$0.50/1k: Indian PIN code (Postalcode) -> Place, State, ..

Get location data including place, state, district, and coordinates from Indian PIN codes (postal codes / zip codes).

Simply provide a list of PIN codes and get back structured location data for each one.

No login required. No cookies needed. Pay-per-event pricing.

Why Choose This Actor?

"Enrich your data with Indian location information in seconds"

Our India PIN Code / Postal Code / Zip Code Search provides:

• Very Fast Responses: Parallel processing (up to 4 concurrent requests) for large batches
• Cost-Effective: Pay only for the PIN codes you need: $1.50 / 1k PIN codes
• Complete Data: Get place, state, district, sub-district, and coordinates

Usage Examples

Resolve a Single PIN Code

{
  "pincodes": ["110001"]
}

Resolve Multiple PIN Codes

{
  "pincodes": ["110001", "400001", "700001"]
}

Returns:

{
  "pincode": "110001",
  "place": "Connaught Place",
  "state": "Delhi",
  "state_code": "07",
  "district": "Central Delhi",
  "district_code": "095",
  "subdistrict": "New Delhi",
  "lat": "28.6431",
  "lng": "77.2197",
  "accuracy": "4",
  "error": null
}

Input Parameters

Parameter	Type	Required	Default	Description
pincodes	array	Yes	-	List of Indian PIN codes (postal codes / zip codes) to resolve (6-digit)

Output Fields

Field	Type	Description
pincode	string	6-digit Indian PIN code
place	string	Place/locality name
state	string	State/Union Territory name
state_code	string	2-digit state code
district	string	District name
district_code	string	3-digit district code
subdistrict	string	Sub-district/Taluk name
lat	string	Latitude coordinate
lng	string	Longitude coordinate
accuracy	string	Location accuracy (1-4, higher is better)
error	null/string	Error message if lookup failed

Pricing

Cost	Description
$0.0001 / start	Charged per actor run
$1.50 / 1,000 PIN codes	Charged per PIN code returned

API Integration

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("zen-studio/indian-pincode-postalcode-zip-code-to-city-state").call(
    run_input={
        "pincodes": ["110001", "400001", "700001", "600001"]
    }
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['pincode']}: {item['place']}, {item['district']}, {item['state']}")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('zen-studio/indian-pincode-postalcode-zip-code-to-city-state').call({
    pincodes: ['110001', '400001', '700001']
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => {
    console.log(`${item.pincode}: ${item.place}, ${item.district}, ${item.state}`);
});

Use Cases

• Data Enrichment: Add location data to customer records using PIN codes or postal codes
• Address Validation: Verify Indian PIN codes (zip codes) exist and get full address details
• Geographic Analysis: Map PIN codes to states and districts with coordinates
• E-commerce & Logistics: Determine delivery regions and serviceable areas from PIN codes
• Event Location Enrichment: Add PIN code data to Indian trade shows and conferences from /zen-studio/10times-events-scraper using venue coordinates

Going global?

Looking for postal code data in other countries? Check out our other actors:

• /zen-studio/us-zipcode-to-city-name-state-lat-lng - US ZIP codes (5-digit)
• /zen-studio/norwegian-postalcode-to-city-name - Norwegian postal codes (4-digit)

Related Actors

• /zen-studio/10times-events-scraper - Extract trade shows and conferences in India, then enrich with PIN code data using this actor.

Notes

• PIN codes (postal codes / zip codes) must be provided as strings (e.g., "110001")
• Indian PIN codes are 6 digits (100000-999999)
• Multiple places may share the same PIN code - all matching places are returned
• Invalid or non-existent PIN codes will not appear in results
• Results are returned in no particular order
• Large requests are automatically chunked (100 PIN codes per batch) and processed in parallel (up to 4 concurrent requests)