📣 Taiwan MOPS Material Information Scraper

Scrape Taiwan MOPS material information disclosures: company, subject, date and details. 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).

Taiwan listed-company material information (重大訊息) as published to the MOPS open data feed: subject, statute clause and event date, keyed on the source-native company code plus announcement timestamp.

Output is one disclosure_record row per result; billing is pay-per-event, the value event being one disclosure delta (a $0.02 start fee per run, then $0.15 per disclosure delta plus one $0.10 source check per run that reads the source). Source: openapi.twse.com.tw.

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 MOPS or Taiwan company announcements.

• Investors, analysts and IR teams following MOPS.
• Compliance and data teams tracking Taiwan company announcements for a watchlist of issuers.
• Researchers and journalists building dated disclosure records.

📊 Sample Output

Real rows from run gHOrZG62ySNb3FdKz on build 0.1.28 (2026-09-28), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

company_code	company_name	announce_date_roc	announce_date	fact_date	subject
6949	沛爾生醫*-創	1150927	2026-09-27	2026-07-13	公告本公司股票面額由「新台幣10元」變更為「新台幣0.5元」， 公告期間：115年08月06日至115年11月05日。
1721	國慶科技	1150927	2026-09-27	2026-06-29	公告本公司名稱由「三晃股份有限公司」更名為 「國慶科技股份有限公司」 ，公告期間：115年07月01日至115年9月30日。
2072	世紀風電	1150927	2026-09-27	2026-08-24	公告本公司名稱由「世紀離岸風電設備股份有限公司」更名 為「世紀能源設備股份有限公司」，公告期間：115年8月26日至 115年11月25日。
2509	全坤建	1150927	2026-09-27	2026-09-26	公告本公司「全坤御峰」工地火災事件說明

The run finished with the status message: NORMAL: emitted 4 item(s)

✅ What you get

One row per record delivered by Taiwan MOPS Material Information 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. mops:6949:1150927:70004
• company_code (string/number/integer/boolean/null) — e.g. 6949
• company_name (string/number/integer/boolean/null) — e.g. 沛爾生醫*-創
• announce_date_roc (string/number/integer/boolean/null) — e.g. 1150927
• announce_date (string/number/integer/boolean/null) — e.g. 2026-09-27
• announce_time (string/number/integer/boolean/null) — e.g. 70004
• fact_date_roc (string/number/integer/boolean/null) — e.g. 1150713
• fact_date (string/number/integer/boolean/null) — e.g. 2026-07-13
• subject (string/number/integer/boolean/null) — e.g. 公告本公司股票面額由「新台幣10元」變更為「新台幣0.5元」， 公告期間：115年08月06日至115年11月05日。
• clause (string/number/integer/boolean/null) — e.g. 第51款
• detail (string/number/integer/boolean/null) — e.g. 1.事實發生日：民國115年07月13日 2.公司名稱：沛爾生技醫藥股份有限公司 3.與公司關係(請輸入本公司或子公司)：本公司 4.相互持股比例：不適用 5.
• report_date_roc (string/number/integer/boolean/null) — e.g. 1150928
• record_type (string) — e.g. disclosure_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. mops:1721:1150922:70003
• company_code (string/number/integer/boolean/null) — e.g. 1721
• company_name (string/number/integer/boolean/null) — e.g. 國慶科技
• announce_date_roc (string/number/integer/boolean/null) — e.g. 1150922
• announce_date (string/number/integer/boolean/null) — e.g. 2026-09-22
• announce_time (string/number/integer/boolean/null) — e.g. 70003
• fact_date_roc (string/number/integer/boolean/null) — e.g. 1150629
• fact_date (string/number/integer/boolean/null) — e.g. 2026-06-29
• subject (string/number/integer/boolean/null) — e.g. 公告本公司名稱由「三晃股份有限公司」更名為 「國慶科技股份有限公司」 ，公告期間：115年07月01日至115年9月30日。
• clause (string/number/integer/boolean/null) — e.g. 第51款
• detail (string/number/integer/boolean/null) — e.g. 1.事實發生日：民國115年06月29日 2.公司名稱：國慶科技股份有限公司(原名：三晃股份有限公司) 3.與公司關係(請輸入本公司或子公司)：本公司 4.相互
• report_date_roc (string/number/integer/boolean/null) — e.g. 1150923
• record_type (string) — e.g. disclosure_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. mops:1721:1150916:70003
• company_code — e.g. 1721
• company_name — e.g. 國慶科技
• announce_date_roc — e.g. 1150916
• announce_date — e.g. 2026-09-16
• announce_time — e.g. 70003
• fact_date_roc — e.g. 1150629
• fact_date — e.g. 2026-06-29
• subject — e.g. 公告本公司名稱由「三晃股份有限公司」更名為 「國慶科技股份有限公司」 ，公告期間：115年07月01日至115年9月30日。
• clause — e.g. 第51款
• detail — e.g. 1.事實發生日：民國115年06月29日 2.公司名稱：國慶科技股份有限公司(原名：三晃股份有限公司) 3.與公司關係(請輸入本公司或子公司)：本公司 4.相互
• report_date_roc — e.g. 1150917
• record_type (string) — e.g. disclosure_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)

