Cadremploi Job Scraper
Pricing
from $1.50 / 1,000 results
Cadremploi Job Scraper
Scrape cadremploi.fr — French management and executive jobs. Salary ranges, apply links, and contact details where available.
Pricing
from $1.50 / 1,000 results
Rating
0.0
(0)
Developer
Black Falcon Data
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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What does Cadremploi Job Scraper do?
Cadremploi Job Scraper extracts structured job data from cadremploi.fr — including salary data, contact details, company metadata, and full descriptions. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company profiles, and contact information) where the source provides them, incremental monitoring that only returns new or changed results on recurring runs, and a compact output mode for AI-agent and MCP workflows.
What data can you extract from cadremploi.fr?
Each result includes Core listing fields (jobId, jobKey, title, location, salaryText, salaryMin, salaryMax, and salaryCurrency, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionLength, and detailFetched), contact and apply information (applyUrl, contactEmail, contactName, and extractedEmails), and company metadata (company and companyUrl). 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.
Enable detail enrichment in the input to get richer fields such as full descriptions, company profiles, and contact information where the source provides them.
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. Use JSON array for multi-query.country— Which cadremploi.fr market to search. (default:"FR")location— City, state, or region. Use JSON array for multi-location.startUrls— Direct search or job detail URLs.maxResults— Maximum total job listings to return (0 = unlimited). Runs use 1024 MB memory regardless of result count. (default:25)maxPages— Maximum SERP pages to scrape per search source. (default:5)includeDetails— Fetch each job's detail page for full description, salary data, and company info. (default:true)includeCompanyProfile— Fetch company overview pages for industry, headcount, and more. (default:false)descriptionMaxLength— Truncate description to this many characters. 0 = no truncation. (default:0)compact— Output only core fields (for AI-agent/MCP workflows). (default:false)incrementalMode— Compare against previous run state. Requires stateKey. (default:false)stateKey— Stable identifier for the tracked search universe (e.g. "us-software-nyc").- ...and 2 more parameters
Input example
{"query": "software engineer","country": "FR","maxResults": 5,"maxPages": 5,"includeDetails": true,"includeCompanyProfile": false,"descriptionMaxLength": 0,"compact": false,"incrementalMode": false,"emitUnchanged": false,"emitExpired": false}
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": "eb0d3d54160b5eeef9e9056637b37125a1d42a368eac6445568aad51ca4351a3","jobKey": "156523481627979752","title": "Commercial H/F","company": "SUBLICA","companyUrl": null,"location": "Paris, Ile-de-France, 75000","description": "<p>Dun contexte de croissance et de développement de sa Business Unit Vente Indirecte, FIPARC recrute un Commercial BtoB H/F.</p>\n<p> </p>\n<p>Poste et missions</p>\n<p><br />Rattaché au Directeur de la...","descriptionHtml": "<p><p>Dun contexte de croissance et de développement de sa Business Unit Vente Indirecte, FIPARC recrute un Commercial BtoB H/F.</p><br><p> </p><br><p>Poste et missions</p><br><p><br />Rattaché au Dir...","descriptionLength": 2268,"salaryText": "80000 - 100000 EUR","salaryMin": 80000,"salaryMax": 100000,"salaryCurrency": "EUR","salaryType": "YEAR","employmentType": "FULL_TIME","postedDate": "2026-03-22T23:00:00.000Z","validThrough": "2026-04-19T22:00:00.000Z","canonicalUrl": "https://cadremploi.fr/emploi/detail_offre?offreId=156523481627979752","applyUrl": "https://cadremploi.fr/emploi/detail_offre?offreId=156523481627979752","contactEmail": "apply+6a466df4-08c1-416e-b258-818a26e1eb8c@apply-cv.xtramile.io","contactName": null,"sourceUrl": "https://www.cadremploi.fr/emploi/detail_offre?offreId=156523481627979752","sourceCountry": "FR","sourceDomain": "www.cadremploi.fr","searchQuery": "commercial","searchUrl": "https://www.cadremploi.fr/emploi/liste_offres?motscles=commercial","isSponsored": false,"scrapedAt": "2026-03-31T21:52:52.029Z","fetchedAt": "2026-03-31T21:52:52.029Z","detailFetched": true,"contentQuality": "full","extractedEmails": [],"changeType": null,"trackedHash": null,"firstSeenAt": null,"lastSeenAt": null,"previousSeenAt": null,"expiredAt": null,"stateKey": null}
How to scrape cadremploi.fr
- Go to Cadremploi Job Scraper in Apify Console.
- Enter a search keyword and optional location filter.
- Set
maxResultsto control how many results you need. - Enable
includeDetailsif you need full descriptions, contact info, or company data. - Click Start and wait for the run to finish.
- Export the dataset as JSON, CSV, or Excel.
Use cases
- Extract job data from cadremploi.fr 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.
- Build outreach lists using contact details and apply URLs from listings.
- Research company hiring patterns, employer profiles, and industry distribution.
- 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 cadremploi.fr?
Cadremploi Job 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: $0.00005 per run
- Per result: $0.0015 per job record
Example costs:
- 10 results: $0.02
- 100 results: $0.15
- 500 results: $0.75
Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient.
FAQ
How many results can I get from cadremploi.fr?
The number of results depends on the search query and available listings on cadremploi.fr. Use the maxResults parameter to control how many results are returned per run.
Does Cadremploi Job 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 Cadremploi Job Scraper with other apps?
Yes. Cadremploi Job 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 Cadremploi Job 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 Cadremploi Job 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 cadremploi.fr?
This actor extracts publicly available data from cadremploi.fr. 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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