SEBI Registered Intermediaries Scraper (India)

Here is one real result, with every field the actor returns:

{
  "category": "Investment Adviser",
  "name": "1 Finance Private Limited",
  "registrationNo": "INA000017523",
  "contactPerson": "Mohan Kumar",
  "email": "compliance@1finance.co.in",
  "telephone": "00007738942481",
  "fax": "00007738942481",
  "address": "Marwadi Financial Plaza Nana Mava Main Road, Off 150 Feet Ring Road",
  "city": "RAJKOT",
  "state": "GUJARAT",
  "pincode": "360001",
  "country": null,
  "correspondenceAddress": "Unit No B- 1101/1102, 11th Floor B Wing, Lotus Corporate Park Off Western Express Highway Goregaon (E)",
  "correspondenceEmail": null,
  "correspondenceTelephone": null,
  "correspondenceCity": "MUMBAI",
  "correspondenceState": "MAHARASHTRA",
  "correspondencePincode": "400063",
  "exchangeName": null,
  "tradeName": null,
  "validityFrom": "Dec 22, 2022",
  "validityTo": "Perpetual",
  "isActive": true,
  "sourceUrl": "https://www.sebi.gov.in/sebiweb/other/OtherAction.do?doRecognisedFpi=yes&intmId=13",
  "source": "SEBI (Securities and Exchange Board of India) registered intermediaries",
  "observedAt": "2026-08-11T11:12:45.208Z"
}

The most complete SEBI registered intermediaries scraper available. It returns every field the official SEBI register exposes for each intermediary, including contact person, email, phone, registered and correspondence addresses, plus a derived isActive flag, across 25+ intermediary categories, so you get contactable leads without extra parsing.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor downloads the official SEBI (Securities and Exchange Board of India) register for each intermediary category you request, parses every row, applies the filters you pass as input, and writes one normalized record per intermediary to the run's dataset. Each record carries the intermediary name, SEBI registration number, contact person, email, phone, fax, registered address, and correspondence address. Registration validity is parsed into validityFrom, validityTo, and a derived boolean isActive (true when the registration is perpetual or not yet expired).

You can pull several categories in one run (investment advisers, research analysts, brokers, mutual funds, portfolio managers, credit rating agencies, custodians, and more) and filter by name, state, city, registration number, or active status.

Quickstart

Open the actor, paste this into the input, and press Run. It returns up to 50 SEBI-registered investment advisers.

{
  "categories": ["investment_adviser"],
  "maxRecords": 50
}

Add names, states, cities, or registrationNos to filter. Set activeOnly to true to keep only currently valid registrations. Pass multiple categories to aggregate them in one run.

Input reference

Field	Type	Required	Default	Description
categories	string[]	no	["investment_adviser"]	SEBI categories to scrape. Options include investment_adviser, research_analyst, merchant_bankers, portfolio_managers, stock_brokers_equity, mutual_funds, alternative_investment_funds, credit_rating_agencies, custodians, debenture_trustees, rta, fpi, depository_participants_nsdl, depository_participants_cdsl, reit, infrastructure_investment_trusts, and more. A raw SEBI intmId number also works.
names	string[]	no	(empty)	One or more intermediary names or partial names to filter by.
states	string[]	no	(empty)	Keep only intermediaries in these states, for example Maharashtra, Delhi, Gujarat.
cities	string[]	no	(empty)	Keep only intermediaries in these cities, for example Mumbai, Bengaluru.
registrationNos	string[]	no	(empty)	Filter by SEBI registration number or a prefix, for example INA, INH, INZ.
activeOnly	boolean	no	false	Only return intermediaries whose registration is currently valid (perpetual or not yet expired).
maxRecords	integer	no	50	Maximum number of intermediaries to collect.

Filters combine with logical AND. Records are sorted alphabetically by name.

Output reference

One dataset item per intermediary. Types: string, boolean, or null when the source value is absent.

