# MagicBricks + 99acres Property Scraper (`fascinating_lentil/magicbricks-99acres-property-scraper`) Actor Scrape Indian property listings from MagicBricks and 99acres with prices, BHK, area, locality, project, images, and listing URLs. No login or API key required. - **URL**: https://apify.com/fascinating\_lentil/magicbricks-99acres-property-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** Real estate, Other, Lead generation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 property scrapeds 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 ## MagicBricks + 99acres Property Scraper - Prices, BHK, Area & Listings Scrape Indian real-estate listings from MagicBricks and 99acres in one run, with prices, BHK, area, locality, project, images, and listing URLs. Export clean data to JSON, CSV, Excel, or HTML, or pull it via the Apify API — no login and no API key required. Built with Node.js 20, TypeScript, and the Apify SDK using native `fetch` over Apify residential proxies, with retries and resilient extraction so runs are reliable and repeatable. The actor reads each portal's structured listing data (JSON-LD and embedded page state) instead of fragile DOM scraping. ### What It Extracts - Property title, source (MagicBricks or 99acres), and transaction type (sale or rent) - City queried, locality, project name, and full address - Price display text and parsed INR price - BHK, property type, area and area unit, and area type (carpet / built-up / super built-up) - Bedrooms, bathrooms, balconies, furnishing, status, and floor when available - Latitude and longitude when published by the source - Image URL, listing URL, short description, and scrape timestamp - MagicBricks and 99acres records merged into one deduplicated dataset The actor does not extract phone numbers, emails, or private contact details. If sensitive text appears in page descriptions, it is redacted before saving. ### Use Cases 1. Real-estate market research for brokers, agencies, and proptech teams 2. Property price monitoring and trend tracking by city and locality 3. Competitor inventory tracking across major Indian portals 4. Rental market research and housing supply analysis 5. Investment, valuation, and location analytics across cities ### Pricing This actor uses Apify Pay Per Event pricing. You pay only for clean records delivered to the dataset — failed, blocked, or empty results are not billed. | Event name | Price per event | 1,000 results | 10,000 results | | --- | ---: | ---: | ---: | | `property-scraped` | $0.003 | $3.00 | $30.00 | ### Input | Field | Type | Required | Default | Description | | --- | --- | --- | --- | --- | | `source` | string | yes | `both` | Which portal to scrape: `both`, `magicbricks`, or `99acres`. | | `transactionType` | string | yes | `sale` | Listing type: `sale` or `rent`. | | `cities` | array | yes | `["Mumbai"]` | Indian city names, e.g. Mumbai, Pune, Bengaluru, Delhi, Chennai, Hyderabad. | | `minPrice` | integer | no | — | Optional minimum price in INR. Listings with unknown prices are skipped when a price filter is set. | | `maxPrice` | integer | no | — | Optional maximum price in INR. Listings with unknown prices are skipped when a price filter is set. | | `maxResults` | integer | yes | `50` | Maximum unique listings to save (1–500). | | `proxyConfiguration` | object | no | Residential, IN | Apify proxy settings. Residential with India targeting recommended. | ### Example Input ```json { "source": "both", "transactionType": "sale", "cities": ["Mumbai"], "maxResults": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN" } } ```` ### How to Scrape MagicBricks and 99acres (Step by Step) 1. Click **Try for free** / **Run**. 2. Choose `source`: `both`, `magicbricks`, or `99acres`. 3. Select `transactionType`: `sale` or `rent`. 4. Add one or more Indian cities, such as Mumbai, Pune, Bengaluru, Delhi, Chennai, or Hyderabad. 5. Optionally set minimum and maximum INR price filters, set `maxResults` (start small to test), then run and export results as CSV, JSON, or Excel. ### Sample Output ```json { "source": "99acres", "transactionType": "sale", "cityQuery": "Mumbai", "propertyId": "H91004828", "title": "3 BHK Flat in Sewri, Mumbai", "propertyType": "Apartment", "bhk": 3, "price": 63200000, "priceDisplay": "Rs. 6.32 Crore", "area": 2036, "areaUnit": "sqft", "areaType": "Super Built-up Area", "bedrooms": 3, "bathrooms": 3, "furnishing": "Unfurnished", "status": "Under construction", "floor": "16", "projectName": "Lodha Aureus , Sewri", "locality": "Sewri, Mumbai", "city": "Mumbai South", "address": "Lodha Aureus , Sewri, Sewri, Mumbai, Mumbai South, India", "latitude": 19.000645, "longitude": 72.854859, "imageUrl": "https://imagecdn.99acres.com/media1/37936/8/758728772T-1778670458404.jpg", "propertyUrl": "https://www.99acres.com/3-bhk-bedroom-apartment-flat-for-sale-in-sewri-south-mumbai-2036-sqft-spid-H91004828", "scrapedAt": "2026-06-12T19:55:25.019Z" } ``` ### API Example ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('magicbricks-99acres-property-scraper').call({ source: 'both', transactionType: 'sale', cities: ['Mumbai'], maxResults: 10, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Got ${items.length} properties`); ``` ### How It Works 1. Validates input and resolves the selected sources and cities. 