# PAP Real Estate Scraper — Sale & Rental Listings (`apikiy/pap-scraper`) Actor Scrape property listings from [PAP.fr](https://www.pap.fr) (Particulier à Particulier) — France's leading peer-to-peer real estate platform. Extract properties - **URL**: https://apify.com/apikiy/pap-scraper.md - **Developed by:** [Julien ApiKiy](https://apify.com/apikiy) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## PAP.fr Real Estate Scraper Scrape property listings from [PAP.fr](https://www.pap.fr) (Particulier à Particulier) — France's leading peer-to-peer real estate platform. Extract properties for sale or rent with full details including price, area, rooms, images, and seller type. ### Features - **French Real Estate Data**: Access thousands of PAP.fr listings without agency fees - **Sale & Rental Support**: Search both vente (sale) and location (rental) listings - **Multi-Property Types**: Apartments, houses, land, commercial properties, buildings - **Rich Data Extraction**: Title, price, area, rooms, bedrooms, address, images, seller type, publication date, energy class - **Seller Detection**: Automatically identifies particulier (private) vs professionnel (agency) sellers - **Smart Filtering**: Price range, area range filters built-in - **Anti-Detection**: Random delays, user agent rotation, stealth scripts, session management - **Residential Proxy**: PAP.fr now blocks plain requests with a 403 — a residential proxy is used by default to get real results - **JSON-LD Extraction**: Uses structured data from detail pages for maximum reliability - **Infinite Scroll**: Handles PAP's dynamic content loading - **Duplicate Prevention**: Deduplicates listings across multiple search queries ### Use Cases - **Property market analysis** — aggregate pricing data across French cities - **Investment screening** — find properties matching specific criteria - **Market monitoring** — track new listings and price changes - **Competitive intelligence** — analyze seller types and market composition - **Lead generation** — identify private sellers vs agency listings ### Input | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `locations` | `string[]` | Yes | — | French locations to search (e.g., "Paris", "Lyon 69", "Bordeaux 33001") | | `propertyTypes` | `string[]` | No | `["appartement", "maison"]` | Property types: `appartement`, `maison`, `terrain`, `local-commercial`, `immeuble` | | `listingType` | `string` | No | `"vente"` | `"vente"` for sale, `"location"` for rental | | `minPrice` | `number` | No | `0` | Minimum price in euros (0 = no minimum) | | `maxPrice` | `number` | No | `0` | Maximum price in euros (0 = no maximum) | | `minArea` | `number` | No | `0` | Minimum surface area in m² | | `maxArea` | `number` | No | `0` | Maximum surface area in m² | | `maxResults` | `number` | No | `20` | Max results per location/type combination (1-200) | | `maxConcurrency` | `number` | No | `2` | Concurrent browser pages (1-10) | | `delayMin` | `number` | No | `2000` | Min delay between requests in ms | | `delayMax` | `number` | No | `5000` | Max delay between requests in ms | | `debugMode` | `boolean` | No | `false` | Enable verbose logging | ### Output Each listing includes: ```json { "title": "Vente appartement 2 pièces 40,86 m² Arpajon (91290)", "price": 154900, "area": 40.86, "rooms": 2, "bedrooms": 1, "address": "Rue Marcelle Gourmelon, 91290 Arpajon", "location": "Arpajon", "postalCode": "91290", "department": null, "propertyType": "apartment", "listingType": "sale", "url": "https://www.pap.fr/annonces/appartement-arpajon-91290-r463100431", "images": [ "https://cdn.pap.fr/photos/pap/c2/0e/c20ecaea1806e710aa355a5b930ce7ea/c-p1.jpg" ], "sellerType": "particulier", "publicationDate": "28 juin 2026", "description": "T2 à Arpajon, proche de toutes les commodités...", "energyClass": "C", "gesClass": null, "scrapedAt": "2026-07-04T12:00:00.000Z" } ```` ### Example Runs #### Sale apartments in Paris ```json { "locations": ["Paris 75"], "propertyTypes": ["appartement"], "listingType": "vente", "maxResults": 50 } ``` #### Rental houses in Lyon under 1500€ ```json { "locations": ["Lyon 69"], "propertyTypes": ["maison"], "listingType": "location", "maxPrice": 1500, "maxResults": 30 } ``` #### Multi-city land search ```json { "locations": ["Bordeaux 33", "Toulouse 31", "Nantes 44"], "propertyTypes": ["terrain"], "listingType": "vente", "minArea": 200, "maxResults": 20 } ``` ### Technical Details - **Base URL**: `https://www.pap.fr` - **URL Patterns**: - Sale: `/annonce/vente-{type}s-{location}-g{id}` - Rental: `/annonce/location-{type}s-{location}-g{id}` - Detail: `/annonces/{type}-{city}-{postal}-r{id}` - **Data Sources**: HTML parsing + JSON-LD structured data extraction - **Anti-Detection**: Navigator overrides, user agent rotation, randomized delays - **Residential Proxy**: used by default (`proxyConfiguration` input) since PAP.fr blocks plain requests with a 403 ### 💰 Pricing Pay-per-use, no monthly fees: | | Price | |---|---| | **Actor start** | $0.01 | | **Per result** | $0.01 | > 💡 Example: A run returning 500 results costs **$5.01** total ($0.01 start + 500 × $0.01). ### Development ```bash ## Install dependencies npm install ## Run tests npm test ## Run locally with Apify CLI