Cadremploi Fr Jobs Extractor: High-Performance Job Listing Scraper for Cadremploi.fr

Cadremploi France jobs scraper is a high-performance, professional scraping tool designed to extract comprehensive job postings, executive roles, and career opportunities from Cadremploi.fr. Instead of manually copying details, this tool allows you to gather targeted job listings at scale by keywords and locations, and export the results directly into formats such as JSON, CSV, or Excel.

Key Features

• Multi-Keyword & Multi-Location Targeting: Supports separate list inputs for keywords and locations with smart automated matching.
• Smart Target Matching: Automatically pairs keywords and locations 1-to-1 if the input lists are of equal length, or executes a complete cross-combination (Cartesian product) if they differ.
• Optimized Pagination Routing: Built-in intelligent page routing ensures that pagination stops as soon as your requested item limit is met, saving time and resources.
• Advanced Request Distribution: Employs premium, browser-like header footprints and cloud-based routing networks to navigate anti-scraping systems and rate-limiting structures seamlessly out of the box.
• No Complex Setup: Designed to work instantly without requiring you to configure custom proxies or manage browser sessions.

Use Cases

• Talent Sourcing & Recruitment: Build comprehensive candidate pipelines for executive search and niche professional recruiting.
• Labor Market Intelligence: Track hiring trends, salary distributions, and active employment contracts (CDI, CDD, etc.) across French departments.
• Business Development & B2B Lead Gen: Identify rapidly expanding organizations and companies actively recruiting in specific sectors.
• Job Board Aggregation: Populate local, custom, or niche job boards automatically with fresh, high-quality career listings.

Input Parameters

Parameter	Type	Default	Description
keywords	array	["design", "développeur java"]	List of job titles, keywords, or skills to search for (one per line). Leave empty to search by location only.
locations	array	["nice-06", "paris"]	List of French cities, departments, or postal codes (one per line). Leave empty to search by keywords globally.
rayon	integer	100	Search radius around the specified location(s) in kilometers (e.g. 10, 50, 100). Applies only when locations are specified.
startUrls	array	[]	List of direct Cadremploi search listing URLs to scrape instead of using keywords and locations.
maxItemsPerQuery	integer	50	Maximum number of job listings to extract for each search combination or direct URL individually.
requestTimeoutSecs	integer	30	Per-request timeout limit in seconds for scraping operations.

How Target Matching Works

If both keywords and locations are supplied, the scraper uses smart logic to construct search paths:

1. 1-to-1 Matching: If you supply 2 keywords (["design", "developer"]) and 2 locations (["nice-06", "paris"]), the scraper pairs them index-by-index. It will search for design in nice-06, and developer in paris.
2. Cross-Combination (Cartesian Product): If the input lists have different lengths (e.g. 2 keywords and 1 location), it will search for every keyword across every location.

Example Input

{
    "keywords": [
        "design",
        "développeur java"
    ],
    "locations": [
        "nice-06",
        "paris"
    ],
    "rayon": 100,
    "maxItemsPerQuery": 50,
    "requestTimeoutSecs": 30
}

Extracted Data Schema

Each extracted job posting is saved with the following structured attributes:

Field	Type	Description
jobId	string	Unique identifier of the job posting on Cadremploi.
jobTitle	string	Full title of the job posting.
url	string	Direct link to the detailed job description page.
companyName	string	Name of the recruiting organization.
companyLogo	string	URL link to the company logo image.
badges	array	Badges associated with the post (e.g., Nouveau, Populaire).
location	string	Official location of the job.
contractType	string	Type of employment contract (CDI, CDD, Freelance, etc.).
salary	string	Offered salary package details (if specified).
jobSnippet	string	A short preview or snippet description of the role.
publicationDateText	string	Human-readable posting age (e.g., Publiée il y a 10 jours).
searchQuery	string	The keyword and location combination that generated the result.
scrapedAt	string	ISO 8601 timestamp of when the extraction was performed.

Sample Output Record

{
  "jobId": "156537911140995108",
  "jobTitle": "Développeur Java H/F",
  "url": "https://www.cadremploi.fr/emploi/detail_offre?offreId=156537911140995108",
  "companyName": "GROUPAGORA RÉGIONS",
  "companyLogo": "https://imagedelivery.net/BN-U87wrUjbdYBHZwNH6NA/03d36f4f-a233-4d3d-615a-aa00df796b00/logo100",
  "badges": [
    "Populaire"
  ],
  "location": "Nice",
  "contractType": "CDI",
  "salary": "45K€ - 50K€",
  "jobSnippet": "Dans le cadre du renforcement des équipes techniques de l'un de nos clients, nous recherchons un Développeur Java (H/F)...",
  "publicationDateText": "Publiée il y a 19 jours",
  "searchQuery": "design, nice-06",
  "scrapedAt": "2026-06-08T12:00:00.000Z"
}

How It Works

1. Target Generation: The extractor compiles your keywords and locations lists into optimized URLs. If direct start URLs are supplied, they are prioritized first.
2. Advanced Request Routing: The actor distributes requests through secure, anti-blocking cloud routes using optimized header profiles to guarantee reliable access.
3. BeautifulSoup Extraction: A high-efficiency HTML parser slices through the pages to retrieve raw text, contract types, company branding, and salary info.
4. Limit-Wise Pagination: The actor moves page by page for each target combination. It calculates remaining item quotas on the fly and immediately terminates pagination for that target when the user-defined limit is achieved.
5. Real-Time Storage: Successfully parsed postings are pushed directly to your Apify dataset in real-time.