APEC Jobs Scraper

APEC Jobs Scraper is an Apify Actor for APEC.fr French executive (cadre) job searches. It accepts free-text keywords and structured filters for recency, salary band, contract type, remote-work policy, and experience level. Each returned record represents one APEC offer and can include the offer ID, public offer number, title, company, confidentiality flag, location, geo coordinates, salary text and parsed salary range, contract type, remote-work policy, description excerpt, published and validated timestamps, low-application flag, sector codes, and the public apply URL. Results are stored in an Apify dataset, so each output record is one job offer that you can read in Apify Console, through the Apify API, or via Apify MCP.

Best fit and connected workflows

Use this Actor when your workflow starts with APEC.fr executive roles and you need structured offer data for search, monitoring, enrichment, or agent-assisted triage.

Good fits include:

• French job search monitoring by keyword, salary, location, contract type, or publication date.
• Executive recruiting workflows that review the public offer URL together with a concise excerpt.
• Market research on French executive hiring by remote-work policy, sector, or publication date.
• AI and automation workflows that read current APEC offers through Apify MCP.

If your next workflow step moves to another board or region, these related Actors connect cleanly to adjacent research briefs:

• Use Ashby Jobs Scraper for workflows centered on Ashby-hosted roles and that board's offer structure when the next workflow needs that Actor's focused input and output contract.
• Use Bayt Jobs Data Scraper for MENA Listings for MENA listings and Bayt-specific sourcing when the next workflow needs that Actor's focused input and output contract.
• Built In Jobs Scraper - Hiring Intelligence Feed for Built In job markets and their listing format.

Practical scenario

Claire is a recruiter building a shortlist for French executive data roles. She starts with data scientist, sets sortBy to date_desc, filters to CDI, and limits the search to offers posted within 7 days. The returned records include the title, company, location, salary text, parsed salary bounds, remote-work policy, and public URL. Claire uses salaryMin, remoteWork, and publishedAt to decide which offers match her briefing, then opens the url field to review the public posting in a browser.

Input

Field	Type	Default	Notes
searchQuery	string	data scientist	French keyword(s) searched on APEC.fr. Searches title and description. Leave empty to browse all active offers.
maxResults	integer	50	Maximum number of job offers to return. APEC caps a single search at about 1000 results.
sortBy	string	date_desc	relevance, date_desc, or date_asc.
postedWithinDays	integer	-	Return only offers published within the last N days.
salaryMin	integer	-	Minimum annual gross salary in EUR.
salaryMax	integer	-	Maximum annual gross salary in EUR.
contractTypes	array	-	CDI, CDD, FREELANCE, STAGE, or ALTERNANCE.
remoteWork	array	-	FULL_REMOTE, HYBRID, OCCASIONAL, or NONE.
experienceLevel	array	-	JUNIOR, MID, SENIOR, or EXEC.
proxy	object	{"useApifyProxy":true}	Apify Proxy configuration. Default datacenter proxy is sufficient for APEC public webservices.

Focused input example

{
  "searchQuery": "développeur python",
  "maxResults": 25,
  "sortBy": "date_desc",
  "postedWithinDays": 7,
  "salaryMin": 50000,
  "contractTypes": ["CDI"],
  "remoteWork": ["FULL_REMOTE", "HYBRID"],
  "experienceLevel": ["MID", "SENIOR"]
}

Output

Results are stored in the default dataset, with one JSON record per APEC offer. The overview view highlights the fields most useful for screening: title, company, location, salary text, contract type, remote-work policy, publication date, and public URL. The output schema also exposes a run summary in key-value storage, which includes stats and a sample of the first three records.

Field	Type	Description
jobId	string	APEC numeric offer ID.
offerNumber	string	APEC public offer number used in the public URL.
title	string	Posted job title in French.
company	string | null	Commercial name of the hiring company.
isConfidential	boolean	True when APEC hides the hiring company name.
location	string | null	Free-text French location such as Paris 13 - 75.
latitude	number | null	Latitude when APEC provides coordinates.
longitude	number | null	Longitude when APEC provides coordinates.
salaryText	string | null	Salary range as written by the employer in French.
salaryMin	number | null	Parsed minimum annual gross salary in EUR.
salaryMax	number | null	Parsed maximum annual gross salary in EUR.
contractType	string | null	Mapped APEC contract code.
contractDurationMonths	number | null	Duration in months for fixed-term contracts.
remoteWork	string | null	Mapped APEC remote-work code.
descriptionExcerpt	string | null	First roughly 300 characters of the listing description.
publishedAt	string | null	Publication timestamp in ISO 8601 format.
validatedAt	string | null	Validation timestamp in ISO 8601 format.
lowApplicationCount	boolean | null	APEC flag for offers with few applications so far.
sectorCode	number | null	APEC internal sector ID.
sectorParentCode	number | null	Parent sector ID.
url	string	Public APEC URL for the offer.

