99acres: scrapers and the official API, compared

Route map

Each line is one way to get 99acres data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Field matrix: who returns what

Every tool with a published output schema, against the 7 fields most 99acres jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every 99acres Actor by field.

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 9 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

What to check before you choose

City and locality searches on 99acres help property researchers compare advertised sale and rental listings across Indian markets. Price, bedroom count and area support comparisons when the records describe the same transaction and property type.

Choose listing output for individual property research and project output for development-level analysis. Public-page scrapers are the available collection route here, since 99acres publishes no general public property API.

Checklist

• Keep sale and rental searches separate, and confirm how the selected tool preserves that distinction in its output.
• Inspect price alongside priceValue, and area alongside areaSqft, before choosing values for calculations or comparisons.
• Check recordType and sellerType against the research goal; a project record or seller category needs different handling from an individual property listing.

Where the data is incomplete

The published schema for 99acres City & BHK Property Listing Scraper includes locality, city, bedrooms, propertyType and propertyUrl. It omits an explicit sale-or-rent field, so preserve the search context and verify how each record's transaction type is identified.

sellerType describes a seller category, while named agent records and contact details are absent from this schema. The meanings and completeness of priceValue, areaSqft and postedAt also need checking in actual records before they support market calculations or freshness filters.

Official API route

Terms and personal data

Limit collection to public listings and review 99acres' terms and conditions before automating access. Check permitted uses before republishing listing content or contact information. This is general information, not legal advice.

Read 99acres' terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

1. Configure a narrow search with a consistent transaction type, property category and bedroom requirement where supported.
2. Run the collection and inspect prices, area units, locality and source links before combining results from additional searches.

Call 99acres City & BHK Property Listing Scraper from code

The example input uses the Actor's published defaults; set your own 99acres query before you run it. You need an Apify API token.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "searchForRent",
    "city": "Noida",
    "propertyType": "Residential Apartment",
    "bedrooms": "2",
    "sortBy": "relevance",
    "includeProjects": False,
    "includeDetails": False,
    "maxItems": 3
}

run = client.actor("dataspryva/99acres-city-and-bhk-property-listing-scraper").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)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "searchForRent",
    "city": "Noida",
    "propertyType": "Residential Apartment",
    "bedrooms": "2",
    "sortBy": "relevance",
    "includeProjects": false,
    "includeDetails": false,
    "maxItems": 3
};

const run = await client.actor("dataspryva/99acres-city-and-bhk-property-listing-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/dataspryva~99acres-city-and-bhk-property-listing-scraper/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"searchForRent","city":"Noida","propertyType":"Residential Apartment","bedrooms":"2","sortBy":"relevance","includeProjects":false,"includeDetails":false,"maxItems":3}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=dataspryva/99acres-city-and-bhk-property-listing-scraper",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Questions people ask

More on 99acres

• Topic groupReal estate data: every website compared
• ToolWhich 99acres route fits your job?
• Tool99acres cost by Apify plan, rows and runs

Related websites

• Property Finder1 Actor

Sources

• 99acres City & BHK Property Listing Scraper on Apify Store
• No public listing API documentation
• 99acres terms