Use IndiaMART B2B Product Listings by City & State with Python
Search IndiaMART's product listings by keyword, optionally narrowed to an Indian state or city, with price, MOQ, supplier name/location, rating, and response rate per listing.
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.
{
"category": "",
"city": "",
"enrichWithProductDetails": false,
"expandRelatedCategories": false,
"keyword": "cotton fabric",
"maxItems": 3,
"maxPrice": 0,
"minPrice": 0,
"minRating": 0,
"mode": "searchProducts",
"productUrls": [],
"state": "",
"supplierUrls": [],
"verifiedSuppliersOnly": false
}
Download input.example.json and save your reviewed copy as input.json.
| Field | Type | Required | Description |
|---|---|---|---|
mode | string | required | Choose what to collect from IndiaMART. |
keyword | string | optional | Product or material keyword, e.g. 'cotton fabric', 'industrial pump', 'basmati rice'. Required for mode=searchProducts. |
category | string | optional | IndiaMART category slug or category URL, e.g. 'cotton-fabric' or 'https://dir.indiamart.com/impcat/cotton-fabric.html'. Required for mode=browseCategory. |
city | string | optional | Keep only suppliers in this Indian city, e.g. 'Surat', 'Mumbai', 'Jaipur'. Works with searchProducts and browseCategory. |
state | string | optional | Keep only suppliers in this Indian state or union territory. Leave empty for all of India. |
productUrls | array | optional | IndiaMART product URLs or numeric product IDs. Used only for mode=productDetails. |
supplierUrls | array | optional | IndiaMART supplier profile URLs, company IDs, or company aliases. Used only for mode=supplierProfile. |
maxItems | integer | optional | Maximum number of records to return across all keywords and inputs. |
expandRelatedCategories | boolean | optional | When a keyword or category has too few listings, also collect IndiaMART's related product categories. Results are de-duplicated. |
enrichWithProductDetails | boolean | optional | Open each product page to add description, full specifications, MOQ, contact number, GST, IEC and company details. Adds one request per product. |
minPrice | integer | optional | Drop listings priced below this amount. Use 0 for no minimum. |
maxPrice | integer | optional | Drop listings priced above this amount. Use 0 for no maximum. |
minRating | number | optional | Drop suppliers rated below this star rating (0 to 5). Use 0 for no minimum. |
verifiedSuppliersOnly | boolean | optional | Keep only suppliers with an IndiaMART verification signal such as TrustSEAL, verified exporter or verified GST. |
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/l0XeUyh2eHRNbU3M0/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.
Dataset of IndiaMART product listings and supplier profiles with price, MOQ, specifications, images, location, rating, response rate, and verified company details where IndiaMART publishes them.
Questions before you run
Which inputs are required?
The published required fields are mode
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.
Generated from source build XP3b8zL2i711xmbbR and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.