2. Fetches MagicBricks and 99acres search pages over Apify residential proxies with retries. 3. Extracts structured listing data (JSON-LD and embedded page state), then cleans and normalizes fields. 4. Deduplicates by property ID / URL and applies optional price filters. 5. Charges `property-scraped` only after a clean record is saved, then writes to the Apify Dataset. ### Known Limits - Some fields are conditional: geo coordinates, floor, balconies, and deposit are only saved when the source publishes them. MagicBricks rarely exposes coordinates, so those may be `null`. - Price filtering skips listings with an unknown price, since they cannot be compared. - MagicBricks and 99acres can reject datacenter traffic. The default input uses Apify Residential proxy with India targeting for reliability. ### Legal and Ethical Use Use this actor for legitimate property listing data collection, real-estate market research, and price monitoring. You are responsible for complying with each portal's terms, privacy laws, and local regulations wherever you use the data. ### Responsible Use This Actor is intended for lawful collection of publicly available information only. Users are responsible for ensuring their use complies with the source website's terms, robots.txt, applicable privacy laws, including India's DPDP Act, and all local regulations. Do not use this Actor to collect, store, sell, or misuse personal data without a lawful basis. The Actor author is not responsible for misuse by end users. ### License Apache-2.0. See `LICENSE`. # Actor input Schema ## `source` (type: `string`): Choose which Indian real-estate portal to scrape. ## `transactionType` (type: `string`): Scrape property listings for sale or rent. ## `cities` (type: `array`): Indian city names to search, for example Mumbai, Pune, Bengaluru, Delhi, Chennai, or Hyderabad. ## `minPrice` (type: `integer`): Optional minimum price in INR. Records with unknown prices are skipped when a price filter is used. ## `maxPrice` (type: `integer`): Optional maximum price in INR. Records with unknown prices are skipped when a price filter is used. ## `maxResults` (type: `integer`): Maximum number of unique property listings to save. ## `proxyConfiguration` (type: `object`): Optional proxy settings. Enable Apify Proxy if a city page is geo-restricted or rate limited. ## Actor input object example ```json { "source": "both", "transactionType": "sale", "cities": [ "Mumbai" ], "maxResults": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } ``` # 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("fascinating_lentil/magicbricks-99acres-property-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 = {} # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/magicbricks-99acres-property-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 '{}' | apify call fascinating_lentil/magicbricks-99acres-property-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/magicbricks-99acres-property-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MagicBricks + 99acres Property Scraper", "description": "Scrape Indian property listings from MagicBricks and 99acres with prices, BHK, area, locality, project, images, and listing URLs. No login or API key required.", "version": "1.0", "x-build-id": "xQcHHRLeQpLS4WTU3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~magicbricks-99acres-property-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-magicbricks-99acres-property-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~magicbricks-99acres-property-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-magicbricks-99acres-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~magicbricks-99acres-property-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-magicbricks-99acres-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "source", "transactionType", "cities", "maxResults" ], "properties": { "source": { "title": "Source", "enum": [ "both", "magicbricks", "99acres" ], "type": "string", "description": "Choose which Indian real-estate portal to scrape.", "default": "both" }, "transactionType": { "title": "Transaction type", "enum": [ "sale", "rent" ], "type": "string", "description": "Scrape property listings for sale or rent.", "default": "sale" }, "cities": { "title": "Cities", "type": "array", "description": "Indian city names to search, for example Mumbai, Pune, Bengaluru, Delhi, Chennai, or Hyderabad.", "items": { "type": "string" }, "default": [ "Mumbai" ] }, "minPrice": { "title": "Minimum price", "type": "integer", "description": "Optional minimum price in INR. Records with unknown prices are skipped when a price filter is used." }, "maxPrice": { "title": "Maximum price", "type": "integer", "description": "Optional maximum price in INR. Records with unknown prices are skipped when a price filter is used." }, "maxResults": { "title": "Maximum results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of unique property listings to save.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy settings. Enable Apify Proxy if a city page is geo-restricted or rate limited.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } } }, "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 } } } } } } } } } } ```