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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 — 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). Built by NexGen Watch on Apify.

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.

📊 Sample Output

India SEBI Enforcement Orders Scraper sample output — 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 — 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)

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

✅ What you get

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

✅ What you get

  • record_key (string/null) — e.g. sebi:adjudication:103018
  • order_id — e.g. 103018
  • order_class — e.g. adjudication
  • order_date_text — e.g. Jul 22, 2026
  • order_date — e.g. 2026-07-22
  • title — e.g. Adjudication Order in the matter of Eastern Financiers Limited
  • document_url — e.g. https://www.sebi.gov.in/enforcement/orders/jul-2026/adjudication-order-in-the-ma
  • scope_note — e.g. listing fields only; the order document is not opened or interpreted
  • record_type (string) — e.g. enforcement_order_record
  • delta_type (string/null) — 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 — diagnostics never land in the paid dataset.

⚙️ Sample inputs

1. Quick start — 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 × $0.02 apify-actor-start + 1 × $0.10 source-check + 0 × $0.10 enforcement-order-delta = $0.12 on the Free tier — 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
}

🔧 How it works

Source. The actor reads www.sebi.gov.in — 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 — 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.

🔧 How it works

🔧 How it works

Source

SEBI enforcement order listings (public, logged-out)

Public, logged-out only — 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 — 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 · SUCCEEDED-0: GENUINE_EMPTY · SUCCEEDED-0 (no change) · PARTIAL · 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 → Schedules → 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 — 0 7 * * * (07:00 UTC): catch changes within a day.
  • Weekly — 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 → Integrations).

💰 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 × $0.10 = $0.92
  • 25 enforcement order deltas: $0.02 start + $0.10 source check + 25 × $0.10 = $2.62
  • 400 enforcement order deltas: $0.02 start + $0.10 source check + 400 × $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 — 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 — run several on one schedule for a combined feed.

🆘 Troubleshooting

  • Run FAILED with BLOCKED → the source refused the request or changed its page shape → 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 → your cap (max_items) was reached → raise it for a bigger run.
  • Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
  • Run TIMED-OUT → a very wide request on a slow day → 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 → expected: it seeds the baseline; changes appear from the second run.
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  • 🏢 About NexGen Watch — 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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