# APEC.fr Scraper (`unfenced-group/apec-fr-scraper`) Actor
Scrape apec.fr for structured French executive job data: titles, companies, salaries, full descriptions & apply URLs. 100k+ listings. No API key required.
- **URL**: https://apify.com/unfenced-group/apec-fr-scraper.md
- **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community)
- **Categories:** Jobs, Developer tools, Automation
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## APEC.fr Scraper
Scrape **apec.fr** — France's leading executive and engineering job board — for structured job data: titles, companies, salaries, locations, full descriptions, and apply URLs. 100,000+ active listings across all French regions. No API key required.
---
### Why this scraper?
#### 🎯 Full structured output
Each listing returns title, company, location (city, department, region, GPS coordinates), salary range, contract type, remote work policy, and experience level — ready to import into your pipeline.
#### 📄 Three description formats
Every job description is delivered as HTML, plain text, and Markdown — use whichever format fits your downstream tool (LLM, CRM, spreadsheet, database).
#### 🔁 Repost detection
Cross-run deduplication (90-day memory) flags jobs reposted by the same employer so your alert pipelines stay noise-free.
#### ⚙️ Flexible filtering
Filter by keyword, location (city or region), contract type (CDI, CDD, Freelance/Mission, Stage/Alternance), experience level, remote work policy, and publication age (24h, 7 days, 30 days).
#### 🔗 Direct apply URLs
The `applyUrl` field contains the employer's application link when provided — no manual navigation required.
#### 📅 Incremental runs
Use `skipReposts` with a scheduled run to collect only new listings since your last scrape, keeping storage costs low.
---
### Input parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| `searchQuery` | String | `""` | Keyword(s) to search for, e.g. `"développeur React"` |
| `location` | String | `""` | City or region, e.g. `"Paris"`, `"Lyon"`, `"Bretagne"` |
| `contractTypes` | Array | `[]` | `CDI`, `CDD`, `Freelance/Mission`, `Stage/Alternance` |
| `experienceLevels` | Array | `[]` | `Débutant`, `1-5 ans`, `5-10 ans`, `10+ ans` |
| `remoteWork` | String | `""` | `Partiel` or `Full` |
| `daysOld` | Integer | — | Max publication age: `1`, `7`, or `30` days |
| `maxResults` | Integer | `200` | Maximum listings to return (up to 50,000) |
| `fetchDetails` | Boolean | `true` | Fetch full description and apply URL from each detail page |
| `skipReposts` | Boolean | `false` | Skip listings seen in previous runs (90-day TTL) |
| `startUrls` | Array | `[]` | Specific APEC offer URLs to scrape directly |
---
### Output schema
```json
{
"id": "178468168",
"numeroOffre": "178468168W",
"url": "https://www.apec.fr/candidat/recherche-emploi.html/emploi/offre-emploi/detail-offre/178468168W",
"title": "Développeur(euse) React / PHP - Senior F/H",
"company": "CTS Consulting Technical Support",
"isConfidential": false,
"logoUrl": "https://www.apec.fr/media_entreprise/472135/logo_CTS_472135.jpg",
"locationText": "Aix-en-Provence - 13",
"city": "Aix-en-Provence",
"department": "Bouches-du-Rhône",
"region": "Provence-Alpes-Côte d'Azur",
"country": "France",
"latitude": 43.5361176,
"longitude": 5.3985946,
"contractTypeId": 101888,
"remoteWorkId": 20765,
"isPartTime": false,
"numberOfPositions": 1,
"jobReference": "REF-2026-0412",
"salaryText": "A partir de 45 k€ brut annuel",
"salaryMin": 45000,
"salaryMax": null,
"salaryPeriod": "YEAR",
"currency": "EUR",
"description": "En tant que Développeur React / PHP...
",
"descriptionText": "En tant que Développeur React / PHP...",
"descriptionMarkdown": "En tant que Développeur React / PHP...",
"publishDate": "2026-04-04",
"publishDateISO": "2026-04-04",
"firstPublishDateISO": "2026-03-10",
"applyUrl": "https://example-employer.com/apply/12345",
"applicationMethod": "SITE_ENTREPRISE",
"contentHash": "a1b2c3d4e5f60011",
"summary": "Développeur(euse) React / PHP - Senior F/H — Aix-en-Provence - 13 (A partir de 45 k€ brut annuel)",
"source": "apec.fr",
"scrapedAt": "2026-04-04T15:30:00.000Z",
"isRepost": false,
"originalPublishDate": null,
"originalUrl": null
}
````
**Notes:**
- `contractTypeId` and `remoteWorkId` are APEC platform codes (integers). Human-readable labels can be derived from the filter reference table in the Technical details section.
