# Square Yards Scraper — India Property Listings & Prices (`vladignatyev/squareyards-scraper`) Actor

Scrape Square Yards (squareyards.com) India real estate into clean JSON, CSV or Excel. Extract Indian property data — price, BHK, baths, area, floor, locality and geo — for resale flats and new projects across Mumbai, Delhi, Bangalore and more. A property dataset for investors and lead generation.

- **URL**: https://apify.com/vladignatyev/squareyards-scraper.md
- **Developed by:** [Vladimir Ignatev](https://apify.com/vladignatyev) (community)
- **Categories:** Real estate, Lead generation, Developer tools
- **Stats:** 12 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.90 / 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/actors/running/actors-in-store.md#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

## Square Yards Scraper — India Property Listings & Prices

Scrape **squareyards.com** Indian real estate into clean JSON, CSV or Excel — price, beds (BHK), baths, area, floor, locality, geo and images for **resale flats and new projects** across Indian cities (Mumbai, Delhi, Bangalore, Pune, Hyderabad, …).

### What you get

| Field | Notes |
|-------|-------|
| `id`, `url` | Listing/project id + direct link |
| `listingKind` | `resale` (individual flat) or `project` (new development) |
| `propertyType`, `title` | Apartment/House/Project; listing title |
| `price`, `currency`, `priceUnit` | Numeric INR (resale: parsed from description crore/lakh; project: offers.price) |
| `beds` (BHK), `baths`, `areaSqft`, `floor` | |
| `streetAddress`, `locality`, `city`, `country` | Location |
| `lat`, `lng` | Coordinates |
| `mainImage`, `description` | |
| `scrapedAt`, `source` | Run metadata |

### Input

```json
{ "startUrls": ["https://www.squareyards.com/sale/apartments-for-sale-in-mumbai"], "maxItems": 500 }
```

- **startUrls** — squareyards listing pages: `/sale/<type>-for-sale-in-<city>`, `/rent/<type>-for-rent-in-<city>`. Pagination added automatically (`?page=N`).
- **maxItems** — stop after this many listings.
- **proxyConfiguration** — Apify Proxy (datacenter is fine; the site has no anti-bot).

### How it works

squareyards.com listing pages embed listings as JSON-LD — `Apartment` objects for resale flats (beds/baths/floorSize/geo/address, price in the description text) and `Product` objects for new projects (`offers.price` INR). This actor reads each listing page, parses all JSON-LD objects, derives numeric INR price (crore/lakh → INR), de-duplicates by id, and paginates via `?page=N` up to `maxItems`. Public pages only; respects robots.txt (avoids `/search`, `/resale/search`, `/SG|UK|IN/*`).

# Actor input Schema

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

squareyards.com listing pages, e.g. https://www.squareyards.com/sale/apartments-for-sale-in-mumbai , /sale/villa-for-sale-in-bangalore , /rent/apartments-for-rent-in-pune. Pagination added automatically (?page=N).

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

Stop after this many listings.

## `proxyConfiguration` (type: `object`):

Apify Proxy (datacenter is fine; the site has no anti-bot).

## Actor input object example

```json
{
  "startUrls": [
    "https://www.squareyards.com/sale/apartments-for-sale-in-mumbai"
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

All listings scraped in this run, as dataset items.

## `listingsCsv` (type: `string`):

Same dataset, ready to open in Excel / Google Sheets.

## `datasetInConsole` (type: `string`):

Browse the results table in the UI.

# 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 = {};

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

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("vladignatyev/squareyards-scraper").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 '{}' |
apify call vladignatyev/squareyards-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vladignatyev/squareyards-scraper"
        }
    }
}

```

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/7exKT0jNcocV32rlc/builds/oPwncaCK0pRa0ZpTD/openapi.json