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India SEBI Enforcement Orders Scraper

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from $67.00 / 1,000 enforcement order deltas

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India SEBI Enforcement Orders Scraper

India SEBI Enforcement Orders Scraper

Scrape India SEBI enforcement orders: entity, order type, penalty, date and PDF link. Every run returns the current records as a dataset. Optional watch mode returns only what changed since your last run. Pay per result.

Pricing

from $67.00 / 1,000 enforcement order deltas

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NexGen Watch

NexGen Watch

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🚨 India SEBI Enforcement Orders Scraper

Scrape India SEBI enforcement orders: entity, order type, penalty, date and PDF link. Run it once and you get the current records as a dataset β€” that is the default. Turn on watch mode and a scheduled run returns only what changed since the last run (see Optional: run it on a schedule).

SEBI enforcement orders as they are listed: adjudication orders, Chairman/Member orders, settlement orders and insider-trading orders, keyed on the source-native order id. LISTING SCOPE: date, order class, title and document link as published. It does not open or interpret the order document.

Output is one enforcement_order_record row per result; billing is pay-per-event, the value event being one enforcement order delta (a $0.02 start fee per run, then $0.10 per enforcement order delta plus one $0.10 source check per run that reads the source). Source: www.sebi.gov.in.

No login, no API key and no CAPTCHA solving are involved: the source is read logged-out with an identified contact User-Agent.

Who buys this

Buyers usually search for SEBI orders or SEBI enforcement.

  • Compliance, KYC and AML teams checking SEBI orders.
  • Legal and risk teams monitoring SEBI enforcement for clients and counterparties.
  • Journalists and researchers tracking regulatory action.

πŸ“Š Sample Output

India SEBI Enforcement Orders Scraper sample output β€” a table of real enforcement order delta rows (order_id, order_class, order_date_text, order_date) from run XtDeh7R7IBbxPH0od on build 0.1.31

Real rows from run XtDeh7R7IBbxPH0od on build 0.1.31 (2026-09-28), the same input as the Quick start below β€” every value is as the source published it (emails masked, long text shortened):

order_idorder_classorder_date_textorder_datetitledocument_url
103309adjudicationAug 03, 20262026-08-03Adjudication Order in the matter of Decillion Finance Limitedhttps://www.sebi.gov.in/enforcement/orders/aug-2026/adjudication-order
103286adjudicationJul 31, 20262026-07-31Adjudication Order in respect of Bansal Integrated Services Private Lihttps://www.sebi.gov.in/enforcement/orders/jul-2026/adjudication-order
103248adjudicationJul 30, 20262026-07-30Adjudication Order in the matter of market manipulation using social mhttps://www.sebi.gov.in/enforcement/orders/jul-2026/adjudication-order
103103adjudicationJul 28, 20262026-07-28Adjudication Order in the matter of Madhav Copper Limitedhttps://www.sebi.gov.in/enforcement/orders/jul-2026/adjudication-order
103102adjudicationJul 28, 20262026-07-28Adjudication Order in the matter of market manipulation in the scrip ohttps://www.sebi.gov.in/enforcement/orders/jul-2026/adjudication-order
103018adjudicationJul 22, 20262026-07-22Adjudication Order in the matter of Eastern Financiers Limitedhttps://www.sebi.gov.in/enforcement/orders/jul-2026/adjudication-order
102994adjudicationJul 22, 20262026-07-22Adjudication Order in the matter of Front Running of trades of Axis Muhttps://www.sebi.gov.in/enforcement/orders/jul-2026/adjudication-order
102967adjudicationJul 20, 20262026-07-20Adjudication Order in the matter of Central Depository Services Indiahttps://www.sebi.gov.in/enforcement/orders/jul-2026/adjudication-order

The run finished with the status message: NORMAL: emitted 10 item(s)

βœ… What you get

One row per record delivered by India SEBI Enforcement Order Watch; in watch mode a delta row carries delta_type, before, after and changed_fields. Field names come from the actor's real output; fields the source does not publish are null.

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

  • record_key (string/null) β€” e.g. sebi:adjudication:103309
  • order_id (string/number/integer/boolean/null) β€” e.g. 103309
  • order_class (string/number/integer/boolean/null) β€” e.g. adjudication
  • order_date_text (string/number/integer/boolean/null) β€” e.g. Aug 03, 2026
  • order_date (string/number/integer/boolean/null) β€” e.g. 2026-08-03
  • title (string/number/integer/boolean/null) β€” e.g. Adjudication Order in the matter of Decillion Finance Limited
  • document_url (string/number/integer/boolean/null) β€” e.g. https://www.sebi.gov.in/enforcement/orders/aug-2026/adjudication-order-in-the-ma
  • scope_note (string/number/integer/boolean/null) β€” e.g. listing fields only; the order document is not opened or interpreted
  • record_type (string) β€” e.g. enforcement_order_record
  • delta_type (string/null) β€” null in every sample row
  • before (object/array/string/number/integer/boolean/null) β€” null in every sample row
  • after (object/array/string/number/integer/boolean/null) β€” null in every sample row
  • changed_fields (array/object/string/null) β€” null in every sample row
  • observed_at (string/null) β€” null in every sample row

