Qapa Scraper: No Login Temp Jobs France

Extract temporary (interim) and permanent job postings from Qapa, one of France's largest staffing platforms, by reading its own public search API directly: title, trade, hiring agency, location, mission dates, hourly wage and full description. No login, no browser.

At a glance

What you get	Temp and interim jobs from Qapa: title, trade, company, locality, department, mission dates, working days, positions needed, hourly wage.
Price	$2.00 per 1,000 postings: a 50-posting test run costs about $0.11, start fee included.
Speed	50 postings in about 30 seconds. No login, no proxy, no browser to configure.
Try it	Click Try for free: the form is already filled with keyword cariste.
Keep it fresh	Schedule it daily and keep only the new postings: see "Monitor new postings daily" below.

What you can do with it

• Monitor temp staffing demand: which trades, cities and regions are hiring right now in France.
• Benchmark interim hourly wages: hourlyWage (paid to the worker) and hourlyRateBilled (billed to the client) side by side, by trade and region.
• Feed a job alert or a job board: run it with a keyword filter (e.g. "cariste", "vendeur") and get only matching postings.
• Track a staffing agency's activity: every posting on Qapa is published by a named agency or its client, never an individual.

Input

Field	What it does
Keyword	Job title or trade, for example cariste or vendeur. Matched against the title, trade and description. Empty means every posting.
Location	City, postal code, department or region, for example Lyon or 69. Empty means all of France.
Maximum number of postings	The run stops once this many postings are saved.

Output

One record per posting:

{
  "id": 44745952,
  "url": "https://jobs.qapa.fr/offres-d-emploi/cariste-thiais/44745952",
  "title": "Cariste (H/F) - Thiais",
  "trade": "Cariste",
  "company": "QAPA Intérim",
  "description": "QAPA recrute pour le compte de son client, un Cariste CACES 1, CACES 3, 4, 5...",
  "locality": "Thiais",
  "postalCode": "94320",
  "department": "Val-de-Marne",
  "region": "Île-de-France",
  "startDate": "2026-10-26",
  "endDate": "2027-01-07",
  "workingDays": 61,
  "positionsNeeded": 1,
  "hourlyWage": 14.9,
  "totalWage": 5557.66,
  "hourlyRateBilled": 12.31,
  "status": "PUBLISHED",
  "publishedAt": "2026-08-27T13:01:39Z",
  "updatedAt": "2026-10-20T23:10:01Z"
}

Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

Three real results from the same run, side by side:

Title	Trade	Location	Hourly wage	Mission
Manutentionnaire (H/F) - Anglet	Manutentionnaire	Anglet (64)	€14.90/h	6 working days
Magasinier / Magasinière cariste (H/F) - Wissous	Magasinier / Magasinière cariste	Wissous (91)	€14.90/h	ongoing
Cariste (H/F) - Thiais	Cariste	Thiais (94)	€14.90/h	61 working days

Why this one

• No browser, no proxy. Qapa's own search API is read directly, so a 50-posting run finishes in a few seconds instead of minutes.
• Both sides of the wage. hourlyWage (what the temp worker is paid) and hourlyRateBilled (what the client is billed) are separate numeric fields, useful for benchmarking interim margins.
• Full mission details on the list, not a teaser. Qapa's listing already carries the full description, dates and wage, so there is no separate detail page to fetch.

Good to know

• Keyword and location filters are applied by the actor itself: Qapa's public API does not filter server-side, so this actor reads every page and matches locally.
• The dataset contains agency and mission data only. No individual recruiter or applicant is ever named.
• Qapa's robots.txt allows every path used here (User-agent: * / Disallow: is empty).

En français

Cet extracteur récupère les missions d'intérim et les offres publiées sur Qapa : intitulé, métier, entreprise, ville, département, dates de mission, jours travaillés, nombre de postes et taux horaire, en JSON, CSV ou Excel. Utile pour une agence d'intérim, un job board ou une alerte quotidienne par métier. Aucun compte ni proxy nécessaire.

Why this one

• No browser, no proxy. Qapa's own search API is read directly, so a 50-posting run finishes in a few seconds instead of minutes.
• Both sides of the wage. hourlyWage (what the temp worker is paid) and hourlyRateBilled (what the client is billed) are separate numeric fields, useful for benchmarking interim margins.
• Full mission details on the list, not a teaser. Qapa's listing already carries the full description, dates and wage, so there is no separate detail page to fetch.

Who uses it

• Recruiting agencies and HR teams watch which companies hire, for which roles and at which salary, in their market.
• Job boards and aggregators feed their own site with fresh postings in a stable schema, without maintaining a parser.
• B2B sales and lead generation: a company that is hiring is a company that is buying. Filter postings by role to spot prospects early.
• Labour-market research: salaries, skills in demand, remote share and hiring volume over time.

Pricing

Pay per result: $2.00 per 1,000 postings, plus $0.01 per run start with the default 4 GB of memory. For example, 100 postings cost about $0.21. You only pay for the postings you receive, and platform usage is included in that price. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/qapa-jobs-scraper').call({
  keyword: 'cariste',
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/qapa-jobs-scraper").call(run_input={
    "keyword": "cariste",
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new postings daily and connect your tools

1. Schedule it. Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Deduplicate on the id field if you keep your own copy. Tick Only new results in the input and each run returns, and charges, only the postings that earlier runs of the same search did not deliver.
2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy for Qapa? No. The actor reads publicly visible pages only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

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