplaceType` | false / hybrid | | `employmentType` | full-time | | `salary` | `{ "min": 65000, "max": 75000, "currency": "EUR", "interval": "year" }` | | `skills` / `tools` | Data visualization / Metabase, DBT, Snowflake, SQL, Python | | `experienceLevel` / `educationLevel` | 4 to 5 years / Bac+5 (master) | | `companyIndustry` / `companySize` | Automotive, E-commerce, Digital / 123 | | `postedAt` / `updatedAt` | 2026-08-11T07:52:21.000Z | | `jobUrl` / `applyUrl` | https://www.welcometothejungle.com/en/companies/vroomly/jobs/… | | `descriptionText` / `descriptionHtml` | full job description with key missions and profile | ### How to scrape Welcome to the Jungle jobs 1. Enter **job titles or keywords**, one search per line, for example `data analyst`. Or enter **companies**, for example `doctolib`. 2. Optionally pick **countries** (`FR`, `GB`, `US`, `ES`, `DE`…), **contract types**, **experience**, **remote policy**, a **minimum salary** or a **date range**. 3. Click **Start**. Download the jobs as JSON, CSV, Excel or HTML, or get them through the API. #### Example input ```json { "searchQueries": ["data analyst", "product manager"], "countries": ["FR", "BE"], "contractTypes": ["full_time"], "remoteTypes": ["partial", "fulltime"], "minSalary": 45000, "postedWithinDays": 7 } ``` #### Example output ```json { "ats": "wttj", "company": "vroomly", "companyName": "Vroomly", "jobId": "1f754256-24f3-4f80-8597-64adf596a375", "requisitionId": "VROOM_eX2176K", "title": "Senior Data Analyst (H/F)", "department": "Data / Business Intelligence", "team": null, "location": "Paris, France", "locations": ["Paris, France"], "remote": false, "workplaceType": "hybrid", "employmentType": "full-time", "salary": { "min": 65000, "max": 75000, "currency": "EUR", "interval": "year", "text": "EUR 65,000–75,000 per year", "source": "listing" }, "postedAt": "2026-08-11T07:52:21.000Z", "updatedAt": "2026-09-24T16:36:35.727Z", "jobUrl": "https://www.welcometothejungle.com/en/companies/vroomly/jobs/senior-data-analyst-h-f_paris_VROOM_eX2176K", "applyUrl": "https://jobs.vroomly.com/jobs/7765649-senior-data-analyst-h-f", "descriptionText": "Tu rejoindras notre équipe data, en pleine structuration…", "descriptionHtml": "

Tu rejoindras notre équipe data…", "skills": ["Data visualization", "Problem-solving skills"], "tools": ["Metabase", "DBT", "Fivetran", "Snowflake", "SQL", "Python"], "experienceLevel": "4 to 5 years", "educationLevel": null, "contractDurationMonths": null, "startDate": null, "language": "fr", "companyIndustry": "Automotive, E-commerce, Digital", "companySize": 123, "companySummary": "Plateforme digitale pour connecter garagistes, clients et fournisseurs.", "companyLogoUrl": "https://cdn-images.welcometothejungle.com/…", "scrapedAt": "2026-09-25T07:32:43.783Z" } ``` ### Use cases - **Recruiting and staffing agencies**: see new roles at French and European startups every morning, by skill and city. - **Job alerts and niche job boards**: publish fresh startup jobs by keyword, contract type or remote policy. - **Sales and lead generation**: a company hiring data engineers or salespeople is growing and buying. Company size and industry are included. - **Salary research**: compare pay by role, city, experience and contract type in France and Europe. - **Internship and alternance boards**: collect internships and apprenticeships with their length and start date. - **Labor market analytics**: track demand for skills and tools such as SQL, Python or Figma over time. ### How much does it cost? You pay only for the jobs you get: **$0.50 per 1,000 jobs**. There is no start fee. Jobs filtered out by your settings are free. The Apify free plan covers about 10,000 jobs every month. ### Tips - **Daily job alerts**: save your input as a task, turn on **Only new jobs since the last run** and add a schedule. Send new jobs to Slack, email or Google Sheets with Apify integrations. - **Fast lists**: turn off **Load full job details** to skip the job pages. You still get title, company, location, contract, salary, dates and links. - **Big searches**: add countries. Each country is searched separately, so more jobs are found. - **Stricter results**: the site also matches similar titles. Use **Title must contain** to keep only jobs with your keyword in the title. - **Errors per search**: see the `SUMMARY` record in the run's key-value store. ### FAQ **Which countries are covered?** All countries with jobs on Welcome to the Jungle. Most jobs are in France, the US and the UK; there are also jobs in Spain, Germany, the Netherlands, Belgium and other countries. **Why do some jobs have no salary?** Companies decide whether to publish pay. When they do, it is saved as numbers; turn on **Only jobs with a salary** to keep only those jobs. **Does it collect personal data?** No. It saves job listings and company information, not names or contact details of recruiters or employees. **Is it legal to scrape Welcome to the Jungle?