APEC Jobs Scraper

What does APEC Jobs Scraper do?

APEC Jobs Scraper extracts job listings from APEC.fr, the reference job board for French executive, manager, and specialist roles. Enter a keyword and a city, or paste a prepared APEC search URL, and the actor collects structured job records with titles, companies, locations, salary text, publication dates, contract types, and application links. Extraction runs from the search results only, so each run is fast and returns up to 100 records in about ten seconds. Output is saved to an Apify dataset you can export as JSON, CSV, Excel, or XML, making it ready for hiring research, market analysis, monitoring, and AI workflows.

Why use APEC Jobs Scraper?

• Fast - Returns up to 100 listing records in about ten seconds.
• Resilient - Automatically rotates the browser profile, session, and proxy identity when an anti-bot challenge appears, so runs recover instead of failing.
• Flexible search inputs - Search by keyword, filter by city or region, or reuse an APEC search URL with your prepared filters.
• Rich listing records - Each record includes the published title, company, location, salary, publication dates, contract type, description snippet, and coordinates.
• Automation-ready output - Download results as JSON, CSV, Excel, XML, or connect them to Google Sheets, Make, Zapier, or your own systems.
• Duplicate-free results - Offers are deduplicated by APEC reference so repeated listings never create repeated records.

What data can you extract from APEC.fr?

Field	Description
title	Job title as published on APEC
company	Employer or advertiser name
company_logo_url	Absolute URL of the employer logo when published
location	Published job location text
salary	Salary text as shown by APEC
published_at	Main publication date
validated_at	Validation date when published
contract_type_id	Contract type identifier (CDI, CDD, interim)
description_text / description_html	Job description snippet from the search results
applyLink	Application URL
latitude / longitude	Job coordinates when available
url	Direct APEC job detail URL

How to use APEC Jobs Scraper

1. Open the Actor on Apify Store.
2. Enter a job keyword such as ingenieur logiciel or chef de projet.
3. Add a city or region such as Paris or Lyon when you need regional data.
4. Set the maximum number of jobs to collect with results_wanted.
5. Run the Actor, then download the dataset or connect it to your workflow.

You can also paste a prepared APEC search URL into startUrl and run without any keyword. The easiest run is a single keyword with default limits.

Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	Prefilled APEC search URL	Direct APEC search URL. Explicit keyword and location inputs override matching URL filters.
keyword	String	No	"ingenieur"	Job title, skill, or keyword to search.
location	String	No	None	City or region name, such as Paris or Lyon.
results_wanted	Integer	No	20	Maximum number of job records to collect.
max_pages	Integer	No	2	Maximum number of search result pages to process. Each page holds up to 100 records.
proxyConfiguration	Object	No	{ "useApifyProxy": true }	Apify Proxy settings. Enabled by default because APEC challenges direct and datacenter IPs; the Actor selects a working proxy group automatically.

Output Data

Each dataset item contains the fields available for that job. Empty values are removed. Every record is built directly from the search results and labeled source: "listing".

Field	Type	Description
id, numeroOffre	String	APEC job offer reference.
title, title_highlighted	String	Job title and highlighted variant.
company, company_logo_url	String	Employer name and absolute logo URL.
location	String	Published job location text.
salary	String	Salary text as shown by APEC.
published_at, validated_at	String	Publication and validation dates.
contract_type_id, contract_duration	Number	Contract type and duration.
sector_activity_id, sector_activity_parent_id	Number	Sector activity identifiers.
remote_work_id	Number	Remote work identifier when published.
description_html, description_text	String	Job description snippet from the search results.
applyLink	String	Application URL.
latitude, longitude	Number or String	Job coordinates when available.
is_confidential, is_direct_client, is_oqa_verified	Boolean	Offer quality and visibility flags.
is_low_candidature, is_localizable	Boolean	Candidate interest and location flags.
origin_code, relevance_score	Number	Source code and relevance score from search results.
url	String	Direct APEC job detail URL.
source	String	Always listing; records are built from search results.
api_listing	Object	Non-empty raw search listing metadata.
fetched_at	String	Extraction timestamp in UTC.

