# Leboncoin Scraper 2026 (`devcake/leboncoin-scraper`) Actor Extract listings from Leboncoin: prices, descriptions, photos, seller info, location. Works for cars, motorcycles, furniture, electronics, real estate and more. - **URL**: https://apify.com/devcake/leboncoin-scraper.md - **Developed by:** [devcake](https://apify.com/devcake) (community) - **Categories:** E-commerce, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.20 / 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 ## Leboncoin Search Scraper 🇫🇷 Scrape listings from Leboncoin — France's #1 marketplace with 80+ categories. Search by keyword across everything, or browse specific categories by URL. > **Leboncoin.fr web scraper** — extract vehicle listings, electronics, furniture, real estate and more. JSON export with prices, photos, seller info and location data. --- ### What It Does Search Leboncoin by keyword or browse categories by URL. Collects listings with prices, descriptions, photos, seller info, and more. Export clean data from your dataset. --- ### Categories 🇫🇷 | Category | Description | |---|---| | 🚗 Cars | Used vehicles, automobiles | | 🏍️ Motorcycles | Scooters, bikes | | 🚐 RV / Camping | Campers, caravans | | ⛵ Boating | Boats, watercraft | | 🪑 Furniture | Home furnishings | | 💻 Electronics | Computers, phones, consoles | | 🏠 Real Estate | Sales and rentals | | 👕 Clothing & Shoes | Apparel, accessories | | ⚽ Sports & Outdoors | Equipment, bikes | | 📱 And many more | 80+ categories | --- ### Input Parameters | Parameter | Type | Description | |---|---|---| | **Search terms** | string[] | Keywords to search. Run multiple in parallel. | | **Category** | string | Filter to one category. Default: all. | | **Max listings** | integer | Stop after this many listings (40–5,000). | | **Scrape by URL** | boolean | Enable URL mode instead of keyword search. | | **Category URLs** | string[] | Browse specific category pages. | **Category filter examples:** `voitures`, `ameublement`, `telephones_objets_connectes`, `vetements`, `electromenager`, `bricolage`, `sport_plein_air`, `ventes_immobilieres`, `locations` --- ### Quick Start **Keyword search:** ```json { "queries": ["iphone 15", "samsung galaxy"], "category": "telephones_objets_connectes", "max_listings": 100 } ```` **Browse by URL:** ```json { "scrape_by_url": true, "urls": ["https://www.leboncoin.fr/c/voitures/"], "max_listings": 200 } ``` *** ### What You Get 📦 | Field | Description | |---|---| | 🆔 ID | Unique listing ID | | 🔗 URL | Direct link to the listing | | 📝 Title | Listing headline | | 📖 Description | Full text | | 💰 Price | Price in EUR | | 📍 Location | City and zip code | | 👤 Seller | Seller name and type | | 🖼️ Photos | Thumbnail + all images | | 📅 Posted | When the ad went live | | 🕐 Collected | When data was scraped | | 🏷️ Category | Leboncoin category | | 🔍 Query | Search term that found this listing | *** ### Who It's For 👥 - 🏪 **Sellers** — Monitor competitor prices across France - 🔍 **Researchers** — Analyze market trends and supply - 📦 **Traders** — Source inventory at scale - 💼 **Marketers** — Generate leads and prospect lists *** ### Example Output 📊 ```json { "id": "3847291034", "url": "https://www.leboncoin.fr/vehicule/3847291034.htm", "title": "Jeep Wrangler 2.0L Turbo 272ch Sahara 4x4", "description": "Full options, 45000km, garanti 12 mois...", "price": 38500, "currency": "EUR", "location": { "city": "Lyon", "zip": "69001" }, "seller": { "name": "Garage Dumas", "type": "professional" }, "photos": ["https://cdn.leboncoin.fr/img.ashx?uuid=abc123", "https://cdn.leboncoin.fr/img.ashx?uuid=def456"], "category": "voitures", "query": "wrangler", "posted_at": "2026-05-08T14:30:00Z", "collected_at": "2026-05-11T09:15:22Z" } ``` *** Made for Leboncoin marketplace scraping 🇫🇷 # Actor input Schema ## `category` (type: `string`): Filter by category. 'All' searches everything. ## `queries` (type: `array`): One or more search keywords. Example: wrangler, bmw 3, samsung. Used when Scrape by URL is off. ## `max_listings` (type: `integer`): Stop collecting after this many listings. Keep low for testing. ## `scrape_by_url` (type: `boolean`): When enabled, use category URLs instead of search terms. ## `urls` (type: `array`): Full Leboncoin category URLs. Examples: /c/ameublement/furniture\_type:armoire or /c/telephones\_objets\_connectes/. Used when Scrape by URL is on. ## Actor input object example ```json { "category": "all", "queries": [ "iphone" ], "max_listings": 40, "scrape_by_url": false, "urls": [ "" ] } ``` # Actor output Schema ## `dataset` (type: `string`): Complete scraped listing data (JSONL format) ## `overview` (type: `string`): Simplified view with key listing fields ## `summary` (type: `string`): Statistics: total listings, pages scraped, failures, runtime # 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 = { "queries": [ "iphone" ], "max_listings": 40, "urls": [ "" ] }; // Run the Actor and wait for it to finish const run = await client.actor("devcake/leboncoin-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 = { "queries": ["iphone"], "max_listings": 40, "urls": [""], } # Run the Actor and wait for it to finish run = client.actor("devcake/leboncoin-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 '{ "queries": [ "iphone" ], "max_listings": 40, "urls": [ "" ] }' | apify call devcake/leboncoin-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devcake/leboncoin-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Leboncoin Scraper 2026", "description": "Extract listings from Leboncoin: prices, descriptions, photos, seller info, location. Works for cars, motorcycles, furniture, electronics, real estate and more.", "version": "1.0", "x-build-id": "8BDTkioCLnxPxqWY1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devcake~leboncoin-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devcake-leboncoin-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/devcake~leboncoin-scraper/runs": { "post": { "operationId": "runs-sync-devcake-leboncoin-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/devcake~leboncoin-scraper/run-sync": { "post": { "operationId": "run-sync-devcake-leboncoin-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "category": { "title": "Category", "enum": [ "all", "voitures", "motos", "caravaning", "utilitaires", "nautisme", "equipement_auto", "vetements", "chaussures", "montres_bijoux", "ameublement", "electromenager", "bricolage", "ordinateurs", "telephones_objets_connectes", "consoles", "antiquites", "collection", "livres", "sport_plein_air", "velos", "equipement_bebe", "artistes_musiciens", "batiment", "ventes_immobilieres", "locations" ], "type": "string", "description": "Filter by category. 'All' searches everything.", "default": "all" }, "queries": { "title": "Search terms", "type": "array", "description": "One or more search keywords. Example: wrangler, bmw 3, samsung. Used when Scrape by URL is off.", "items": { "type": "string" } }, "max_listings": { "title": "Max listings", "minimum": 40, "maximum": 5000, "type": "integer", "description": "Stop collecting after this many listings. Keep low for testing." }, "scrape_by_url": { "title": "Scrape by URL", "type": "boolean", "description": "When enabled, use category URLs instead of search terms.", "default": false }, "urls": { "title": "Category URLs", "type": "array", "description": "Full Leboncoin category URLs. Examples: /c/ameublement/furniture_type:armoire or /c/telephones_objets_connectes/. Used when Scrape by URL is on.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```