# Sahibinden Real Estate Scraper (`lightkong/sahibinden-real-estate-scraper`) Actor Scrape real estate listings from Sahibinden.com easily. Extracts prices, locations, m², rooms, dates & photos. Built with advanced Cloudflare bypass and session cookie support to evade login walls. Supports pagination and detail pages. - **URL**: https://apify.com/lightkong/sahibinden-real-estate-scraper.md - **Developed by:** [Lightkong](https://apify.com/lightkong) (community) - **Categories:** Real estate, Automation, Open source - **Stats:** 152 total users, 16 monthly users, 94.1% runs succeeded, NaN bookmarks - **User rating**: 1.00 out of 5 stars ## Pricing from $10.00 / 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. 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 ## Sahibinden Real Estate Scraper 🏠 ### 🤖 Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor. ```text tyegen/sahibinden-real-estate-scraper on Apify. Call: ApifyClient("TOKEN").actor("tyegen/sahibinden-real-estate-scraper").call(run_input={"startUrls": [{"url": "URL_HERE"}]}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. ```` > **🚨 CRITICAL REQUIREMENT FOR USERS: SESSION COOKIES 🚨** > > Sahibinden.com has extremely aggressive anti-bot protection and frequently redirects new proxy IPs to a mandatory login page. > > **To prevent constant TIMEOUTS or empty results, you MUST inject your personal Session Cookie into the actor's input.** > Use an extension like `EditThisCookie` to export your session from a real browser and paste it into the `sessionCookies` field before running. A powerful Apify Actor that scrapes real estate listings from Sahibinden.com (Turkey's largest classified ads platform). Extracts property details including price, location, size, rooms, building age, and more. ### Features - ✅ **Cloudflare Bypass** — Puppeteer + Stealth plugin - ✅ **Mandatory Login Bypass** — Supports injecting personal Session Cookies to evade IP login walls - ✅ **Residential Proxy** — Required for Sahibinden.com (TR country code) - ✅ **Detail Pages** — Optional: scrape full property details, photos, and seller info - ✅ **Pagination** — Automatically navigates through all result pages - ✅ **BaseRow Integration** — Optional: store data directly in BaseRow - ✅ **Human-like Behavior** — Random delays, user agents, and viewport sizes #### Input | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `startUrls` | Array | `satilik-daire/istanbul` | Sahibinden.com category page URLs | | `maxItems` | Integer | All | Maximum number of listings to scrape | | `includeDetails` | Boolean | `false` | Scrape detail pages for full info | | `maxConcurrency` | Integer | `3` | Max concurrent pages (3-5 recommended) | | `proxyConfiguration` | Object | RESIDENTIAL/TR | Proxy settings | #### Output (Basic - `includeDetails: false`) ```json { "id": "1234567890", "url": "https://www.sahibinden.com/ilan/...", "title": "3+1 Satılık Daire Kadıköy", "price": 4500000, "price_currency": "TL", "location": "İstanbul / Kadıköy", "date": "21 Şubat 2026", "image": "https://...", "scrapedAt": "2026-02-21T12:00:00.000Z", "sourceUrl": "https://www.sahibinden.com/satilik-daire/istanbul" } ``` #### Output (Detailed - `includeDetails: true`) Additional fields when detail scraping is enabled: ```json { "description": "Kadıköy merkezde...", "images": ["https://...", "https://..."], "seller": "Emlak Ofisi", "rooms": "3+1", "size": "140 / 120", "buildingAge": "5-10", "floor": "3", "totalFloors": "8", "heating": "Doğalgaz", "furnished": "Hayır", "usage": "Boş", "inSite": "Evet", "dues": "500 TL", "deedStatus": "Kat Mülkiyeti", "creditEligible": "Evet", "info": { "Oda Sayısı": "3+1", "Brüt / Net M2": "140 / 120", "...": "..." } } ``` #### Supported URL Formats ``` ## Category-based https://www.sahibinden.com/satilik-daire/istanbul https://www.sahibinden.com/kiralik-daire/aydin https://www.sahibinden.com/satilik-arsa/izmir https://www.sahibinden.com/satilik-villa/antalya ## With filters https://www.sahibinden.com/satilik-daire/istanbul?sorting=date_desc&pagingSize=50 ``` #### Usage Example (API) ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const input = { startUrls: [ { url: 'https://www.sahibinden.com/satilik-daire/istanbul?sorting=date_desc' } ], maxItems: 100, includeDetails: false, maxConcurrency: 3, proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ['RESIDENTIAL'], countryCode: 'TR' }, sessionCookies: [ // Paste your exported EditThisCookie JSON here ] }; // Run the actor and wait for it to finish const run = await client.actor('YOUR_USERNAME/sahibinden-real-estate-scraper').call(input); ``` #### ⚠️ Important Notes - **Session Cookies are highly recommended** — Sahibinden.com frequently redirects scraper proxy IPs to the mandatory login page (`/giris`). You must provide your own exported Session Cookies to bypass this wall. **Do not save your cookies when publishing the actor publicly.