Pricing
$30.00/month + usage
Leboncoin.fr Scraper (API): Extract French classified ads for market research, price monitoring & competitive analysis. Location-based search, category filtering, business intelligence. Optimized for efficient data extraction across France. ⚡
2.0 (1)
Pricing
$30.00/month + usage
4
96
36
Issues response
29 days
Last modified
2 days ago
You can access the Leboncoin Scraper (API) Pro 🇫🇷 programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Takes precedence over query.", "items": { "type": "string" } }, "category": { "title": "Main Category", "enum": [ "0", "8", "1", "12", "71", "72", "18", "79", "14", "24", "2", "3", "4", "6", "9", "38" ], "type": "string", "description": "Category to search in", "default": "0" }, "location": { "title": "Location", "type": "string", "description": "Location to search in (e.g., 'Paris', 'Lyon 69', 'Strasbourg 67'). Leave empty to search all of France." }, "adLimit": { "title": "Ad Limit", "minimum": 10, "maximum": 10000, "type": "integer", "description": "Maximum number of ads to scrape (0 = unlimited, scrape all ads)", "default": 20 }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "time", "price" ], "type": "string", "description": "Sort ads by criteria", "default": "relevance" }, "radius": { "title": "Search Radius (km)", "minimum": 0, "maximum": 200, "type": "integer", "description": "Search radius in kilometers around the specified location", "default": 5 }, "price_min_filter": { "title": "Minimum Price (€)", "minimum": 0, "type": "integer", "description": "Minimum price filter in euros" }, "price_max_filter": { "title": "Maximum Price (€)", "minimum": 0, "type": "integer", "description": "Maximum price filter in euros" }, "search_in_title_only": { "title": "Search only in ad title", "type": "boolean", "description": "When enabled, search only in ad titles instead of full ad content", "default": false }, "seller_type": { "title": "Seller Type", "enum": [ "all", "pro", "private" ], "type": "string", "description": "Filter by seller type", "default": "all" }, "urgent": { "title": "Urgent ads only", "type": "boolean", "description": "Show only urgent ads", "default": false }, "donation": { "title": "Free ads only (Gratuit)", "type": "boolean", "description": "Show only donation/free ads", "default": false }, "shippable": { "title": "Include shippable items", "type": "boolean", "description": "Include items that can be shipped", "default": true }, "mode": { "title": "Mode", "enum": [ "standard", "monitor" ], "type": "string", "description": "Scraping mode - Standard: normal scraping, Monitor: only new ads since last run, Price Tracker: track price changes", "default": "standard" }, "category_id": { "title": "Category ID (use only if you want to search a specific subcategory, see https://apify.com/clearpath/leboncoin-api#input-parameters)", "pattern": "^[0-9]*$", "type": "string", "description": "Search within a specific subcategory (takes precedence over category)" }, "telegramUserId": { "title": "Telegram User ID", "type": "string", "description": "Optional: Your Telegram user ID for notifications (only used in monitor mode). Get it from @userinfobot" }, "telegramNotificationLimit": { "title": "Telegram Notification Limit", "minimum": 1, "maximum": 30, "type": "integer", "description": "Maximum number of Telegram notifications per run (prevents spam)", "default": 10 } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Leboncoin Scraper (API) Pro 🇫🇷 from the options below:
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