apify call -i input.json ## Build Docker image docker build -t pap-scraper . ``` ### Keywords PAP, pap.fr, immobilier, particulier à particulier, French real estate, property scraper, sale, rental, apartments, houses, Playwright, Apify, scraper, France, property listing # Actor input Schema ## `locations` (type: `array`): French locations to search (city names, postal codes, or department codes). Examples: 'Paris', 'Lyon 69', 'Bordeaux 33', 'Marseille 13001' ## `propertyTypes` (type: `array`): Types of properties to search for ## `listingType` (type: `string`): Search for sale or rental listings ## `minPrice` (type: `integer`): Minimum price filter (0 = no minimum) ## `maxPrice` (type: `integer`): Maximum price filter (0 = no maximum) ## `minArea` (type: `number`): Minimum surface area in square meters ## `maxArea` (type: `number`): Maximum surface area in square meters ## `maxResults` (type: `integer`): Maximum number of listings to scrape per location ## `maxConcurrency` (type: `integer`): Maximum number of concurrent browser pages ## `delayMin` (type: `integer`): Minimum delay between requests in milliseconds ## `delayMax` (type: `integer`): Maximum delay between requests in milliseconds ## `proxyConfiguration` (type: `object`): PAP.fr now blocks plain (no-proxy) requests with a 403 — a residential proxy is required to get real results. ## `debugMode` (type: `boolean`): Enable verbose logging for troubleshooting ## Actor input object example ```json { "locations": [ "Paris" ], "propertyTypes": [ "appartement", "maison" ], "listingType": "vente", "minPrice": 0, "maxPrice": 0, "minArea": 0, "maxArea": 0, "maxResults": 20, "maxConcurrency": 2, "delayMin": 2000, "delayMax": 5000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "debugMode": false } ``` # 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 = { "locations": [ "Paris" ] }; // Run the Actor and wait for it to finish const run = await client.actor("apikiy/pap-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 = { "locations": ["Paris"] } # Run the Actor and wait for it to finish run = client.actor("apikiy/pap-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 '{ "locations": [ "Paris" ] }' | apify call apikiy/pap-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apikiy/pap-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PAP Real Estate Scraper — Sale & Rental Listings", "description": "Scrape property listings from [PAP.fr](https://www.pap.fr) (Particulier à Particulier) — France's leading peer-to-peer real estate platform. Extract properties", "version": "0.1", "x-build-id": "NU3IDBiygl1AW4AW3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apikiy~pap-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apikiy-pap-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apikiy~pap-scraper/runs": { "post": { "operationId": "runs-sync-apikiy-pap-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apikiy~pap-scraper/run-sync": { "post": { "operationId": "run-sync-apikiy-pap-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "locations": { "title": "Locations", "type": "array", "description": "French locations to search (city names, postal codes, or department codes). Examples: 'Paris', 'Lyon 69', 'Bordeaux 33', 'Marseille 13001'", "default": [ "Paris" ], "items": { "type": "string" } }, "propertyTypes": { "title": "Property Types", "type": "array", "description": "Types of properties to search for", "default": [ "appartement", "maison" ], "items": { "type": "string" } }, "listingType": { "title": "Listing Type", "enum": [ "vente", "location" ], "type": "string", "description": "Search for sale or rental listings", "default": "vente" }, "minPrice": { "title": "Min Price (€)", "minimum": 0, "type": "integer", "description": "Minimum price filter (0 = no minimum)", "default": 0 }, "maxPrice": { "title": "Max Price (€)", "minimum": 0, "type": "integer", "description": "Maximum price filter (0 = no maximum)", "default": 0 }, "minArea": { "title": "Min Area (m²)", "minimum": 0, "type": "number", "description": "Minimum surface area in square meters", "default": 0 }, "maxArea": { "title": "Max Area (m²)", "minimum": 0, "type": "number", "description": "Maximum surface area in square meters", "default": 0 }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of listings to scrape per location", "default": 20 }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of concurrent browser pages", "default": 2 }, "delayMin": { "title": "Min Delay (ms)", "minimum": 500, "maximum": 10000, "type": "integer", "description": "Minimum delay between requests in milliseconds", "default": 2000 }, "delayMax": { "title": "Max Delay (ms)", "minimum": 1000, "maximum": 15000, "type": "integer", "description": "Maximum delay between requests in milliseconds", "default": 5000 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "PAP.fr now blocks plain (no-proxy) requests with a 403 — a residential proxy is required to get real results.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "debugMode": { "title": "Debug Mode", "type": "boolean", "description": "Enable verbose logging for troubleshooting", "default": false } } }, "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 } } } } } } } } } } ```