** The Actor reads the public job listings the site shows to every visitor. Job postings are public business information. Check the terms that apply to your use case. ### More job scrapers with the same output - [Greenhouse Jobs Scraper](https://apify.com/robertosan16/greenhouse-jobs-scraper): every job of any company on Greenhouse, with salary ranges - [Lever Jobs Scraper](https://apify.com/robertosan16/lever-jobs-scraper): every job of any company on Lever, including EU sites - [Ashby Jobs Scraper](https://apify.com/robertosan16/ashby-jobs-scraper): startup jobs from Ashby job boards, with compensation - [Workday Jobs Scraper](https://apify.com/robertosan16/workday-jobs-scraper): every job from any Workday career site, past the 2,000 search limit - [Dice Jobs Scraper](https://apify.com/robertosan16/dice-jobs-scraper): US tech jobs from Dice.com, with skills and salaries - [SEEK Jobs Scraper](https://apify.com/robertosan16/seek-jobs-scraper): jobs in Australia and New Zealand, with salaries as numbers - [StepStone Jobs Scraper](https://apify.com/robertosan16/stepstone-jobs-scraper): jobs in Germany, with benefits and English-language jobs Missing a field or a feature? Open an issue in the Issues tab and we will reply quickly. # Actor input Schema ## `searchQueries` (type: `array`): What to search, for example product manager or développeur python. Each line is a separate search with the filters below. ## `companies` (type: `array`): Companies whose jobs you want, all of them: the name from the company link, such as doctolib, or a link like https://www.welcometothejungle.com/en/companies/doctolib. The filters below apply too. ## `countries` (type: `array`): Two-letter country codes, for example FR, BE, ES, DE or GB. Leave empty for all countries. ## `contractTypes` (type: `array`): Leave empty for all. ## `experienceLevels` (type: `array`): Years of experience asked for. Leave empty for all. ## `remoteTypes` (type: `array`): Leave empty for all. ## `minSalary` (type: `integer`): Keep jobs whose salary reaches this amount per year, in the job's currency (usually EUR). Monthly pay counts twelve times. Jobs without a salary are left out. ## `postedWithinDays` (type: `integer`): Keep jobs published in the last N days: 1 means today and yesterday. Leave empty or 0 for any date. ## `excludeKeywords` (type: `array`): Skip jobs whose title contains any of these, for example intern or senior. Common word endings are included. ## `keywords` (type: `array`): Keep only jobs whose title contains any of these words or phrases. Welcome to the Jungle searches descriptions too, so this makes results stricter. Add * for any ending: data*. ## `onlyWithSalary` (type: `boolean`): Keep only jobs that state a pay range or rate. ## `onlyNew` (type: `boolean`): For scheduled runs: save only jobs that were not seen in earlier runs of the same saved task. The first run saves all current jobs and remembers them. Jobs that did not match your filters are remembered too. ## `includeDescription` (type: `boolean`): Open each job page for the full description (text and HTML), skills and expiry date. Turn off for fast results with a short summary instead. ## `maxItems` (type: `integer`): Stop after saving this many jobs. Leave empty or 0 for no limit. The example is kept small so the first run takes seconds. ## `maxItemsPerCompany` (type: `integer`): Save at most this many jobs from each search or company. Leave empty or 0 for no limit. ## `proxyConfiguration` (type: `object`): The Actor connects directly, which is fastest. If Welcome to the Jungle starts limiting requests, it switches to Apify Proxy automatically. Turn on a proxy here only to use it from the start. ## Actor input object example ```json { "searchQueries": [ "python developer" ], "onlyWithSalary": false, "onlyNew": false, "includeDescription": true, "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `jobs` (type: `string`): Job postings with title, company, locations, salary, dates, description and links. ## `summary` (type: `string`): Jobs found, matched and saved for each company, with errors. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "python developer" ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("robertosan16/welcome-to-the-jungle-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": ["python developer"], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("robertosan16/welcome-to-the-jungle-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "python developer" ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false } }' | apify call robertosan16/welcome-to-the-jungle-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,robertosan16/welcome-to-the-jungle-jobs-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/dqrYgGSWpQABGpxvb/builds/ml0EIcaE3jBzy0MUc/openapi.json