# Apec Jobs Scraper - Low-costπŸ’²πŸ”₯πŸ”πŸ‡«πŸ‡· (`delectable_incubator/apec-jobs-scraper---low-cost`) Actor Scrape executive and managerial job listings from Apec.fr πŸ’ΌπŸ”Ž, France’s leading career platform. Extract job titles, companies, salaries, locations, and more from search URLs. Ideal for recruitment analytics, job market research, and automation with structured datasets πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/apec-jobs-scraper---low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Jobs Scraper - PrimeScrape

--- ### Apec Jobs Scraper πŸ’ΌπŸ”πŸ‡«πŸ‡·πŸ“Š The Apec Jobs Scraper is a fast, reliable, and scalable automation tool designed to extract structured job listing data directly from Apec.fr. It transforms raw job listings into clean, structured datasets ready for recruitment analytics, salary insights, market research, and data-driven applications. --- ### Apec Jobs Scraper πŸ’ΌπŸ“ŠπŸ‡«πŸ‡· This scraper automatically extracts structured job data from Apec based on search result URLs. Ideal for recruiters, analysts, HR tech platforms, and data professionals. --- ### 🎯 What This Scraper Does Simply provide an Apec search URL and the number of job listings to extract, and the scraper will automatically collect structured job data. βœ… Extracts job listings from Apec.fr βœ… Supports search result URLs βœ… Handles pagination automatically βœ… Respects maxitems limits βœ… Cleans and structures job data βœ… Captures salary, company, and metadata βœ… Includes geolocation when available βœ… Ready for analytics and integrations --- ### πŸ“Š Data Extracted πŸ’Ό Job Fields | Field | Description | | -------------------------------- | ------------------------------ | | πŸ†” `id` | Internal Apec job ID | | πŸ”’ `numeroOffre` | Public offer number | | 🏷 `intitule` | Job title | | 🏒 `nomCommercial` | Company name | | πŸ“ `lieuTexte` | Job location | | πŸ’° `salaireTexte` | Salary information | | πŸ“ `texteOffre` | Job description | | πŸ“… `datePublication` | Publication date | | 🌍 `latitude` / `longitude` | Job geolocation | | πŸ“„ `typeContrat` | Contract type (CDI, CDD, etc.) | | πŸ–Ό `urlLogo` | Company logo URL | | πŸ“Œ `localisable` | Has geolocation data | | πŸ”’ `offreConfidentielle` | Confidential job flag | | 🏭 `secteurActivite` | Industry sector | | 🧭 `origineCode` | Source/origin code | | πŸ“‰ `indicateurFaibleCandidature` | Low application indicator | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide an Apec search URL and max number of results: ```` { "url": \["https://www.apec.fr/candidat/recherche-emploi.html/emploi?fonctions=599782"], "maxitems": 100 } ``` 2️⃣ Run the Actor The scraper will: β€’ Open the search results page β€’ Automatically paginate results β€’ Extract job listings β€’ Collect salary, company, and metadata β€’ Structure and clean the dataset β€’ Stop when maxitems limit is reached 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "url": \["https://www.apec.fr/candidat/recherche-emploi.html/emploi?fonctions=599782"], "maxitems": 100 } ``` #### Input Fields | Field | Type | Description | | ---------- | ------- | ------------------------------------------------ | | `url` | string | Apec search results URL | | `maxitems` | integer | Maximum number of jobs to extract (≀100 default) | --- ### πŸ“€ Output Example ``` { "id": 176693674, "numeroOffre": "176693674W", "intitule": "Responsable de site administratif et ADV F/H", "nomCommercial": "MANPOWER FRANCE", "lieuTexte": "Ambert - 63", "salaireTexte": "35 - 42 k€ brut annuel", "texteOffre": "Job description...", "datePublication": "2025-07-21T08:33:33.000+0000", "latitude": "45.5556875", "longitude": "3.7568788", "localisable": true, "offreConfidentielle": false, "secteurActivite": 101312, "typeContrat": 101888, "origineCode": 101859, "indicateurFaibleCandidature": true, "urlLogo": "/media/logo.jpg" } ```` --- ### πŸ“Š Output explanation | Field | Description | | ----------------------------- | ------------------------- | | `id` | Job ID | | `numeroOffre` | Offer number | | `intitule` | Job title | | `nomCommercial` | Company | | `lieuTexte` | Location | | `salaireTexte` | Salary | | `texteOffre` | Description | | `datePublication` | Publication date | | `latitude` / `longitude` | Coordinates | | `typeContrat` | Contract type | | `urlLogo` | Logo | | `localisable` | Has geo data | | `offreConfidentielle` | Confidential flag | | `secteurActivite` | Sector | | `origineCode` | Source | | `indicateurFaibleCandidature` | Low application indicator | --- ### 🌍 Why Use This Scraper? πŸ“Š Hiring Trends β€” Analyze recruitment activity across France πŸ’° Salary Insights β€” Collect real-world compensation data πŸ† Competitive Analysis β€” Benchmark companies and roles πŸ”„ Automation β€” Schedule recurring job data extraction πŸ€– AI & Data β€” Build structured datasets for ML models ⚑ Scalable β€” Designed for high-volume scraping --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with or endorsed by Apec. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $0.99 / 1000 results --- ### Related Actors If you're interested in other Cooking scrapers, explore more scrapers (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `url` (type: `array`): Paste one or more Apec Jobs search URLs. ## `maxitems` (type: `integer`): Limits how many jobs will be scraped per URL. ## Actor input object example ```json { "url": [ "https://www.apec.fr/candidat/recherche-emploi.html/emploi?fonctions=599782&typesConvention=143684&typesConvention=143685&typesConvention=143686&typesConvention=143687&typesConvention=143706" ], "maxitems": 100 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "url": [ "https://www.apec.fr/candidat/recherche-emploi.html/emploi?fonctions=599782&typesConvention=143684&typesConvention=143685&typesConvention=143686&typesConvention=143687&typesConvention=143706" ], "maxitems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/apec-jobs-scraper---low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "url": ["https://www.apec.fr/candidat/recherche-emploi.html/emploi?fonctions=599782&typesConvention=143684&typesConvention=143685&typesConvention=143686&typesConvention=143687&typesConvention=143706"], "maxitems": 100, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/apec-jobs-scraper---low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "url": [ "https://www.apec.fr/candidat/recherche-emploi.html/emploi?fonctions=599782&typesConvention=143684&typesConvention=143685&typesConvention=143686&typesConvention=143687&typesConvention=143706" ], "maxitems": 100 }' | apify call delectable_incubator/apec-jobs-scraper---low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/apec-jobs-scraper---low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apec Jobs Scraper - Low-costπŸ’²πŸ”₯πŸ”πŸ‡«πŸ‡·", "description": "Scrape executive and managerial job listings from Apec.fr πŸ’ΌπŸ”Ž, France’s leading career platform. \n\nExtract job titles, companies, salaries, locations, and more from search URLs. \n\nIdeal for recruitment analytics, job market research, and automation with structured datasets πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "n6l1sXs6hbemraLoB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~apec-jobs-scraper---low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-apec-jobs-scraper---low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~apec-jobs-scraper---low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-apec-jobs-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~apec-jobs-scraper---low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-apec-jobs-scraper---low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "url" ], "properties": { "url": { "title": "Apec Jobs search URLs 🌍 / Coller les liens Apec", "type": "array", "description": "Paste one or more Apec Jobs search URLs.", "default": [ "https://www.apec.fr/candidat/recherche-emploi.html/emploi?fonctions=599782&typesConvention=143684&typesConvention=143685&typesConvention=143686&typesConvention=143687&typesConvention=143706" ], "items": { "type": "string" } }, "maxitems": { "title": "Maximum number of jobs to scrape πŸ”’/ SpΓ©cifier le nombre de jobs voulu", "type": "integer", "description": "Limits how many jobs will be scraped per URL.", "default": 100 } } }, "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 } } } } } } } } } } ```