# Leboncoin Profile & Reviews Scraper (`saswave/leboncoin-profile-reviews-scraper`) Actor $1 / 1000 results. Light weigth tool designed to extract deep intelligence from France's largest marketplace. Essential for market research, fraud detection, and competitive analysis within the French circular economy. It also helps small sellers keep track of their listings on the platform. - **URL**: https://apify.com/saswave/leboncoin-profile-reviews-scraper.md - **Developed by:** [SASWAVE](https://apify.com/saswave) (community) - **Categories:** Automation, E-commerce, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## 🛠️ Leboncoin Profile & Reviews Scraper Light weigth and high-precision tool designed to extract deep intelligence from France's largest marketplace. It goes beyond simple ad listings, providing a 360-degree view of a seller’s history, reliability, and current inventory. This tool is essential for market research, fraud detection, and competitive analysis within the French circular economy. It also helps small sellers keep track of their listings on the platform. ### 🔹 Features Deep Profile Analytics: Capture registration dates, response times (e.g., "Répond en 3 heures"), and account types (Private/Pro). Comprehensive Review Tracking: Extract both member-written reviews and system-generated "Automatic" feedback. Granular Performance Scores: Breakdown seller ratings by COMMUNICATION, PACKAGE, PRODUCT, and RECOMMENDATION. Active Inventory Export: Scrape all products currently being sold by a specific user, including full descriptions, pricing, and category IDs. Verification Status: Identify VerifiedPhoneNumber and VerifiedID badges to assess seller trustworthiness. Activity Segments: Monitor feedback specific to transaction types like Face-to-Face (f2f) or Purchase Bundles. ### 🔹 Use Cases Seller Vetting: Automatically verify the reputation of high-volume sellers before initiating large transactions. Market Trend Analysis: Track how quickly specific sellers move inventory and what categories they dominate. Customer Sentiment: Analyze textReview data to identify common pain points in French e-commerce logistics. Competitive Monitoring: Export entire catalogs of competing sellers to monitor pricing strategies and stock replenishment. Fraud Prevention: Flag profiles with high "Automatic" negative feedback or discrepancies between their advertised location and shipping history. ### Ouput example Product ```json { "list_id": 3182375162, "first_publication_date": "2026-04-19 14:29:17", "index_date": "2026-04-19 14:29:17", "status": "active", "category_id": "22", "category_name": "Vêtements", "subject": "Tunique rose neuf t L woman", "body": "tunique rose \n coton \n neuf \nt L woman", "brand": "leboncoin", "ad_type": "offer", "url": "https://www.leboncoin.fr/ad/vetements/3182375162", "price": [ 10 ], "price_cents": 1000, "owner": { "store_id": "5523655", "user_id": "4de4420e-448a-4f38-9b5e-7258e341b9d5", "type": "private", "name": "rage", "no_salesmen": true, "activity_sector": "" }, "options": { "has_option": false, "booster": false, "photosup": false, "urgent": false, "gallery": false, "sub_toplist": false, "continuous_top_ads": false, "highlight": false }, "has_phone": false, "similar": null, "counters": {}, "buyer_fee": { "amount": 99 }, "attributes": { "rating_score": "0.93", "rating_count": "721", "profile_picture_url": "https://img.leboncoin.fr/api/v1/tenants/9a6387a1-6259-4f2c-a887-7e67f23dd4cb/domains/20bda58f-d650-462e-a72a-a5a7ecf2bf88/buckets/21d2b0bc-e54c-4b64-a30b-89127b18b785/images/profile/pictures/default/5a798789-37bb-542f-b0a6-0d5c7cfec360?rule=pp-small", "estimated_parcel_weight": "327", "estimated_parcel_size": "S", "is_bundleable": "true", "purchase_cta_visible": "true", "negotiation_cta_visible": "true", "country_isocode3166": "FR", "clothing_type": "1", "clothing_st": "5", "clothing_category": "haut", "clothing_color": "rose", "shipping_type": "mondial_relay", "shippable": "true", "is_import": "false" }, "country_id": "FR", "region_id": "22", "region_name": "Rhône-Alpes", "department_id": "69", "department_name": "Rhône", "city_label": "Belleville-en-Beaujolais 