Use 99acres City & BHK Property Listing Scraper with Python

Search 99acres by city, BHK size, property type, locality, and price range to get structured buy and rent listings across 25 major Indian cities, with price, area, location, and poster details.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "bedrooms": "2",
  "city": "Noida",
  "furnishing": "",
  "includeDetails": false,
  "includeProjects": false,
  "maxItems": 3,
  "mode": "searchForRent",
  "propertyType": "Residential Apartment",
  "sortBy": "relevance"
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	required	Search properties for sale or for rent.
`city`	string	required	Indian city to search in.
`propertyType`	string	optional	Residential property type to search for.
`bedrooms`	string	optional	Number of bedrooms. Choose '5+' for five or more.
`locality`	string	optional	Optional locality or sector name within the city, e.g. 'Sector 43'. The actor looks up the 99acres locality ID.
`localities`	array	optional	Optional list of locality names; each is resolved to a 99acres locality ID.
`priceMin`	integer	optional	Minimum price in Indian Rupees. Applied while scanning pages because 99acres ignores price query parameters.
`priceMax`	integer	optional	Maximum price in Indian Rupees. Applied while scanning pages because 99acres ignores price query parameters.
`furnishing`	string	optional	Filter by furnishing status.
`sortBy`	string	optional	Result order. 'Newest' is 99acres' recently-updated order (updatedAt), not the original posting date (postedAt).
`includeProjects`	boolean	optional	Include new-launch project cards alongside individual listings. Project rows have recordType 'project'.
`includeDetails`	boolean	optional	Fetch each property's detail page for RERA numbers, amenity labels, carpet area, floor, furnishing details, and coordinates. Off by default because it adds one residential request per property.
`searchUrls`	array	optional	Optional 99acres search URLs: /property-in-<city>-ffid?... or /<n>-bhk-flats-in-<city>-ffid?... When provided, city and filter fields are ignored.
`maxItems`	integer	optional	Maximum number of property and project records to return.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/2TFMROZoJNU2eMqGS/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

One record per 99acres property listing or new-launch project, with price, area, BHK, locality, seller, images, amenities, floor, furnishing, coordinates, and URL.

Questions before you run

Which inputs are required?

The published required fields are mode, city

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build GfLPEtbM3CuOX9T6U and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.