# Yad2 Apartments Scraper (`amit123/yadscraper`) Actor I built a Yad2 scraper that automatically collects real estate listings, including price, location, rooms, descriptions, images and more. It structures the data for easy use in alert systems or property search apps. - **URL**: https://apify.com/amit123/yadscraper.md - **Developed by:** [Amit](https://apify.com/amit123) (community) - **Categories:** Automation, Real estate, Developer tools - **Stats:** 371 total users, 39 monthly users, 100.0% runs succeeded, 4 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $8.00 / 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 ## YadScraper - Yad2 Real Estate Scraper An Apify Actor that scrapes real estate rental listings from [Yad2](https://www.yad2.co.il), Israel's largest classifieds website. Extracts detailed apartment data including price, location, features, images, and more. ### Features - Scrapes Yad2 rental and sale listings (regular ads + yad1 project listings) - **Auto-pagination**: automatically detects and fetches all result pages from a single start URL - **Deduplication**: eliminates duplicate listings across pages (promoted/sticky items) - Parallel fetching with configurable concurrency for faster scraping - Extracts structured data: price, rooms, location, images, apartment features, etc. - Outputs data directly to Apify dataset ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `start_urls` | array | **Yes** | - | List of Yad2 search result URLs to scrape. Each item should be `{"url": "https://www.yad2.co.il/realestate/rent?..."}`. No need to add `&page=2` etc. — pagination is automatic. | | `maxPagesPerSearch` | integer | No | `10` | Maximum number of listing pages to auto-paginate per start URL. The scraper detects total pages and fetches them automatically. | | `maxRequestsPerCrawl` | integer | No | `1000` | Maximum number of HTTP requests. Should account for both list pages and detail pages (e.g., 10 list pages x 30 apartments = 310 requests minimum). | | `proxy` | object | No | Apify residential IL proxy | Proxy configuration. Recommended: use Apify residential proxies with Israel country. | #### Example Input ```json { "start_urls": [ { "url": "https://www.yad2.co.il/realestate/rent?topArea=2&area=1&city=5000&Order=1&zoom=11" } ], "maxPagesPerSearch": 10, "maxRequestsPerCrawl": 500, "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IL" } } ```` ### Output Schema Each scraped listing includes: | Field | Type | Description | |-------|------|-------------| | `item_id` | string | Unique listing ID (token) | | `item_url` | string | Direct URL to the listing | | `location` | string | Address: street, neighborhood, city | | `price` | number | Monthly rent price in ILS | | `rooms` | number | Number of rooms | | `square_meter` | number | Apartment size in m² | | `floor` | number | Floor number | | `building_top_floor` | number | Total floors in building | | `entrance_date` | string | Available entry date | | `property_condition` | string | Condition of the property | | `description` | string | Free-text description | | `images` | array | List of image URLs | | `geographic_polygon` | object | GeoJSON Point with lat/lon coordinates | | `mediation` | boolean | `true` if listed through a broker | | `source` | string | Always `"yad2"` | | `item_time` | string | Last updated timestamp on Yad2 | | `insertion_time` | string | Scrape timestamp | | **Apartment Features** | | | | `include_air_condition` | boolean | Has air conditioning | | `elevator` | boolean | Building has elevator | | `parking` | boolean | Has parking | | `safe_room` | boolean | Has safe room (mamad) | | `balcony` | boolean | Has balcony | | `is_pets_allowed` | boolean | Pets allowed | | `furnished` | boolean | Comes furnished | | `garden` | boolean | Has garden | | `is_renovated` | boolean | Recently renovated | | `entire_apartment` | boolean | Entire apartment (not roommates) | | `immediate` | boolean | Immediate entry available | # Actor input Schema ## `start_urls` (type: `array`): URLs to start with ## `maxPagesPerSearch` (type: `integer`): Maximum number of listing pages to auto-paginate per start URL. The scraper automatically detects total pages and fetches them. Set lower to limit scope. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of requests that can be made by this crawler. Should account for both list pages and detail pages (e.g., 10 list pages × 30 apartments = 310 requests minimum). ## `proxy` (type: `object`): Select proxies to be used by your crawler. ## Actor input object example ```json { "start_urls": [ { "url": "https://www.yad2.co.il/realestate/rent?topArea=2&area=1&city=5000&Order=1&zoom=11" } ], "maxPagesPerSearch": 1, "maxRequestsPerCrawl": 1000, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IL" } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("amit123/yadscraper").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 = {} # Run the Actor and wait for it to finish run = client.actor("amit123/yadscraper").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 '{}' | apify call amit123/yadscraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=amit123/yadscraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Yad2 Apartments Scraper", "description": "I built a Yad2 scraper that automatically collects real estate listings, including price, location, rooms, descriptions, images and more. It structures the data for easy use in alert systems or property search apps.", "version": "0.0", "x-build-id": "YWFekLsg7YJJRSw0h" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/amit123~yadscraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-amit123-yadscraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/amit123~yadscraper/runs": { "post": { "operationId": "runs-sync-amit123-yadscraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/amit123~yadscraper/run-sync": { "post": { "operationId": "run-sync-amit123-yadscraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "start_urls": { "title": "Start URLs", "type": "array", "description": "URLs to start with", "default": [ { "url": "https://www.yad2.co.il/realestate/rent?topArea=2&area=1&city=5000&Order=1&zoom=11" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPagesPerSearch": { "title": "Max Pages per Search", "type": "integer", "description": "Maximum number of listing pages to auto-paginate per start URL. The scraper automatically detects total pages and fetches them. Set lower to limit scope.", "default": 1 }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler. Should account for both list pages and detail pages (e.g., 10 list pages × 30 apartments = 310 requests minimum).", "default": 1000 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IL" } } } }, "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 } } } } } } } } } } ```