Indian Property Listings Finder by City & BHK

Search sale and rental property listings across 31 Indian cities by BHK, property type, locality and price band, with area, poster identity and listing links for buyers, agents and researchers.

Open in Apify Store$0.99 / 1K on Free

Short answer

Indian Property Listings Finder by City & BHK is an Apify Store Actor that returns 13 published output fields, including propertyId, title, price, priceInr. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 17 input settings; one is required (mode). Last updated Oct 31, 2026.

From the public Store listing and published build schema, synced 2026-11-12.
Real estateLead generationAutomation

What it returns

13 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

  • propertyId
  • title
  • price
  • priceInr
  • area
  • bedrooms
  • propertyType
  • transactionType
  • city
  • locality
  • projectName
  • reraIds
  • propertyUrl

Input

SettingTypeRequiredDefaultWhat it does
mode string Yes searchForSale What to collect. Search by city and filters, paste MagicBricks search-result URLs, or paste property-detail URLs.
startUrls array No [] MagicBricks search-result or property-detail links (mode=bySearchUrl or byPropertyUrl).
city string No Mumbai Indian city to search (mode=searchForSale, searchForRent, searchProperties).
localities array No – Optional locality or neighbourhood names inside the city (mode=searchForSale, searchForRent, searchProperties). One search is run per locality.
propertyType string No Apartment Type of property to search (mode=searchForSale, searchForRent, searchProperties).
bedrooms string No Any Bedroom count. 5+ is sent as 5, the site's maximum (mode=searchForSale, searchForRent, searchProperties).
priceMin integer No – Lowest asking price in Indian Rupees (mode=searchForSale, searchForRent, searchProperties).
priceMax integer No – Highest asking price in Indian Rupees (mode=searchForSale, searchForRent, searchProperties).
areaMin integer No – Smallest covered or carpet area in square feet (mode=searchForSale, searchForRent, searchProperties).
areaMax integer No – Largest covered or carpet area in square feet (mode=searchForSale, searchForRent, searchProperties).
Show the other 7 settings
SettingTypeRequiredDefaultWhat it does
furnishing string No Any Furnishing state filter (mode=searchForSale, searchForRent, searchProperties).
possessionStatus string No Any Ready-to-move or under-construction filter (mode=searchForSale, searchProperties).
postedSince string No Any Only listings posted in the last 24 hours (mode=searchForSale, searchForRent, searchProperties). MagicBricks does not expose wider server-side posting windows.
tenantType string No Any Who the landlord accepts (mode=searchForRent and rent searches in searchProperties). MagicBricks exposes Bachelors and Family server-side.
sortBy string No Relevance Order of search results (mode=searchForSale, searchForRent, searchProperties).
maxItems integer No 50 Hard cap on the number of property records returned.
includeDetails boolean No false Also open each listing's detail page for project, developer, RERA, full address, GPS, amenities, deposit and maintenance data (search modes).

Example input

Built from the input form's published example values and defaults.

{
  "mode": "searchForSale",
  "startUrls": [],
  "city": "Mumbai",
  "propertyType": "Apartment",
  "bedrooms": "Any",
  "furnishing": "Any",
  "possessionStatus": "Any",
  "postedSince": "Any",
  "tenantType": "Any",
  "sortBy": "Relevance",
  "maxItems": 3,
  "includeDetails": false
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "searchForSale",
    "startUrls": [],
    "city": "Mumbai",
    "propertyType": "Apartment",
    "bedrooms": "Any",
    "furnishing": "Any",
    "possessionStatus": "Any",
    "postedSince": "Any",
    "tenantType": "Any",
    "sortBy": "Relevance",
    "maxItems": 3,
    "includeDetails": False
}

run = client.actor("dataspryva/indian-property-listings-finder-by-city-and-bhk").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "searchForSale",
    "startUrls": [],
    "city": "Mumbai",
    "propertyType": "Apartment",
    "bedrooms": "Any",
    "furnishing": "Any",
    "possessionStatus": "Any",
    "postedSince": "Any",
    "tenantType": "Any",
    "sortBy": "Relevance",
    "maxItems": 3,
    "includeDetails": false
};

const run = await client.actor("dataspryva/indian-property-listings-finder-by-city-and-bhk").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/dataspryva~indian-property-listings-finder-by-city-and-bhk/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"searchForSale","startUrls":[],"city":"Mumbai","propertyType":"Apartment","bedrooms":"Any","furnishing":"Any","possessionStatus":"Any","postedSince":"Any","tenantType":"Any","sortBy":"Relevance","maxItems":3,"includeDetails":false}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=dataspryva/indian-property-listings-finder-by-city-and-bhk",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Apify planPer 1,00010,000 results100,000 results
Free plan$0.99$9.90$99
Starter plan$0.82$8.20$82
Scale plan$0.66$6.60$66
Business plan$0.49$4.90$49
  • Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
  • The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
  • Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
  • Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

What people use it for

  • find property listings
  • compare sale and rental properties

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Questions people ask

How much does Indian Property Listings Finder by City & BHK cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does Indian Property Listings Finder by City & BHK return?

Its published output schema lists 13 fields: propertyId, title, price, priceInr, area, bedrooms, propertyType, transactionType, city, locality, projectName, reraIds, and 1 more. A listed field is not guaranteed to be filled in every row.

What input does Indian Property Listings Finder by City & BHK need?

Required: mode. Optional settings include startUrls, city, localities, propertyType, bedrooms, priceMin.

How do I run Indian Property Listings Finder by City & BHK from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("dataspryva/indian-property-listings-finder-by-city-and-bhk").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("dataspryva/indian-property-listings-finder-by-city-and-bhk").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/dataspryva~indian-property-listings-finder-by-city-and-bhk/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-10-31 Data synced 2026-11-12
Cite this page

Scraper Finder. "Indian Property Listings Finder by City & BHK." https://scraperfinder.com/catalogue/indian-property-listings-finder-by-city-and-bhk/ (data checked 2026-11-12).

Run Indian Property Listings Finder by City & BHK

$0.99 per 1,000 results. Paste the example input above, set your target query, then export the dataset.

Open in Apify Store