- `salaryMin`/`salaryMax` are parsed from `salaryText` — `null` when the employer has not published salary information.
- `applyUrl` is `null` for applications processed directly through APEC (in-platform candidature).
- `firstPublishDateISO` tracks when the job was first ever published (useful for detecting reposts manually).
***
### Examples
**1. All CDI listings in Paris**
```json
{
"location": "Paris",
"contractTypes": ["CDI"],
"maxResults": 500
}
```
**2. Remote-friendly tech jobs published this week**
```json
{
"searchQuery": "développeur",
"remoteWork": "Full",
"daysOld": 7,
"maxResults": 100
}
```
**3. Daily alert — new senior finance listings in Lyon**
```json
{
"searchQuery": "finance",
"location": "Lyon",
"experienceLevels": ["5-10 ans", "10+ ans"],
"daysOld": 1,
"skipReposts": true,
"maxResults": 50
}
```
**4. Scrape specific offers by URL**
```json
{
"startUrls": [
{ "url": "https://www.apec.fr/candidat/recherche-emploi.html/emploi/offre-emploi/detail-offre/178468168W" }
]
}
```
**5. Large export — all stage/alternance listings in France**
```json
{
"contractTypes": ["Stage/Alternance"],
"fetchDetails": false,
"maxResults": 5000
}
```
***
### 💰 Pricing
**$1.50 per 1,000 results** — you only pay for successfully retrieved listings.
Failed retries and filtered reposts are never charged.
| Results | Cost |
|---|---|
| 100 | ~$0.15 |
| 1,000 | ~$1.50 |
| 10,000 | ~$15.00 |
| 100,000 | ~$150.00 |
> Flat-rate alternatives typically charge $29–$49/month regardless of usage.
> At 10,000 results/month, this scraper costs significantly less with no commitment.
Use the **Max results** cap in the input to control your spend exactly.
***
### Performance
| Run size | `fetchDetails` | Estimated time |
|---|---|---|
| 200 results | `true` | ~3–5 min |
| 1,000 results | `true` | ~12–18 min |
| 1,000 results | `false` | ~2–3 min |
| 10,000 results | `false` | ~15–20 min |
Performance depends on APEC server load. Runs with `fetchDetails: true` make one additional request per listing.
***
### Known limitations
- **Salary:** Not published by all employers — `salaryMin`/`salaryMax` will be `null` when not disclosed.
- **Apply URL:** `null` for listings that require in-platform candidature through APEC.
- **Confidential listings:** `company` is `null` when the employer marks the listing as confidential.
- **Location IDs:** `contractTypeId` and `remoteWorkId` are APEC-internal numeric codes, not human labels. The APEC platform does not expose a public mapping endpoint.
- **Stage listings:** The APEC platform serves a separate route for internship listings. Use `contractTypes: ["Stage/Alternance"]` to target these.
***
### Technical details
- **Source:** apec.fr — France's Association Pour l'Emploi des Cadres, covering 100,000+ executive and engineering job listings.
- **Memory:** 256 MB
- **Repost storage:** KeyValueStore `apec-fr-scraper-job-dedup`, 90-day TTL
- **Retry:** Automatic retry on network errors, exponential backoff, 3 attempts per request
***
### Additional services
Need a custom actor, additional filters, scheduled runs, or integration support?
Send an email to — we build on request.
***
*Built by [unfenced-group](https://apify.com/unfenced-group) · Issues? Open a ticket or send a message.*
# Actor input Schema
## `searchQuery` (type: `string`):
Keyword(s) to search for, e.g. "développeur React", "chef de projet". Leave empty to retrieve all listings.
## `location` (type: `string`):
City or region name to filter by, e.g. "Paris", "Lyon", "Bordeaux". Leave empty for all of France.
## `contractType` (type: `string`):
Filter by contract type. Leave empty for all types.
## `experienceLevel` (type: `string`):
Filter by required experience level. Leave empty for all levels.
## `remoteWork` (type: `string`):
Filter by remote work policy. Leave empty for all.