βœ… What you get

  • record_key (string/null) β€” e.g. sebi:adjudication:103102
  • order_id (string/number/integer/boolean/null) β€” e.g. 103102
  • order_class (string/number/integer/boolean/null) β€” e.g. adjudication
  • order_date_text (string/number/integer/boolean/null) β€” e.g. Jul 28, 2026
  • order_date (string/number/integer/boolean/null) β€” e.g. 2026-07-28
  • title (string/number/integer/boolean/null) β€” e.g. Adjudication Order in the matter of market manipulation in the scrip of Akash In
  • document_url (string/number/integer/boolean/null) β€” e.g. https://www.sebi.gov.in/enforcement/orders/jul-2026/adjudication-order-in-the-ma
  • scope_note (string/number/integer/boolean/null) β€” e.g. listing fields only; the order document is not opened or interpreted
  • record_type (string) β€” e.g. enforcement_order_record
  • delta_type (string/null) β€” null in every sample row
  • before (object/array/string/number/integer/boolean/null) β€” null in every sample row
  • after (object/array/string/number/integer/boolean/null) β€” null in every sample row
  • changed_fields (array/object/string/null) β€” null in every sample row
  • observed_at (string/null) β€” null in every sample row

βœ… What you get

  • record_key (string/null) β€” e.g. sebi:adjudication:103018
  • order_id β€” e.g. 103018
  • order_class β€” e.g. adjudication
  • order_date_text β€” e.g. Jul 22, 2026
  • order_date β€” e.g. 2026-07-22
  • title β€” e.g. Adjudication Order in the matter of Eastern Financiers Limited
  • document_url β€” e.g. https://www.sebi.gov.in/enforcement/orders/jul-2026/adjudication-order-in-the-ma
  • scope_note β€” e.g. listing fields only; the order document is not opened or interpreted
  • record_type (string) β€” e.g. enforcement_order_record
  • delta_type (string/null) β€” null in every sample row

Every run also writes a RUN_RECEIPT record to its key-value store with the source checks it made and the counts it charged β€” diagnostics never land in the paid dataset.

βš™οΈ Sample inputs

1. Quick start β€” the Store example (this is what the sample above came from)

{
"order_classes": [
"adjudication"
],
"pages": 1,
"title_contains": [],
"watch_mode": false,
"baseline_id": "default",
"max_items": 10
}

The sample run charged exactly: 1 Γ— $0.02 apify-actor-start + 1 Γ— $0.10 source-check + 0 Γ— $0.10 enforcement-order-delta = $0.12 on the Free tier β€” snapshot preview rows are delivered unbilled; only the source check and the start fee were charged.

2. A smaller, narrowed run

{
"order_classes": [
"adjudication"
],
"pages": 1,
"title_contains": [],
"watch_mode": false,
"baseline_id": "default",
"max_items": 5
}

Caps the run at 5 rows; same billing shape as the sample run above.

3. Optional watch mode (changes only, for a schedule)

{
"order_classes": [
"adjudication"
],
"pages": 1,
"title_contains": [],
"watch_mode": true,
"baseline_id": "default",
"max_items": 10
}

The first run seeds a private baseline and emits zero deltas; every later run emits one row per change, billed at $0.10 each plus the $0.10 source check; billed deltas are capped at 500 per run.

🧾 JSON sample record

One real record from run XtDeh7R7IBbxPH0od, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_key": "sebi:adjudication:103309",
"order_id": "103309",
"order_class": "adjudication",
"order_date_text": "Aug 03, 2026",
"order_date": "2026-08-03",
"title": "Adjudication Order in the matter of Decillion Finance Limited",
"document_url": "https://www.sebi.gov.in/enforcement/orders/aug-2026/adjudication-order-in-the-matter-of-decillion-finance-limited_103309.html",
"scope_note": "listing fields only; the order document is not opened or interpreted",
"record_type": "enforcement_order_record",
"schema_version": "1.0",
"output_mode": "preview",
"preview_cap": 25,
"preview_truncated": 0
}

πŸ”§ How it works

Source. The actor reads www.sebi.gov.in β€” endpoints: https://www.sebi.gov.in/sebiweb/ajax/home/getnewslistinfo.jsp, https://www.sebi.gov.in/sebiweb/home/HomeAction.do. Public pages and feeds only; nothing behind a login.

Transport. Plain HTTPS from the Apify platform, no proxy. Every request carries an identified contact User-Agent.

Watch semantics. Snapshot mode (watch_mode: false) returns a preview capped at 25 records. Watch mode keys every record on a source-native id, stores a private baseline in a named key-value store, and on each later run emits one delta row per change (new / changed / removed). A blocked fetch is never diffed, so a source outage cannot show up as a mass removal.

