# Logic Immo Real Estate Scraper (`kinaesthetic_millionaire/logic-immo-real-estate-scraper`) Actor Extracts property listings from Logic-Immo.com, including price, description, property type, surface area, energy class, images, and agency contact details. - **URL**: https://apify.com/kinaesthetic\_millionaire/logic-immo-real-estate-scraper.md - **Developed by:** [Parsedom Inc](https://apify.com/kinaesthetic_millionaire) (community) - **Categories:** Real estate, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Logic Immo Real Estate Scraper **Extract property listings from [Logic-Immo.com](https://www.logic-immo.com/)** — one of France's largest real estate portals with 2M+ monthly visits. Give it a search (listing) page URL or a single property detail page URL and get back structured data: price, description, property type, surface area, energy class, photos, and agency contact details for every matching listing. ### ✨ Features - **Property listing extraction** — get price, description, property type, room counts, surface area, energy class, photo gallery, and agency/contact details for each listing - **Pagination support** — automatically pages through every matching search result, not just the first page, until `maxItems` is reached - **Cache support** — skips listings already scraped in a previous run so repeated runs return new listings instead of duplicates - **Proxy support** — route requests through Apify Proxy (datacenter or residential) if needed ### 🔧 Input Configuration | Field | Type | Required | Default | Description | | -------------------- | ------- | ----------- | ---------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- | | `startUrls` | array | ✅ | `https://www.logic-immo.com/classified-search?distributionTypes=Buy&estateTypes=House,Apartment&locations=AD08FR11058` | Logic-Immo.com search (listing) page URLs or single property detail page URLs | | `maxItems` | integer | — | `5` | Maximum number of listings to scrape per search start URL | | `sessionCookie` | string | Recommended | _(empty)_ | Browser session cookie required to get past Logic-Immo.com's bot protection — see [Session Cookie](#-session-cookie-required) below | | `enableCache` | boolean | — | `false` | Skip listings already scraped in a previous run; turn on to avoid re-scraping duplicates | | `proxyConfiguration` | object | — | `{ "useApifyProxy": false }` | Proxy settings used for all requests | **Supported URL types:** - **Search / listing pages** — e.g. `https://www.logic-immo.com/classified-search?distributionTypes=Buy&estateTypes=House,Apartment&locations=AD08FR11058` — scraped for all matching listings, up to `maxItems` - **Detail pages** — e.g. `https://www.logic-immo.com/detail-vente-268385969.htm` — scraped for that single listing Any other URL (wrong domain, or a Logic-Immo page that is neither a search nor a detail page) is discarded and logged as a warning. ### 🍪 Session Cookie (required) Logic-Immo.com blocks automated requests with bot-detection (DataDome). To get past it, the Actor needs a valid browser session cookie supplied via the `sessionCookie` input field. Without one, runs will fail after a few retries. **How to get one:** Follow the steps in this video: https://www.youtube.com/watch?v=BY3KH4j2nhA Or from network tab: 1. Open [logic-immo.com](https://www.logic-immo.com/) in your browser and browse to any search results page. 2. Open DevTools (F12 or right-click → Inspect) and switch to the **Network** tab. 3. Click any request made to `logic-immo.com` (e.g. one to `serp-bff/search`). 4. In the request's **Headers**, find the `cookie` header and copy its full value (or just the `datadome=...` part). 5. Paste it into the `sessionCookie` input field. The cookie expires periodically (from a few hours up to about a day). If a run that previously worked starts failing with "zero results" errors, grab a fresh cookie and re-run. ### 📦 Output The dataset has one view, **Overview**, showing the key columns (title, price, property type, room counts, living space, energy class, location, URL) for every scraped listing. Each item also contains the full set of fields shown below. **Sample output:** ```json { "id": "26T5K714VM9Q", "legacyId": "274762405", "url": "https://www.logic-immo.com/detail-vente-274762405.htm", "title": "Maison à vendre", "headline": "MAISON DE VILLE AU CALME", "description": "GUIPAVAS, à 700m du centre, dans une rue calme, cette maison des années 60 parfaitement entretenue est composée au rez-de-chaussée d'une entrée, cuisine, salon-séjour...", "propertyType": "Maison", "distributionType": "BUY", "price": 240350, "priceFormatted": "240 350 €", "pricePerSqm": "1 794 €/m²", "rooms": 7, "bedrooms": 4, "livingSpaceSqm": 134, "plotSpaceSqm": 655, "keyFacts": ["7 pièces", "4 