Usage Examples

Basic Search

Collect 20 engineering-related jobs with default pagination:

{
  "keyword": "ingenieur",
  "results_wanted": 20,
  "max_pages": 2
}

City Search

Collect project management jobs in Paris with a higher limit:

{
  "keyword": "chef de projet",
  "location": "Paris",
  "results_wanted": 30,
  "max_pages": 3
}

Search from a Prepared URL

Reuse an APEC search URL with filters already applied on the website:

{
  "startUrl": "https://www.apec.fr/candidat/recherche-emploi.html/emploi?motsCles=data",
  "results_wanted": 20,
  "max_pages": 2
}

Keyword and Location Search

Combine keyword and region filters for a focused dataset:

{
  "keyword": "ingenieur logiciel",
  "location": "Lyon",
  "results_wanted": 50,
  "max_pages": 1
}

Sample Output

{
  "id": "179529955W",
  "numeroOffre": "179529955W",
  "title": "Responsable d'études - dimensionnement traction F/H",
  "title_highlighted": "Responsable d'études - dimensionnement traction F/H",
  "company": "RATP",
  "location": "Fontenay-sous-Bois - 94",
  "salary": "40 - 50 k€ brut annuel",
  "published_at": "2026-10-05T10:56:55.000+0000",
  "validated_at": "2026-10-05T10:56:55.000+0000",
  "contract_type_id": 101888,
  "contract_duration": 0,
  "sector_activity_id": 101505,
  "sector_activity_parent_id": 101753,
  "remote_work_id": 20765,
  "description_text": "Vos journées en quelques mots ? Vous aurez principalement la charge de réaliser des études et apporter un soutien technique sur tous les sujets liés à l'énergie de traction ferroviaire...",
  "applyLink": "https://www.apec.fr/candidat/recherche-emploi.html/emploi/detail-offre/179529955W",
  "latitude": 48.8512054,
  "longitude": 2.4739928,
  "is_localizable": true,
  "is_confidential": false,
  "is_direct_client": true,
  "is_oqa_verified": true,
  "is_low_candidature": false,
  "origin_code": 101866,
  "relevance_score": 0.62506527,
  "url": "https://www.apec.fr/candidat/recherche-emploi.html/emploi/detail-offre/179529955W",
  "source": "listing",
  "fetched_at": "2026-10-05T12:22:02.105Z"
}

Tips for Best Results

• Use specific keywords - Search terms such as data engineer, responsable marketing, or chef de projet return cleaner, more relevant datasets than single broad words.
• Add a location for regional data - Combining keyword and location narrows results to the area you care about, such as Paris or Lyon.
• Start small, then scale - Keep results_wanted at 20 for a test run, then raise it once your query pattern is validated.
• Raise max_pages for larger pulls - Each page holds up to 100 records, so a higher results_wanted above 100 needs a matching page cap.
• Understand missing fields - Not every employer publishes every field on a listing. Empty values are removed to keep the dataset clean.
• Keep recurring runs comparable - Use the same keyword and location for scheduled reports so results stay consistent over time.
• Proxy is on by default - Apify Proxy is enabled by default because APEC challenges direct and datacenter IPs. When an anti-bot challenge appears the Actor rotates the browser profile, session, and proxy identity automatically instead of failing.

Integrations

• Google Sheets - Review and share job datasets with your team.
• Airtable - Build searchable recruiting databases.
• Make - Automate notifications and enrichment flows.
• Zapier - Trigger workflows from new records.
• Webhooks - Send output to your own systems.
• API - Access datasets programmatically from your applications.

Export Formats

• JSON - Best for development workflows.
• CSV - Best for spreadsheet analysis.
• Excel - Best for reporting.
• XML - Best for system interchange.

Frequently Asked Questions

Does APEC Jobs Scraper collect full job descriptions?

Each record includes the description text and HTML available from the search results. The actor extracts directly from search listings rather than opening individual job pages, which keeps runs fast and reliable.

Can I search APEC jobs by city or region?

Yes. Set the location input to a city or region such as Paris or Lyon, and the actor applies it to the search.

Can I use an APEC search URL directly?

Yes. Set startUrl to a prepared APEC search URL when you already have filters set up on the website. Explicit keyword and location inputs override matching URL filters.

How are duplicates handled?

Duplicate offers are skipped by APEC offer reference, so repeated listings never create repeated dataset records.

Why are some fields missing from a record?

Some employers do not publish every field in their listing. Empty values are removed to keep the dataset clean, and every record is labeled with source: "listing" because extraction runs from the search results.

Can I export the data to CSV or Excel?

Yes. Apify datasets can be downloaded as JSON, CSV, Excel, XML, and other supported formats.

Can I run this Actor on a schedule?

Yes. Use Apify schedules to run the actor hourly, daily, or weekly to monitor new French executive job postings.

Is it legal to scrape APEC.fr?

Scraping publicly available job data can be legal, but you are responsible for complying with applicable laws, website terms, and privacy rules in your jurisdiction.

Related Actors

• USA Jobs Scraper
• Workday Job Scraper
• Michaelpage Jobs Scraper

Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate data collection from publicly available sources. Users are responsible for using the data responsibly and complying with applicable laws and website terms.