{
  "company_codes": [],
  "subject_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 × $0.15 disclosure-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

{
  "company_codes": [],
  "subject_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)

{
  "company_codes": [],
  "subject_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 $0.15 each plus the $0.10 source check; billed deltas are capped at 500 per run.

🧾 JSON sample record

One real record from run gHOrZG62ySNb3FdKz, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "record_key": "mops:6949:1150927:70004",
  "company_code": "6949",
  "company_name": "沛爾生醫*-創",
  "announce_date_roc": "1150927",
  "announce_date": "2026-09-27",
  "announce_time": "70004",
  "fact_date_roc": "1150713",
  "fact_date": "2026-07-13",
  "subject": "公告本公司股票面額由「新台幣10元」變更為「新台幣0.5元」， 公告期間：115年08月06日至115年11月05日。",
  "clause": "第51款",
  "detail": "1.事實發生日：民國115年07月13日 2.公司名稱：沛爾生技醫藥股份有限公司 3.與公司關係(請輸入本公司或子公司)：本公司 4.相互持股比例：不適用 5.發生緣由： (1)公司面額變更核准日期/事實發生日：民國115年07月13日 (2)公司面額變更核准文號：經授商字第經授商字第11530095510號號函 (3)董事會決議通過換股計畫書日期：民國115年08月06日 (4)變更前面額：新台幣10.00 (5)變更後面額：新台幣0.50 (6)新股票上市買賣日及舊股票終",
  "report_date_roc": "1150928",
  "record_type": "disclosure_record",
  "schema_version": "1.0",
  "output_mode": "preview",
  "preview_cap": 25,
  "preview_truncated": 0
}

🔧 How it works

Source. The actor reads openapi.twse.com.tw — endpoints: https://openapi.twse.com.tw/v1/opendata/t187ap04_L. 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 disclosure delta is charged at the moment it is pushed (disclosure-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

TWSE MOPS open data t187ap04_L (public, logged-out)

• https://openapi.twse.com.tw/v1/opendata/t187ap04_L

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.

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.

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

Event	Free	Bronze	Silver	Gold
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
Disclosure Delta (disclosure-delta)	$0.15	$0.135	$0.12	$0.1005

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

• 4 disclosure deltas: $0.02 start + $0.10 source check + 4 × $0.15 = $0.72
• 25 disclosure deltas: $0.02 start + $0.10 source check + 25 × $0.15 = $3.87
• 300 disclosure deltas: $0.02 start + $0.10 source check + 300 × $0.15 = $45.12

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 4 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.

⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by openapi.twse.com.tw. 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 (openapi.twse.com.tw) 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 300); 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 market announcement scrapers actors?
A: Same output shape and billing model; this one covers openapi.twse.com.tw. 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.

🔗 Related Actors

• Korea DART Corporate Filings Scraper — Scrape Korean corporate filings from DART: company, report type, filing date and link. Every run returns the current records as a dataset. Optional w…
• Company Newsroom Press Releases Scraper — Scrape the press releases a company's own newsroom or investor-relations feed currently lists: publisher, headline, summary, date and link, from as m…
• SGX Financial Reports and Disclosures Scraper — Scrape SGX company financial reports and disclosure documents: company, document type, date and PDF link. Every run returns the current records as a…
• TMX New Listings & Suspensions Scraper — Official TMX exchange events — new TSX/TSXV company listings and reviews/suspensions (delisting reviews, trading suspensions). Facts-only from the pu…
• 🏢 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.

⭐ Found this useful?

If this actor saved you a manual check, a quick review on the Apify Store helps other teams find it. Feature request or a source that changed? Open it from the Issues tab — every one is read.