India Company Data — MCA 🇮🇳

🎉 Turn the Indian MCA registry into clean, structured company data — no login, no API key, one row per entity, with the CIN, status, legal form, incorporation date and registered address. Built for B2B sales, KYB and market research in India.

🔍 What is the India Company Data — and when should you use it?

Give this actor company names or CINs and it returns matching companies from the Indian Ministry of Corporate Affairs (MCA) registry (open data) — as clean, deduplicated rows you can filter, export or feed to an AI agent. Every run queries the source live, so the data is as fresh as the registry itself.

Use it when you need: a India company list for outreach; formation / status monitoring; or a canonical registry record for KYB and due diligence.

Use something else when: you need firmographics the registry doesn’t hold (revenue, headcount, website, email) — pair this with an enrichment actor from Fox Labs.

🤖 Use with AI agents

Already on the Apify MCP server? Ask for this Actor by name: foxlabs/indian-company-data.

Your agent can pay for its own runs. This Actor is pay-per-event with agentic payments, so an agent can discover it, run it and settle the bill over x402 (USDC on Base) or Skyfire — no Apify account or API token of its own. Billing is the same either way: per delivered record, never for errors.

Otherwise paste this into Claude, ChatGPT, Cursor or any MCP-enabled assistant:

I want to pull India company records using the Apify Actor `foxlabs/indian-company-data`.
Input: `queries` is a list of company names or CINs. `maxResultsPerQuery` caps rows per query.
Start with: {"queries":["undefined"],"maxResultsPerQuery":50}
Ask me what to look up, run the Actor, then summarise the rows as a table.

The machine-readable API, MCP config and OpenAPI definition live at apify.com/foxlabs/indian-company-data.md.

📋 Overview

Everything you need to turn the Indian Ministry of Corporate Affairs (MCA) registry (open data) into clean, structured data — in one actor, with no login, cookies or API key.

Why teams pick this actor:

• ✅ Whole registry, one call — name or ID in, matching companies out.
• 🧹 No empty-promise columns — only fields this registry actually fills; degenerate columns are removed.
• 🔗 Stable identifiers — every row carries the source's own IDs, ready to join across runs and to other Fox Labs actors.
• 💰 Pay only for results — per-row pricing, empty/failed lookups never billed.
• 🤖 Agent-ready — MCP + x402 agentic payments.

✨ Features

• 🔍 Name or ID lookup — relevance-ranked name search or exact registry-ID lookup.
• 🏢 Full entity profile — status, legal form, formation date, address and the registry’s own contact fields.
• 🧹 Clean schema — deduplicated camelCase rows, ready for CSV/Excel/JSON.

🎬 Quick Start

curl -X POST "https://api.apify.com/v2/acts/foxlabs~indian-company-data/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["undefined"],"maxResultsPerQuery":50}'

🚀 Getting Started (3 steps)

1. Choose your targets — company names or CINs.
2. Set the cap — maxResultsPerQuery limits rows per query.
3. Run and export — get a clean dataset as JSON, CSV or Excel.

📥 Input

{"queries":["undefined"],"maxResultsPerQuery":50}

Field	Type	Description
queries	array	Company names or CINs.
maxResultsPerQuery	integer	Caps rows per query.
maxConcurrency	integer	How many queries to fetch at once.
includeRaw	boolean	Attach the source’s untouched record under raw.

📤 Output

One row per company, saved to the dataset. Every row also carries query, scrapedAt, and — when a lookup fails — an error explaining why (never silently dropped, never billed).

Field	Description
url	Url
cin	Cin
name	Name
status	active / inactive / dissolved
companyClass	Company Class
incorporationDate	Incorporation Date
incorporationYear	Incorporation Year
ageYears	Age Years
email	Email
registeredAddress	Registered Address
registeredState	Registered State
registeredPincode	Registered Pincode
currency	Currency
paidUpCapital	Paid Up Capital
paidUpCapitalCr	Paid Up Capital Cr
authorisedCapital	Authorised Capital
authorisedCapitalCr	Authorised Capital Cr
operatingRevenueRange	Operating Revenue Range
revenueFyEnd	Revenue Fy End
ebitdaChangePct	Ebitda Change Pct
networthChangePct	Networth Change Pct
agm	Agm
lastAgmDate	Last Agm Date
directors	Directors
directorsCount	Directors Count
directorsText	Directors Text
balanceSheet	Balance Sheet
balanceSheetText	Balance Sheet Text
chargesCount	Charges Count
subsidiariesCount	Subsidiaries Count
subsidiaries	Subsidiaries
subsidiariesText	Subsidiaries Text
locationsCount	Locations Count
locations	Locations
description	Description
matched	Matched
source	Source

💼 Use cases

1. India B2B lead lists — active Indian companies by name. Input: name searches. Output: entities + address. Use: a ready sales list.

2. Firmographic enrichment — attach CIN, form and date to a company. Input: CINs. Output: the MCA record. Use: enrich a CRM.

3. KYB / due diligence — verify an Indian company by CIN. Input: the CIN or name. Output: the canonical MCA record. Use: confirm existence and status.

🔗 Integration

JavaScript / Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('foxlabs/indian-company-data').call({"queries":["undefined"],"maxResultsPerQuery":50});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')
run = client.actor('foxlabs/indian-company-data').call(run_input={"queries":["undefined"],"maxResultsPerQuery":50})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

Automation (n8n / Zapier / Make): schedule or webhook → HTTP request to the actor API with your queries → handle the JSON dataset → push to a sheet, CRM or dashboard.

📊 Pricing

Pay-per-event: per delivered record. Empty or failed lookups are never billed. View current pricing.

❓ FAQ

Do I need an account, login or API key? No. This reads the Indian Ministry of Corporate Affairs (MCA) registry (open data).

What do I search by? Company names or CINs.

How current is the data? Every run queries the source live, so results are as fresh as the registry.

What identifiers are included? The Corporate Identification Number (CIN), status, legal form, incorporation date and registered office address from the MCA.

Can I export to CSV / Excel / JSON? Yes — directly from the Apify dataset.

🐛 Troubleshooting

• Fewer rows than expected — raise maxResultsPerQuery, or refine the name.
• A name returns an unexpected entity — it matched a similar registered name; search the exact registry ID.
• No rows for a name — try the entity’s exact legal name or its registry ID.

⚖️ Is it legal to scrape this data?

This actor reads a public government business registry published as open data. Results can still contain personal data (e.g. a person’s name); personal data is protected by the GDPR and similar laws, so only process it with a legitimate basis. See Apify’s blog post on the legality of web scraping.

🤝 Support & contact

• 🌐 Website: data.foxlabs.com.tr
• 📧 Email: info@foxlabs.com.tr
• 🐛 Issues: open a ticket in the Actor’s Issues tab
• 🧰 More clean B2B data actors: Fox Labs on Apify

Changelog

0.2 — 2026-09-07

• Dropped empty-promise columns. Removed pan, charges, chargesText — Indian Ministry of Corporate Affairs (MCA) registry (open data) does not carry them, so they were shipped as always-null columns. Only fields this source actually fills are now emitted.
• Enabled AI-agent payments (x402) + rebuilt the README to the full standard (What-is / when, AI-agents + x402 agentic payments + MCP, Overview, Features, Use cases, Integration, FAQ, Troubleshooting, Support & contact).

0.0

• Initial release: data from the Indian Ministry of Corporate Affairs (MCA) registry (open data) by name or registry ID.