# Pap.fr $1💰| URL Search | Keyword Filters | Rich Output (`abotapi/pap-fr-scraper`) Actor From $1/1k. Extract property listings from pap.fr. Get fully-detailed listings with price, address, rooms, area, photo gallery, description, and arrondissement/department/region geography. - **URL**: https://apify.com/abotapi/pap-fr-scraper.md - **Developed by:** [AbotAPI](https://apify.com/abotapi) (community) - **Categories:** Real estate, Developer tools, Automation - **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.00 / 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. 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 ## PAP.fr Scraper Extract property listings from pap.fr: *De Particulier à Particulier*, France's largest owner-to-owner real-estate platform. Get fully-detailed listings with price, address, rooms, area, photo gallery, description, and arrondissement/department/region geography. ### Why This Scraper? * **20+ fields per listing.** Price (numeric + formatted), rooms (pièces), living area, street address, postcode, city, arrondissement, department, region, full photo gallery, description, PAP reference number, and more. * **Two input modes.** Pick a French city and department code from the form, or paste any pap.fr search URL you already refined in your browser. * **Rich filter set.** Buy or rent, property type, minimum rooms (pièces), sort order — all passed straight to pap.fr so the results are exactly what the site would show. * **Auto pagination.** Walks every result page forward to the limit you set. * **Both Buy (Vente) and Rent (Location).** Apartments, houses, plots, parking, and commercial property. * **Owner-to-owner exclusive.** PAP forbids agent listings — every record is a private-owner listing you won't find on the agent-heavy aggregators. ### Data You Get | Field | Example | |---|---| | Title | `Vente appartement 3 pièces 57 m² Paris 18E` | | Price | `590 000` (numeric) + `590.000 €` (formatted) | | Rooms (pièces) | `3` | | Living area | `57 m²` | | Street address | `Rue Muller, 75018 Paris` | | Postcode | `75018` | | City | `Paris 18e` | | Arrondissement | `Paris 18e` | | Department | `Paris` | | Region | `Île-de-France` | | Reference | `G17/2664` (PAP internal reference) | | Latitude / Longitude | `48.8358`, `2.2899` (when `fetchDetails=true`) | | Energy class (DPE) | `A`–`G` (when `fetchDetails=true`) | | GHG class (GES) | `A`–`G` (when `fetchDetails=true`) | | Active status | `true` live / `false` delisted (when `fetchDetails=true`) | | Images | Full gallery, high-res URLs | | Description | Full seller description (when `fetchDetails=true`) | | Scraped at | ISO timestamp | ### How to Use #### Search by Location Enter a French city and its 2-digit department code. The scraper resolves the pap.fr geo-id automatically. ```json { "mode": "filter", "locations": [ { "city": "Paris", "department": "75" } ], "listingType": "Buy", "propertyType": "Apartment", "maxPages": 10 } ```` #### Search with Filters ```json { "mode": "filter", "locations": [{ "city": "Lyon", "department": "69" }], "listingType": "Rent", "propertyType": "Apartment", "roomsMin": 3, "sortBy": "PriceAsc", "maxPages": 10 } ``` #### Multiple Cities ```json { "mode": "filter", "locations": [ { "city": "Paris", "department": "75" }, { "city": "Lyon", "department": "69" }, { "city": "Marseille", "department": "13" }, { "city": "Bordeaux", "department": "33" }, { "city": "Nice", "department": "06" } ], "listingType": "Buy", "propertyType": "House", "maxPages": 5 } ``` #### Direct URLs with auto pagination Refine a search in your browser (including price / surface filters which aren't exposed in the form here), copy the URL, paste it here. If the URL ends with `-N` (page number), scraping starts from page N and walks forward. ```json { "mode": "url", "urls": [ "https://www.pap.fr/annonce/vente-appartements-paris-75-g439-3-pieces-tri-prix-asc" ], "maxPages": 20 } ``` ### Input Parameters | Parameter | Type | Default | Description | |---|---|---|---| | `mode` | string | `filter` | `filter` for city + department inputs, or `url` for direct URLs | | `locations` | array | Paris / 75 | City + 2-digit department pairs (Filter mode only) | | `urls` | string\[] | example URL | pap.fr search URLs (URL mode only); honors trailing `-N` as start page | | `listingType` | string | `Buy` | `Buy` (Vente) or `Rent` (Location) — Filter mode only | | `propertyType` | string | `Apartment` | `Apartment`, `House`, `Plot`, `Parking`, or `CommercialProperty` (Filter mode only) | | `roomsMin` | number | no limit | Minimum pièces (1–5, where 5 means 5+) — Filter mode only | | `sortBy` | string | `Default` | `Default`, `PriceAsc`, `PriceDesc`, `SurfaceAsc`, `SurfaceDesc`, `DateAsc` (Filter mode only) | | `maxPages` | number | `3` | Max pages per search | | `maxListings` | number | unlimited | Hard cap across the