69220", "city": "Belleville-en-Beaujolais", "zipcode": "69220", "lat": 46.1114, "lng": 4.73455, "source": "city", "provider": "here", "is_shape": true, "images": [ "https://img.leboncoin.fr/api/v1/lbcpb1/images/04/e1/f2/04e1f276fcdac09b83da1a3b77e1a9b99aa515c9.jpg?rule=ad-image" ], "nb_images": 1, "thumb_image": "https://img.leboncoin.fr/api/v1/lbcpb1/images/04/e1/f2/04e1f276fcdac09b83da1a3b77e1a9b99aa515c9.jpg?rule=ad-thumb" } ```` Profile Infos ```json { "name": "rage", "registered_at": "2014-06-26", "location": "Rhône", "feedback": { "overall_score": 0.93, "category_scores": { "COMMUNICATION": 0.9, "PACKAGE": 0.9, "PRODUCT": 0.9, "RECOMMENDATION": 0.88, "USER_ATTENTION": 0.85 }, "segment_scores": { "leboncoin-f2f": 0.2, "leboncoin-generalist": 0.89, "leboncoin-purchasebundle": 0.77 }, "segment_counts": { "leboncoin-f2f": 1, "leboncoin-generalist": 426, "leboncoin-purchasebundle": 6 }, "received_count": 721 }, "reply": { "in_minutes": 180, "text": "Répond en moyenne en 3 heures", "rate_text": "Répond à 100 % des messages", "rate": 100, "reply_time_text": "3 heures" }, "presence": { "status": "OFFLINE", "enabled": false }, "profile_picture": { "is_default": true, "default": true, "small_url": "https://img.leboncoin.fr/api/v1/tenants/9a6387a1-6259-4f2c-a887-7e67f23dd4cb/domains/20bda58f-d650-462e-a72a-a5a7ecf2bf88/buckets/21d2b0bc-e54c-4b64-a30b-89127b18b785/images/profile/pictures/default/5a798789-37bb-542f-b0a6-0d5c7cfec360?rule=pp-small", "medium_url": "https://img.leboncoin.fr/api/v1/tenants/9a6387a1-6259-4f2c-a887-7e67f23dd4cb/domains/20bda58f-d650-462e-a72a-a5a7ecf2bf88/buckets/21d2b0bc-e54c-4b64-a30b-89127b18b785/images/profile/pictures/default/5a798789-37bb-542f-b0a6-0d5c7cfec360?rule=pp-medium", "large_url": "https://img.leboncoin.fr/api/v1/tenants/9a6387a1-6259-4f2c-a887-7e67f23dd4cb/domains/20bda58f-d650-462e-a72a-a5a7ecf2bf88/buckets/21d2b0bc-e54c-4b64-a30b-89127b18b785/images/profile/pictures/default/5a798789-37bb-542f-b0a6-0d5c7cfec360?rule=pp-large", "extra_large_url": "https://img.leboncoin.fr/api/v1/tenants/9a6387a1-6259-4f2c-a887-7e67f23dd4cb/domains/20bda58f-d650-462e-a72a-a5a7ecf2bf88/buckets/21d2b0bc-e54c-4b64-a30b-89127b18b785/images/profile/pictures/default/5a798789-37bb-542f-b0a6-0d5c7cfec360?rule=pp-extra-large" }, "badges": [ { "type": "global", "name": "LeBonVendeur" }, { "type": "global", "name": "Responsiveness2" }, { "type": "global", "name": "VerifiedPhoneNumberAndVerifiedID" } ], "total_ads": 27044, "store_id": 5523655, "account_type": "private", "user_id": "4de4420e-448a-4f38-9b5e-7258e341b9d5", "description": "" } ``` Profile stat reviews ```json { "seller_id": "4de4420e-448a-4f38-9b5e-7258e341b9d5", "overallScore": 0.93, "receivedCount": 721, "memberFeedbackWithTextReviewCount": 219, "sellerFeedbackCount": 0, "buyerFeedbackCount": 721, "categoryScores": { "PACKAGE": 0.9, "PRODUCT": 0.9, "COMMUNICATION": 0.9, "RECOMMENDATION": 0.88, "USER_ATTENTION": 0.85 }, "segmentScores": { "leboncoin-f2f": 0.2, "leboncoin-generalist": 0.89, "leboncoin-purchasebundle": 0.77 }, "segmentCounts": { "leboncoin-f2f": 1, "leboncoin-generalist": 426, "leboncoin-purchasebundle": 6 }, "sourceScores": { "MEMBER": 0.89, "AUTOMATIC": 1.0 }, "sourceCounts": { "MEMBER": 433, "AUTOMATIC": 288 } } ``` Profile reviews ```json { "name": "Philippe", "isProfessional": false, "avatarUrl": null, "localProfileId": null, "verified": false, "overallScore": 0.98, "numberOfReceivedFeedbacks": 37, "role": "BUYER", "feedback": { "tradeId": 127076478, "feedbackId": 248880544, "ownerId": "sdrn:leboncoin:user:9f279b67-d21c-4cdd-beee-2be8535093ed", "recipientId": "sdrn:leboncoin:user:4de4420e-448a-4f38-9b5e-7258e341b9d5", "status": "FINISHED", "currentUserReportStatus": "PRISTINE", "allowFeedbackReply": "DISABLED", "textReview": "Colis jamais reçu après deux achats sur le même article avec deux pseudos différents.