Field	Type	Description
category	string	SEBI category label, for example Investment Adviser.
name	string	Intermediary name.
registrationNo	string	SEBI registration number (unique per registration).
contactPerson	string	Named contact person, or null.
email	string	Contact email, or null.
telephone	string	Contact telephone, or null.
fax	string	Fax number, or null.
address	string	Registered address.
city	string	Registered address city.
state	string	Registered address state.
pincode	string	Registered address PIN code.
country	string	Country, or null.
correspondenceAddress	string	Correspondence address, or null.
correspondenceEmail	string	Correspondence email, or null.
correspondenceTelephone	string	Correspondence telephone, or null.
correspondenceCity	string	Correspondence city, or null.
correspondenceState	string	Correspondence state, or null.
correspondencePincode	string	Correspondence PIN code, or null.
exchangeName	string	Exchange name (for broker categories), or null.
tradeName	string	Trade name, or null.
validityFrom	string	Registration validity start, for example Dec 22, 2022.
validityTo	string	Registration validity end, or Perpetual.
isActive	boolean	true when the registration is perpetual or not yet expired, false when expired, null if it cannot be parsed.
sourceUrl	string	SEBI list page URL for the category.
source	string	Constant source label.
observedAt	string	ISO 8601 timestamp of when the record was collected.

On a failed run, a single item with a populated error field is written instead, and it is not charged.

Example output record

Real record from a live run (input {"categories": ["investment_adviser"], "maxRecords": 50}):

{
  "category": "Investment Adviser",
  "name": "1 Finance Private Limited",
  "registrationNo": "INA000017523",
  "contactPerson": "Mohan Kumar",
  "email": "compliance@1finance.co.in",
  "telephone": "00007738942481",
  "fax": "00007738942481",
  "address": "Marwadi Financial Plaza Nana Mava Main Road, Off 150 Feet Ring Road",
  "city": "RAJKOT",
  "state": "GUJARAT",
  "pincode": "360001",
  "country": null,
  "correspondenceAddress": "Unit No B- 1101/1102, 11th Floor B Wing, Lotus Corporate Park Off Western Express Highway Goregaon (E)",
  "correspondenceCity": "MUMBAI",
  "correspondenceState": "MAHARASHTRA",
  "correspondencePincode": "400063",
  "validityFrom": "Dec 22, 2022",
  "validityTo": "Perpetual",
  "isActive": true,
  "sourceUrl": "https://www.sebi.gov.in/sebiweb/other/OtherAction.do?doRecognisedFpi=yes&intmId=13",
  "source": "SEBI (Securities and Exchange Board of India) registered intermediaries",
  "observedAt": "2026-08-11T11:12:45.208Z"
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~sebi-registered-intermediaries-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"categories":["research_analyst"],"states":["Maharashtra"],"activeOnly":true,"maxRecords":100}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~sebi-registered-intermediaries-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"categories":["merchant_bankers","portfolio_managers"],"maxRecords":500}'

Apify CLI:

apify call scrapers_lat/sebi-registered-intermediaries-scraper \
  --input '{"categories":["investment_adviser"],"maxRecords":50}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per intermediary returned (result event). See the pricing tab for the current per-result price.
• No charge on failure. If a run errors, the actor writes a single item with a populated error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 records per run. Upgrade for higher maxRecords.

FAQ and troubleshooting

A run returned 0 records. Why? Your filters (name, state, city, registration number, or activeOnly) removed every row. Loosen them and try again. Zero-result runs are not charged.

Which categories can I scrape? Investment advisers, research analysts, merchant bankers, portfolio managers, several broker categories, mutual funds, alternative investment funds, credit rating agencies, ESG rating providers, debenture trustees, custodians, registrars and share transfer agents, depository participants, REITs, InvITs, FPIs, and more. Pass one or many in categories.

How do I get only currently registered intermediaries? Set activeOnly to true. The isActive flag is derived from the registration validity end date (Perpetual counts as active).

Why is email or contactPerson null for some rows? SEBI publishes these only when the intermediary provided them. Missing source values are returned as null, never invented.

Is this an official SEBI tool? No. This actor is independent and has no affiliation with SEBI. It reads only data that SEBI publishes in its public intermediary register.

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Independent tool, not affiliated with SEBI or the Government of India. Accesses only publicly available SEBI intermediary register data.