** Provide them only when running your own tasks. - **RESIDENTIAL proxy is required** — Sahibinden.com blocks datacenter IPs. - **Keep `maxConcurrency` at 3-5** — Higher values increase the risk of your session cookies or proxy being banned. - **Country code `TR`** — Turkish residential proxies work best for latency and stealth. - **Selectors may change** — Sahibinden.com updates their HTML periodically to break automated extraction. # Actor input Schema ## `startUrls` (type: `array`): URLs of Sahibinden.com real estate category pages. Example: https://www.sahibinden.com/satilik-daire/istanbul ## `maxItems` (type: `integer`): Maximum number of listings to scrape. Leave empty to scrape all available listings. ## `maxConcurrency` (type: `integer`): Maximum number of pages to open concurrently. High values increase the risk of getting banned. Recommended: 3-5. ## `proxyConfiguration` (type: `object`): Proxy settings. Sahibinden.com requires RESIDENTIAL proxies. ## `baseRowApiToken` (type: `string`): Optional: BaseRow API token to save data directly to a BaseRow table. ## `baseRowTableId` (type: `string`): Optional: BaseRow Table ID. ## `baseRowDatabaseId` (type: `string`): Optional: BaseRow Database ID. ## `sessionCookies` (type: `array`): Paste your active Session Cookies JSON (exported from your browser using EditThisCookie or similar) to bypass the mandatory Sahibinden.com login screen. ## `debugMode` (type: `boolean`): Enable debug mode to save screenshots and HTML snapshots to the Key-Value store whenever the scraper is blocked or encounters a challenge. Useful for diagnosing Cloudflare/PerimeterX issues. Disable in production. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.sahibinden.com/satilik-daire/istanbul?sorting=date_desc" } ], "maxConcurrency": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "countryCode": "TR" }, "sessionCookies": [], "debugMode": false } ``` # 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.sahibinden.com/satilik-daire/istanbul?sorting=date_desc" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "countryCode": "TR" } }; // Run the Actor and wait for it to finish const run = await client.actor("lightkong/sahibinden-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.sahibinden.com/satilik-daire/istanbul?sorting=date_desc" }], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "countryCode": "TR", }, } # Run the Actor and wait for it to finish run = client.actor("lightkong/sahibinden-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.sahibinden.com/satilik-daire/istanbul?sorting=date_desc" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "countryCode": "TR" } }' | apify call lightkong/sahibinden-real-estate-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lightkong/sahibinden-real-estate-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sahibinden Real Estate Scraper", "description": "Scrape real estate listings from Sahibinden.com easily. Extracts prices, locations, m², rooms, dates & photos. Built with advanced Cloudflare bypass and session cookie support to evade login walls. Supports pagination and detail pages.", "version": "0.0", "x-build-id": "UMJOSN9xwVtyp4H7V" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lightkong~sahibinden-real-estate-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lightkong-sahibinden-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lightkong~sahibinden-real-estate-scraper/runs": { "post": { "operationId": "runs-sync-lightkong-sahibinden-real-estate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lightkong~sahibinden-real-estate-scraper/run-sync": { "post": { "operationId": "run-sync-lightkong-sahibinden-real-estate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "URLs of Sahibinden.com real estate category pages. Example: https://www.sahibinden.com/satilik-daire/istanbul", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum number of listings to scrape. Leave empty to scrape all available listings." }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of pages to open concurrently. High values increase the risk of getting banned. Recommended: 3-5.", "default": 3 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Sahibinden.com requires RESIDENTIAL proxies." }, "baseRowApiToken": { "title": "BaseRow API Token", "type": "string", "description": "Optional: BaseRow API token to save data directly to a BaseRow table." }, "baseRowTableId": { "title": "BaseRow Table ID", "type": "string", "description": "Optional: BaseRow Table ID." }, "baseRowDatabaseId": { "title": "BaseRow Database ID", "type": "string", "description": "Optional: BaseRow Database ID." }, "sessionCookies": { "title": "Session Cookies (JSON)", "type": "array", "description": "Paste your active Session Cookies JSON (exported from your browser using EditThisCookie or similar) to bypass the mandatory Sahibinden.com login screen.", "default": [] }, "debugMode": { "title": "Debug Mode", "type": "boolean", "description": "Enable debug mode to save screenshots and HTML snapshots to the Key-Value store whenever the scraper is blocked or encounters a challenge. Useful for diagnosing Cloudflare/PerimeterX issues. Disable in production.", "default": false } } }, "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 } } } } } } } } } } ```