Terminal states. A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape β€” the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

Charging. Each enforcement order delta is charged at the moment it is pushed (enforcement-order-delta); a row that fails to charge is not delivered, so the dataset count always equals the charged count. One source-check is charged per run that actually read the source.

πŸ”§ How it works

πŸ”§ How it works

Source

SEBI enforcement order listings (public, logged-out)

Public, logged-out only β€” no API key, login, cookie or CAPTCHA.

Snapshot mode is a PREVIEW

watch_mode: false returns at most 25 records, hard-capped in code regardless of max_items, labeled output_mode: "preview". This cell sells change detection, not bulk record export.

Watch semantics

First watch run stores a private baseline and emits zero deltas. Later runs emit NEW / CHANGED / REMOVED keyed on the source-native id with before / after and changed_fields.

Source cadence

SEBI publishes orders with a real lag β€” on 25 July 2026 the newest adjudication order was dated 25 May 2026. An empty recent window is the source's cadence.

Terminal states

NORMAL Β· SUCCEEDED-0: GENUINE_EMPTY Β· SUCCEEDED-0 (no change) Β· PARTIAL Β· BLOCKED. A zero with no evidence FAILS loud rather than exiting 0 quietly.

Preview vs Watch

  • Preview (watch_mode: false): returns the current records as a capped snapshot, for a one-off look. Billed one source-check; no delta value event.
  • Watch (watch_mode: true, the change feed): the first run seeds the baseline and emits 0 records (billed one source-check only); later runs emit one delta per change, each billed the value event. A run with no changes emits 0 and bills only the source-check.

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

⏰ Optional: run it on a schedule

A single run returns the current records. If you also want to be told what changed over time, open the actor in Apify Console β†’ Schedules β†’ Create new, add this actor with the watch-mode input above (watch_mode: true) so each run returns only the changes, and pick a cadence:

  • Daily β€” 0 7 * * * (07:00 UTC): catch changes within a day.
  • Weekly β€” 0 7 * * 1: a Monday digest.

The baseline persists in a named key-value store between runs, so every scheduled run compares against the last one; use a different baseline_id for independent watches. Schedules can also POST results to a webhook (Console β†’ Integrations).

πŸ’° Pricing example

EventFreeBronzeSilverGold
Actor Start (apify-actor-start)$0.02$0.02$0.02$0.02
Source check (source-check)$0.10$0.09$0.08$0.067
Enforcement Order Delta (enforcement-order-delta)$0.10$0.09$0.08$0.067

Worked at the live Free-tier price (watch mode, one delta per change):

  • 8 enforcement order deltas: $0.02 start + $0.10 source check + 8 Γ— $0.10 = $0.92
  • 25 enforcement order deltas: $0.02 start + $0.10 source check + 25 Γ— $0.10 = $2.62
  • 400 enforcement order deltas: $0.02 start + $0.10 source check + 400 Γ— $0.10 = $40.12

A run that delivers zero rows charges the $0.02 start fee plus the $0.10 source check (the source was read and reported empty). A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 1024 MB.

Yield on the sample run: NORMAL: emitted 10 item(s). max_items is a hard ceiling on what is delivered and billed, never a target. Snapshot output is capped at 25 records regardless of the cap you set; watch mode is the full feed.

This actor reads public, logged-out pages and feeds published by www.sebi.gov.in. It collects only what the source publishes to any visitor, identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. The source (www.sebi.gov.in) is read logged-out; the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input (in watch mode the first run always seeds the baseline and returns zero deltas); BLOCKED means the source refused and the run failed without billing a value event β€” retry later or narrow the input. A zero-row run bills the start fee plus one source check.

Q: How many rows can one run return?
A: Up to max_items (default 400); snapshot previews stop at 25. Raise the cap for a bigger run; you pay per delivered row.

Q: What does watch mode remember between runs?
A: A private baseline of source-native record ids in a named key-value store (baseline_id names it, so several independent watches can coexist). Each later run diffs the live source against it and emits only changes.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs except the watch baseline. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other enforcement and sanctions scrapers actors?
A: Same output shape and billing model; this one covers www.sebi.gov.in. The siblings under Related Actors cover the other sources or slices β€” run several on one schedule for a combined feed.

πŸ†˜ Troubleshooting

  • Run FAILED with BLOCKED β†’ the source refused the request or changed its page shape β†’ nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
  • Status says CAPPED β†’ your cap (max_items) was reached β†’ raise it for a bigger run.
  • Input validation error on start β†’ a field is outside the schema's allowed values β†’ start from the Quick start block and change one field at a time.
  • Run TIMED-OUT β†’ a very wide request on a slow day β†’ raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.
  • First watch run shows no deltas β†’ expected: it seeds the baseline; changes appear from the second run.
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  • 🏒 About NexGen Watch β€” NexGen Watch is a catalog of more than 300 public data actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

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