# Housing Com Listings Extractor (`kawsar/housing-com-listings-extractor`) Actor

Housing.com scraper that pulls property listings from any search URL, with prices, BHK, area, possession, RERA status, seller links, photos, and map coordinates. Handles pagination for you and exports to JSON, CSV, or Excel.

- **URL**: https://apify.com/kawsar/housing-com-listings-extractor.md
- **Developed by:** [Kawsar](https://apify.com/kawsar) (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

from $3.99 / 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 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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Housing.com Listings Extractor

Housing.com Listings Extractor is an Apify actor that scrapes property listings from Housing.com search pages. Paste in a city or locality URL for buying, renting, or new projects and the actor collects every listing card on the results: price, BHK configuration, built-up area, possession status, RERA status, location coordinates, builder and seller details, and all photo URLs. Pagination is handled automatically, so a single URL can return hundreds of listings in one run.

No login, cookies, or browser setup needed. Results go straight to an Apify dataset you can download as JSON, CSV, or Excel, or pull into your own code through the API.

### What data you get

Each listing in the dataset includes:

| Field | Example |
|-------|---------|
| `listingId` | `288132` |
| `listingTitle` | `JK Iris A B And K Phase III` |
| `subtitle` | `2 BHK Flat` |
| `listingUrl` | Full link to the listing page |
| `propertyType` | `project`, `resale`, or `rent` |
| `priceValue` | `9023560` (numeric, in INR) |
| `priceDisplay` | `₹90.24 L - 1.3 Cr` |
| `pricePerSqft` | `16835` |
| `emi` | `₹44.8 K` |
| `bedrooms` / `bathrooms` | `2` / `2` |
| `areaDisplay` | `536 sq.ft` |
| `possessionStatus` | `Ready to Move` |
| `possessionDate` | `Dec, 2025` |
| `addressText` | `Mira Road East, Mira Bhayandar` |
| `locality` / `city` | `Mira Road East` / `Mira Bhayandar` |
| `latitude` / `longitude` | `19.282768` / `72.886086` |
| `builderName` | `J.K Builders & Developers` |
| `sellers` | Seller names, types, and profile links |
| `propertyTags` | `["Ready to Move", "Project", "RERA Approved"]` |
| `isReraApproved` | `true` |
| `coverImageUrl` | Main photo URL |
| `imageUrls` | Every listing photo URL |
| `postedDate` / `updatedAt` | ISO timestamps |

Plus `sourceUrl`, `pageNumber`, and `scrapedAt` for tracking where each row came from.

### How to use it

1. Open the actor on Apify and press **Try for free**.
2. Paste one or more Housing.com search URLs into **Housing.com search URLs**. Any results page works: a city, a locality, a filtered search for buy, rent, or new projects.
3. Set **Max items** if you want more or fewer than the default 100 listings.
4. Press **Start** and wait for the dataset to fill up.

#### Example input

```json
{
    "startUrls": [
        "https://housing.com/in/buy/mumbai/mira-road-east-mira-bhayandar-gid/"
    ],
    "maxItems": 100
}
```

#### Example output item

```json
{
    "listingId": "20267909",
    "listingTitle": "2 BHK Flat",
    "subtitle": "960 sq.ft built up area",
    "listingUrl": "https://housing.com/in/buy/resale/page/20267909-2-bhk-apartment-in-mira-road-east-for-rs-11200000",
    "propertyType": "resale",
    "priceValue": 11200000,
    "priceDisplay": "₹1.12 Cr",
    "emi": "₹55.6 K",
    "bedrooms": 2,
    "bathrooms": 2,
    "areaDisplay": "960 sq.ft",
    "addressText": "Pleasent Park, Mira Road East",
    "locality": "Mira Road East",
    "city": "Mira Bhayandar",
    "latitude": 19.277443,
    "longitude": 72.877045,
    "isReraApproved": true,
    "coverImageUrl": "https://is1-3.housingcdn.com/01c16c28/5240d1fec80ae4c5cbf82dd012a86a07/v0/version/2_bhk_apartment.jpg",
    "imageUrls": ["..."],
    "pageNumber": 1
}
```

### What people use it for

Price research is the big one. Agents and analysts pull a locality's full inventory to see how asking prices compare across projects, resale flats, and rentals. Investors track the same searches week over week to catch price movements early. Lead generation teams collect seller and builder contact links. And developers feed the structured output into dashboards, valuation models, or property portals of their own.

### Input reference

| Field | Type | Default | Notes |
|-------|------|---------|-------|
| `startUrls` | array | required | Housing.com search result URLs |
| `maxItems` | integer | `100` | Cap on saved listings per run, max 1000 |
| `requestTimeoutSecs` | integer | `30` | Per-request timeout |

### Limits and notes

- Around 30 listings come back per results page. The actor walks pages until it reaches your `maxItems` cap or runs out of results.
- Duplicate listings that appear on several pages are saved once.
- If a page fails, the actor records an error row with the URL and keeps going instead of stopping the whole run.
- The actor reads public search pages only. It does not log in, and it does not collect personal data beyond what Housing.com displays publicly on listing cards.

### FAQ

**Which Housing.com pages work?**
Search result pages: buy, rent, new projects, city pages, locality pages, and filtered searches. Individual listing detail pages are not the target here, though every dataset row links to one.

**Can I scrape more than one locality per run?**
Yes. Add as many search URLs as you want. The `maxItems` cap applies to the whole run.

**Does it return photos?**
Every photo URL shown on the listing card, plus the cover image. Download them with any HTTP client if you need the files themselves.

**Is this legal?**
The actor reads publicly available pages. What you do with the data is up to you, so check Housing.com's terms and your local rules before using scraped data commercially.

# Actor input Schema

## `startUrls` (type: `array`):

One or more Housing.com search result URLs, for example a city or locality page for buying, renting or PG. Each URL is paginated automatically until the item limit is reached.

## `maxItems` (type: `integer`):

Maximum number of listings to save per run, across all search URLs.

## `requestTimeoutSecs` (type: `integer`):

Per-request timeout in seconds.

## Actor input object example

```json
{
  "startUrls": [
    "https://housing.com/in/buy/mumbai/mira-road-east-mira-bhayandar-gid/",
    "https://housing.com/in/buy/bangalore/whitefield"
  ],
  "maxItems": 20,
  "requestTimeoutSecs": 30
}
```

# Actor output Schema

## `listings` (type: `string`):

No description

## `datasetOverview` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        "https://housing.com/in/buy/mumbai/mira-road-east-mira-bhayandar-gid/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("kawsar/housing-com-listings-extractor").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "startUrls": ["https://housing.com/in/buy/mumbai/mira-road-east-mira-bhayandar-gid/"] }

# Run the Actor and wait for it to finish
run = client.actor("kawsar/housing-com-listings-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "https://housing.com/in/buy/mumbai/mira-road-east-mira-bhayandar-gid/"
  ]
}' |
apify call kawsar/housing-com-listings-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,kawsar/housing-com-listings-extractor"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/dGgOaKPJO1Tptsqbw/builds/77pbIQUB5sp3QdXdY/openapi.json