## `daysOld` (type: `string`):
Only return listings published within this period. Leave empty for all listings.
## `maxResults` (type: `integer`):
Maximum number of job listings to return.
## `fetchDetails` (type: `boolean`):
Fetch full job description and apply URL from each listing's detail page. Disabling speeds up runs but reduces output richness.
## `skipReposts` (type: `boolean`):
Skip listings already seen in previous runs (90-day memory). Useful for incremental daily/weekly runs.
## `startUrls` (type: `array`):
Optional list of specific APEC job posting URLs to scrape directly, bypassing the search.
## Actor input object example
```json
{
"searchQuery": "développeur",
"location": "Paris",
"contractType": "",
"experienceLevel": "",
"remoteWork": "",
"daysOld": "",
"maxResults": 200,
"fetchDetails": true,
"skipReposts": false,
"startUrls": []
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchQuery": "développeur",
"location": "Paris",
"contractType": "",
"experienceLevel": "",
"remoteWork": "",
"daysOld": "",
"maxResults": 200,
"startUrls": []
};
// Run the Actor and wait for it to finish
const run = await client.actor("unfenced-group/apec-fr-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchQuery": "développeur",
"location": "Paris",
"contractType": "",
"experienceLevel": "",
"remoteWork": "",
"daysOld": "",
"maxResults": 200,
"startUrls": [],
}
# Run the Actor and wait for it to finish
run = client.actor("unfenced-group/apec-fr-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchQuery": "développeur",
"location": "Paris",
"contractType": "",
"experienceLevel": "",
"remoteWork": "",
"daysOld": "",
"maxResults": 200,
"startUrls": []
}' |
apify call unfenced-group/apec-fr-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=unfenced-group/apec-fr-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "APEC.fr Scraper",
"description": "Scrape apec.fr for structured French executive job data: titles, companies, salaries, full descriptions & apply URLs. 100k+ listings. No API key required.",
"version": "0.0",
"x-build-id": "gAOhmWMDrcJz4x9if"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/unfenced-group~apec-fr-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-unfenced-group-apec-fr-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/unfenced-group~apec-fr-scraper/runs": {
"post": {
"operationId": "runs-sync-unfenced-group-apec-fr-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/unfenced-group~apec-fr-scraper/run-sync": {
"post": {
"operationId": "run-sync-unfenced-group-apec-fr-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"searchQuery": {
"title": "Search query",
"type": "string",
"description": "Keyword(s) to search for, e.g. \"développeur React\", \"chef de projet\". Leave empty to retrieve all listings.",
"default": ""
},
"location": {
"title": "Location",
"type": "string",
"description": "City or region name to filter by, e.g. \"Paris\", \"Lyon\", \"Bordeaux\". Leave empty for all of France.",
"default": ""
},
"contractType": {
"title": "Contract type",
"enum": [
"",
"CDI",
"CDD",
"Freelance/Mission",
"Stage/Alternance"
],
"type": "string",
"description": "Filter by contract type. Leave empty for all types.",
"default": ""
},
"experienceLevel": {
"title": "Experience level",
"enum": [
"",
"Débutant",
"1-5 ans",
"5-10 ans",
"10+ ans"
],
"type": "string",
"description": "Filter by required experience level. Leave empty for all levels.",
"default": ""
},
"remoteWork": {
"title": "Remote work",
"enum": [
"",
"Partiel",
"Full"
],
"type": "string",
"description": "Filter by remote work policy. Leave empty for all.",
"default": ""
},
"daysOld": {
"title": "Max age (days)",
"enum": [
"",
"1",
"7",
"30"
],
"type": "string",
"description": "Only return listings published within this period. Leave empty for all listings.",
"default": ""
},
"maxResults": {
"title": "Max results",
"minimum": 1,
"maximum": 50000,
"type": "integer",
"description": "Maximum number of job listings to return.",
"default": 200
},
"fetchDetails": {
"title": "Fetch detail pages",
"type": "boolean",
"description": "Fetch full job description and apply URL from each listing's detail page. Disabling speeds up runs but reduces output richness.",
"default": true
},
"skipReposts": {
"title": "Skip reposts",
"type": "boolean",
"description": "Skip listings already seen in previous runs (90-day memory). Useful for incremental daily/weekly runs.",
"default": false
},
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Optional list of specific APEC job posting URLs to scrape directly, bypassing the search.",
"default": [],
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```