Output example

{
  "jobId": "178908136",
  "offerNumber": "178908136W",
  "title": "Data Scientist",
  "company": "Exemple Conseil",
  "isConfidential": false,
  "location": "Paris 13 - 75",
  "latitude": 48.8306,
  "longitude": 2.3551,
  "salaryText": "45 - 49 kEUR brut annuel",
  "salaryMin": 45000,
  "salaryMax": 49000,
  "contractType": "CDI",
  "contractDurationMonths": 0,
  "remoteWork": "HYBRID",
  "descriptionExcerpt": "Entreprise en forte croissance recherche un data scientist pour renforcer ses analyses et contribuer a la priorisation des sujets produit.",
  "publishedAt": "2026-06-27T08:15:00.000Z",
  "validatedAt": "2026-06-27T09:02:00.000Z",
  "lowApplicationCount": true,
  "sectorCode": 12,
  "sectorParentCode": 1,
  "url": "https://www.apec.fr/candidat/recherche-emploi.html/emploi/detail-offre/178908136W"
}

How it works

This Actor uses APEC's public webservices endpoint over HTTP. It builds a search payload from your input, sends the request to APEC, paginates through the returned results, and normalizes each offer into a dataset record.

Implementation facts supplied with the Actor show:

• HTTP-only access.
• APEC public webservices endpoint usage.
• No Standby mode.
• Default memory of 512 MB.
• APEC search results include listing-level fields such as salary text, geo data, contract code, telework code, and dates.
• The public search response includes an excerpt of the job description, while the full offer text stays on the public offer page.

Pricing

This Actor uses Pay per event plus Apify platform usage. Charged events are:

• Actor start
• Job scraped

Job scraped is charged for each APEC offer returned in the dataset. For example, a run that returns fifty offers charges fifty Job scraped events plus one Actor start event. Open the live Pricing tab in Apify Console to review the current event pricing and Apify platform usage details.

Use with AI agents (MCP)

This Actor is usable through Apify MCP for agent workflows that need structured APEC job data.

Precise tool description: query APEC.fr executive offers with keyword and filter inputs, then read the resulting dataset records for title, company, salary, location, contract type, remote-work policy, publication date, and public URL.

Exact Actor identity: khadinakbar/apec-jobs-scraper

Find current APEC executive jobs for a French data team. Search for "data scientist", return the newest 20 offers, keep only CDI roles, and summarize the titles, companies, salary ranges, and public URLs.

Output interpretation:

• jobId and offerNumber identify each APEC offer.
• salaryText together with salaryMin and salaryMax supports compensation review.
• remoteWork and contractType group offers by policy.
• url points to the public APEC offer page.
• descriptionExcerpt provides a short triage summary from the search results.
• Results come from APEC listing data, so the dataset represents offer-level search output rather than a full detail-page crawl.
• Use maxResults to bound the number of returned offers.
• Use postedWithinDays and sortBy to narrow large searches.
• Cost scales with the number of returned Job scraped events, so recent-only searches with date_desc keep agent runs focused when the brief asks for fresh offers.

Apify API example

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: process.env.APIFY_TOKEN || 'YOUR_APIFY_TOKEN',
});

const run = await client.actor('khadinakbar/apec-jobs-scraper').call({
    searchQuery: 'directeur financier',
    maxResults: 10,
    sortBy: 'date_desc',
    postedWithinDays: 30,
    salaryMin: 80000,
    contractTypes: ['CDI'],
});

const dataset = await client.dataset(run.defaultDatasetId).listItems();
console.log(dataset.items);

Best results and outcome guidance

Use a focused search query when the role family is already known, and pair it with one or two filters to keep the dataset aligned with the brief. For monitoring, date_desc with postedWithinDays keeps recent offers at the top. For compensation analysis, combine salaryMin and salaryMax with contractTypes so the returned offers are easier to compare. For broad discovery, leave searchQuery empty and use maxResults to control how many offers are collected in one run.

Design note

I found that the dataset contract requires one record per offer, while the required fields are only jobId, offerNumber, title, and url. I also found that the overview view is built around title, company, location, salaryText, contractType, remoteWork, publishedAt, and url, which makes the listing data the center of this Actor.

FAQ

How is this Actor different from a generic job scraper?

This Actor is scoped to APEC.fr executive offers and exposes APEC-specific fields such as offerNumber, sectorCode, sectorParentCode, lowApplicationCount, and the APEC public URL format.

When should I use searchQuery versus postedWithinDays?

Use searchQuery for role or keyword targeting, and use postedWithinDays when you want a recent-only slice of APEC offers. The two work well together for monitoring.

Can I use this Actor for salary filtering?

Yes. The input includes salaryMin and salaryMax, and the output includes both raw salary text and parsed numeric salary bounds when APEC provides them.

Which Actor should I use for another job board?

If your brief matches another board or region, the related Actors above point to alternatives for Ashby, Bayt, and Built In. Each one fits a different sourcing workflow.

Responsible use

Use the data in line with APEC's terms and applicable data protection rules. The Actor works with publicly accessible APEC search data and returns listing-level information for search and analysis workflows.