\nIncompréhensible.", "lastModified": null, "score": 0.2, "options": [], "givenAt": "2026-04-11T22:16:12.372578Z", "reply": null, "badges": [], "segmentExternalId": "leboncoin-generalist", "source": "MEMBER", "item": { "title": "Jeans homme marron t 42 jules", "pictureUrl": "https://img.leboncoin.fr/api/v1/lbcpb1/images/14/93/b5/1493b5a4e8e77f9a7ca211ce5321d84f457a1989.jpg?rule=ad-thumb" }, "isAutomaticReview": false } } ``` ### 🛟 SUPPORT Share your runs with the developer team and create issues on error to help us improve actor quality. You might discover edge case we didn't test yet We stay available anytime # Actor input Schema ## `feature` (type: `string`): Select the corresponding feature to get data ## `seller_ids` (type: `array`): Provide seller id to extract data from ## `max_pages` (type: `integer`): 0 = no limit ## `proxyConfiguration` (type: `object`): Default value works. But you can also use your own proxies ## Actor input object example ```json { "feature": "infos", "seller_ids": [ "4de4420e-448a-4f38-9b5e-7258e341b9d5" ], "max_pages": 1, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } } ``` # 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 = { "feature": "infos", "seller_ids": [ "4de4420e-448a-4f38-9b5e-7258e341b9d5" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } }; // Run the Actor and wait for it to finish const run = await client.actor("saswave/leboncoin-profile-reviews-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 = { "feature": "infos", "seller_ids": ["4de4420e-448a-4f38-9b5e-7258e341b9d5"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": [], }, } # Run the Actor and wait for it to finish run = client.actor("saswave/leboncoin-profile-reviews-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 '{ "feature": "infos", "seller_ids": [ "4de4420e-448a-4f38-9b5e-7258e341b9d5" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } }' | apify call saswave/leboncoin-profile-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=saswave/leboncoin-profile-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Leboncoin Profile & Reviews Scraper", "description": "$1 / 1000 results. Light weigth tool designed to extract deep intelligence from France's largest marketplace. Essential for market research, fraud detection, and competitive analysis within the French circular economy. It also helps small sellers keep track of their listings on the platform.", "version": "0.0", "x-build-id": "CvFwhxbjAV6fhAIQC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/saswave~leboncoin-profile-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-saswave-leboncoin-profile-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/saswave~leboncoin-profile-reviews-scraper/runs": { "post": { "operationId": "runs-sync-saswave-leboncoin-profile-reviews-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/saswave~leboncoin-profile-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-saswave-leboncoin-profile-reviews-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", "required": [ "seller_ids", "feature" ], "properties": { "feature": { "title": "Select Feature", "enum": [ "infos", "reviews", "reviews_stats", "offers" ], "type": "string", "description": "Select the corresponding feature to get data" }, "seller_ids": { "title": "Seller Profile IDs", "type": "array", "description": "Provide seller id to extract data from", "items": { "type": "string" } }, "max_pages": { "title": "Maximum page", "minimum": 0, "type": "integer", "description": "0 = no limit", "default": 1 }, "proxyConfiguration": { "title": "Proxies", "type": "object", "description": "Default value works. But you can also use your own proxies" } } }, "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 } } } } } } } } } } ```