chambres", "134 m²", "655 m² de terrain"], "energyClass": "F", "yearOfConstruction": 1964, "location": { "country": "FRA", "city": "Guipavas", "zipCode": "29490", "district": "Habitat Epars", "isAddressPublished": false }, "images": [ { "url": "https://mms.logic-immo.com/9/1/a/8/91a8c8f3-bc4c-4830-8b36-8b067fc6c0a9.jpg", "alt": "Maison à vendre 240 350 € 7 pièces 4 chambres 134 m² 655 m² de terrain", "room": "HOUSE_FACADE" }, { "url": "https://mms.logic-immo.com/4/2/2/e/422e2414-4c6b-434c-a8da-1e2895f6afb2.jpg", "alt": null, "room": "LIVING_ROOM" } ], "hasVirtualTour": true, "hasFloorPlans": false, "provider": { "name": "Votr'Immo", "type": "AGENCY", "isPrivateOwner": false, "website": "http://www.votrimmo.com/", "phoneNumbers": ["0257541843"], "address": "11 rue Louis Nicolle, 29470 Plougastel-Daoulas", "profileUrl": "https://www.logic-immo.com/agences-immobilieres/RS1ZKHGdTjU5cAaubZPrbz", "rating": 4.9, "reviewsCount": 251 }, "tags": { "isExclusive": false, "has3DVisit": true, "hasBrokerageFee": false, "isNew": true }, "status": "Published", "createdAt": "2026-07-11T10:08:00Z", "updatedAt": "2026-07-12T18:31:12.884Z", "scrapedAt": "2026-07-17T09:00:00.000Z" } ```` You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. ### 📊 Data Table | Field | Description | | ------------------------------------------ | ----------------------------------------------------------------------- | | `title` / `headline` / `description` | Listing title, marketing headline, and full description | | `propertyType` / `distributionType` | e.g. "Maison", "Appartement" and whether it's for sale or rent | | `price` / `priceFormatted` / `pricePerSqm` | Asking price, formatted price, and price per square meter | | `rooms` / `bedrooms` | Number of rooms and bedrooms | | `livingSpaceSqm` / `plotSpaceSqm` | Living space and plot size in square meters | | `energyClass` / `yearOfConstruction` | Energy performance rating and construction year | | `location` | Country, city, zip code, and district | | `images` | Photo gallery with URL and room classification (kitchen, bedroom, etc.) | | `hasVirtualTour` / `hasFloorPlans` | Whether a 3D tour or floor plans are available | | `provider` | Agency or private seller name, type, website, phone numbers, and rating | | `tags` | Exclusive listing, 3D visit, brokerage fee, and "new listing" flags | | `url` | Public URL of the listing | ### 💡 Uses of This Data - Price monitoring for properties in a specific city, region, or price range - Feeding a real estate aggregator or comparison site with fresh listings - Market research on property types, price-per-m², and energy ratings by area - Lead generation — identifying private sellers vs. agency-listed properties - Tracking new listings and exclusive properties as they come to market ### 🚀 How to Use 1. [Sign up](https://apify.com/sign-up) for a free Apify account — includes **$5 monthly credit**. 2. Open the actor page and click **Try for free**. 3. Fill in the **Input** fields (a search or detail page URL is required, and a `sessionCookie` — see [Session Cookie](#-session-cookie-required) above). 4. Click **Start** and wait for the run to complete. 5. Download results from the **Output** tab in JSON, CSV, or Excel format. You can also run this actor via the [Apify API](https://docs.apify.com/api/v2) or integrate it directly into your workflows using [Zapier](https://zapier.com/apps/apify), [Make](https://www.make.com/), or [n8n](https://n8n.io/). ### ⚠️ Limitations & Known Issues - **Bot detection (DataDome)** — Logic-Immo.com blocks automated requests unless a valid `sessionCookie` is supplied (see above). Without one, runs fail after a few retries with a "zero results" error. - **Cookie expiry** — the session cookie is time-limited and needs to be refreshed periodically; a run that fails after previously working usually just needs a fresh cookie. - **Page markup changes** — Detail page extraction relies on structured data embedded in the page; a site redesign may require an update. ### 📝 Notes - **Proxy is optional** — a proxy alone does not bypass the bot protection (a valid `sessionCookie` is what matters), but it can still help avoid IP-based rate limiting on large-scale runs. - **API integration** — This actor can be called as an API from any automation platform (Zapier, Make, n8n, custom scripts). ### 💬 Support & Contact Need help or a custom scraper? - 📧 - 🌐 - 💼 Fiverr: - 🤖 Apify expert page: You can also find more of our actors on the [Apify Store](https://apify.com/store). # Actor input Schema ## `startUrls` (type: `array`): Logic-Immo.com search (listing) page URLs or single property detail page URLs. Search URLs are crawled for all matching listings up to Max Items; detail URLs return that one listing. Any other URL is discarded. ## `maxItems` (type: `integer`): Maximum number of listings to scrape for each search start URL. Detail page start URLs always return exactly one item. ## `sessionCookie` (type: `string`): Logic-Immo.com blocks automated requests unless a valid browser session cookie is supplied. Either folow this video: https://www.youtube.com/watch?v=BY3KH4j2nhA or Open a Logic-Immo.com search page in your browser, open DevTools > Network tab, click any request to logic-immo.com, and copy the full value of the request's 'cookie' header here. The cookie expires after a while and needs to be refreshed with a fresh one when runs start failing. See the README for detailed steps. ## `enableCache` (type: `boolean`): If enabled, the actor will only scrape unique property listings. The actor uses a cache system to skip listings already scraped by a previous run. ## `proxyConfiguration` (type: `object`): Proxy settings used for all requests. The Actor works without a proxy by default; enable one if you see blocked requests. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.logic-immo.com/classified-search?distributionTypes=Buy&estateTypes=House,Apartment&locations=AD08FR11058" } ], "maxItems": 5, "enableCache": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "startUrls": [ { "url": "https://www.logic-immo.com/classified-search?distributionTypes=Buy&estateTypes=House,Apartment&locations=AD08FR11058" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("kinaesthetic_millionaire/logic-immo-real-estate-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 = { "startUrls": [{ "url": "https://www.logic-immo.com/classified-search?distributionTypes=Buy&estateTypes=House,Apartment&locations=AD08FR11058" }] } # Run the Actor and wait for it to finish run = client.actor("kinaesthetic_millionaire/logic-immo-real-estate-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 '{ "startUrls": [ { "url": "https://www.logic-immo.com/classified-search?distributionTypes=Buy&estateTypes=House,Apartment&locations=AD08FR11058" } ] }' | apify call kinaesthetic_millionaire/logic-immo-real-estate-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kinaesthetic_millionaire/logic-immo-real-estate-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Logic Immo Real Estate Scraper", "description": "Extracts property listings from Logic-Immo.com, including price, description, property type, surface area, energy class, images, and agency contact details.", "version": "1.0", "x-build-id": "2ai5EEjJlBdswBgQl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kinaesthetic_millionaire~logic-immo-real-estate-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kinaesthetic_millionaire-logic-immo-real-estate-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kinaesthetic_millionaire~logic-immo-real-estate-scraper/runs": { "post": { "operationId": "runs-sync-kinaesthetic_millionaire-logic-immo-real-estate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kinaesthetic_millionaire~logic-immo-real-estate-scraper/run-sync": { "post": { "operationId": "run-sync-kinaesthetic_millionaire-logic-immo-real-estate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Logic-Immo.com search (listing) page URLs or single property detail page URLs. Search URLs are crawled for all matching listings up to Max Items; detail URLs return that one listing. Any other URL is discarded.", "default": [ { "url": "https://www.logic-immo.com/classified-search?distributionTypes=Buy&estateTypes=House,Apartment&locations=AD08FR11058" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max items per start URL", "minimum": 1, "type": "integer", "description": "Maximum number of listings to scrape for each search start URL. Detail page start URLs always return exactly one item.", "default": 5 }, "sessionCookie": { "title": "Session cookie", "type": "string", "description": "Logic-Immo.com blocks automated requests unless a valid browser session cookie is supplied. Either folow this video: https://www.youtube.com/watch?v=BY3KH4j2nhA or Open a Logic-Immo.com search page in your browser, open DevTools > Network tab, click any request to logic-immo.com, and copy the full value of the request's 'cookie' header here. The cookie expires after a while and needs to be refreshed with a fresh one when runs start failing. See the README for detailed steps." }, "enableCache": { "title": "Scrape unique properties", "type": "boolean", "description": "If enabled, the actor will only scrape unique property listings. The actor uses a cache system to skip listings already scraped by a previous run.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings used for all requests. The Actor works without a proxy by default; enable one if you see blocked requests.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```