whole run | | `fetchDetails` | boolean | `false` | Visit each listing's detail page for full description + street address + reference + high-res photo gallery | | `proxy` | object | Apify RES + FR | Proxy config, French residential recommended | ### Output Example ```json { "id": "", "url": "", "listingType": "Buy", "propertyType": "Apartment", "title": "", "priceValue": 590000, "priceCurrency": "EUR", "priceDisplay": "590.000 €", "rooms": 3, "livingSpace": 57, "description": "", "streetAddress": "", "city": "", "postcode": "", "arrondissement": "", "department": "", "region": "", "latitude": 48.835767, "longitude": 2.289897, "energyClass": "D", "ghgClass": "D", "isActive": true, "reference": "", "imageCount": 18, "images": ["", ""], "additionalProperties": { "Type de bien": "Appartement", "Ascenseur": "Oui" }, "scrapedAt": "2026-04-22T10:00:00.000Z" } ``` ### Plan requirement This actor needs a residential proxy. Two options: - **Paid Apify plan** (Starter and above). Keep the default. EU residential is preferred; FR may have issues, so the default pins IT. - **Bring your own proxy** (any plan, including Free). Uncheck "Use Apify proxy" and paste your own residential URLs (Bright Data, Oxylabs, SmartProxy, IPRoyal, etc.). If the primary proxy is unavailable, the scraper auto-falls back to a managed backup pool. ### Common Department Codes | Code | Name | Biggest city | |---|---|---| | 75 | Paris | Paris | | 69 | Rhône | Lyon | | 13 | Bouches-du-Rhône | Marseille | | 33 | Gironde | Bordeaux | | 06 | Alpes-Maritimes | Nice | | 31 | Haute-Garonne | Toulouse | | 59 | Nord | Lille | | 44 | Loire-Atlantique | Nantes | | 67 | Bas-Rhin | Strasbourg | | 34 | Hérault | Montpellier | | 35 | Ille-et-Vilaine | Rennes | | 38 | Isère | Grenoble | ### About Built and maintained for reliable, cost-effective scraping of PAP.fr. Report any issues or ideas in the Apify Store listing. # Actor input Schema ## `mode` (type: `string`): Filter mode = pick property type + city + department. URL mode = paste any pap.fr search URL already refined in a browser (recommended for price/surface filters since pap.fr encodes those only after you've interacted with the search form). ## `locations` (type: `array`): Enter a French city name. The 2-digit department code is auto-derived from the city and is only required to disambiguate names shared by multiple communes (e.g. Saint-Denis exists in both 93 and 974). ## `listingType` (type: `string`): Pick Vente (Buy) or Location (Rent). Filter mode only. ## `propertyType` (type: `string`): What kind of property to search for. Filter mode only. ## `roomsMin` (type: `integer`): Minimum number of rooms (pièces). PAP encodes rooms as a URL path segment, so this is applied to the generated URL. Filter mode only. ## `sortBy` (type: `string`): How to order results. Filter mode only — in URL mode the sort is taken from your pasted URL. Default = most recent first (PAP's own default). ## `urls` (type: `array`): One or more full pap.fr search URLs. Tip: open pap.fr in your browser, pick property type + location + any price/surface filters, then paste the resulting URL here. If the URL ends with `-N` (page number), scraping starts at page N and walks forward. ## `maxPages` (type: `integer`): How many result pages to walk per location / URL. PAP returns 20 listings per page. ## `maxListings` (type: `integer`): Hard cap across the whole run. 0 = unlimited (bounded only by Max pages). ## `fetchDetails` (type: `boolean`): Adds lat/lng, DPE/GES energy classes, street address, full seller description, reference number, bedrooms, floor, HOA charges, property tax, heating type, and the full high-res photo gallery. Turn off for a faster run with just the SERP-level fields (price, rooms, m², city, primary photo). ## `proxy` (type: `object`): EU residential proxy is preferred. FR may have issues; default pins IT. ## Actor input object example ```json { "mode": "filter", "locations": [ { "city": "Paris" } ], "listingType": "Buy", "propertyType": "Apartment", "sortBy": "Default", "urls": [ "https://www.pap.fr/annonce/vente-appartements-paris-75-g439" ], "maxPages": 1, "maxListings": 0, "fetchDetails": true, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IT" } } ``` # 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 = { "locations": [ { "city": "Paris" } ], "urls": [ "https://www.pap.fr/annonce/vente-appartements-paris-75-g439" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IT" } }; // Run the Actor and wait for it to finish const run = await client.actor("abotapi/pap-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 = { "locations": [{ "city": "Paris" }], "urls": ["https://www.pap.fr/annonce/vente-appartements-paris-75-g439"], "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IT", }, } # Run the Actor and wait for it to finish run = client.actor("abotapi/pap-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 '{ "locations": [ { "city": "Paris" } ], "urls": [ "https://www.pap.fr/annonce/vente-appartements-paris-75-g439" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IT" } }' | apify call abotapi/pap-fr-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=abotapi/pap-fr-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pap.fr $1💰| URL Search | Keyword Filters | Rich Output", "description": "From $1/1k. Extract property listings from pap.fr. Get fully-detailed listings with price, address, rooms, area, photo gallery, description, and arrondissement/department/region geography.", "version": "1.0", "x-build-id": "qjaXPZj81eF9wrRdZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abotapi~pap-fr-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abotapi-pap-fr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/abotapi~pap-fr-scraper/runs": { "post": { "operationId": "runs-sync-abotapi-pap-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/abotapi~pap-fr-scraper/run-sync": { "post": { "operationId": "run-sync-abotapi-pap-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": { "mode": { "title": "1. Search mode", "enum": [ "filter", "url" ], "type": "string", "description": "Filter mode = pick property type + city + department. URL mode = paste any pap.fr search URL already refined in a browser (recommended for price/surface filters since pap.fr encodes those only after you've interacted with the search form).", "default": "filter" }, "locations": { "title": "Locations to search (Filter mode)", "type": "array", "description": "Enter a French city name. The 2-digit department code is auto-derived from the city and is only required to disambiguate names shared by multiple communes (e.g. Saint-Denis exists in both 93 and 974).", "items": { "type": "object", "properties": { "city": { "title": "City", "type": "string", "description": "French city name, e.g. Paris, Lyon, Marseille, Bordeaux, Nice, Toulouse.", "editor": "textfield" }, "department": { "title": "Department code (optional)", "type": "string", "description": "Optional. 2-digit French department code (département). Auto-derived from the city if left blank. Provide it only when the city name is shared by multiple communes (e.g. Saint-Denis: 93 vs 974, Saint-Pierre: 9 communes). Paris=75, Rhône=69, Bouches-du-Rhône=13, Gironde=33, Alpes-Maritimes=06, Haute-Garonne=31, Nord=59.", "editor": "textfield" } } } }, "listingType": { "title": "Buy or rent? (Filter mode)", "enum": [ "Buy", "Rent" ], "type": "string", "description": "Pick Vente (Buy) or Location (Rent). Filter mode only.", "default": "Buy" }, "propertyType": { "title": "Property type (Filter mode)", "enum": [ "Apartment", "House", "Plot", "Parking", "CommercialProperty" ], "type": "string", "description": "What kind of property to search for. Filter mode only.", "default": "Apartment" }, "roomsMin": { "title": "Min rooms / pièces (Filter mode)", "minimum": 1, "maximum": 10, "type": "integer", "description": "Minimum number of rooms (pièces). PAP encodes rooms as a URL path segment, so this is applied to the generated URL. Filter mode only." }, "sortBy": { "title": "Sort order (Filter mode)", "enum": [ "Default", "PriceAsc", "PriceDesc", "SurfaceAsc", "SurfaceDesc", "DateAsc" ], "type": "string", "description": "How to order results. Filter mode only — in URL mode the sort is taken from your pasted URL. Default = most recent first (PAP's own default).", "default": "Default" }, "urls": { "title": "Search URLs (URL mode)", "type": "array", "description": "One or more full pap.fr search URLs. Tip: open pap.fr in your browser, pick property type + location + any price/surface filters, then paste the resulting URL here. If the URL ends with `-N` (page number), scraping starts at page N and walks forward.", "items": { "type": "string" } }, "maxPages": { "title": "Max pages per search", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many result pages to walk per location / URL. PAP returns 20 listings per page.", "default": 1 }, "maxListings": { "title": "Max total listings", "minimum": 0, "type": "integer", "description": "Hard cap across the whole run. 0 = unlimited (bounded only by Max pages).", "default": 0 }, "fetchDetails": { "title": "Visit each listing's detail page", "type": "boolean", "description": "Adds lat/lng, DPE/GES energy classes, street address, full seller description, reference number, bedrooms, floor, HOA charges, property tax, heating type, and the full high-res photo gallery. Turn off for a faster run with just the SERP-level fields (price, rooms, m², city, primary photo).", "default": true }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "EU residential proxy is preferred. FR may have issues; default pins IT." } } }, "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 } } } } } } } } } } ```