🔔 Latvia Annual-Report Financial Statements

One record per filed annual-report statement (company number, statement id, period, type, employees, currency) streamed from the 205 MB official CSV, bounded to your maxRecords — no full-file download.

Public, robots-honoured, keyless.

Output is one lv_financial_statement row per result; billing is pay-per-event, the value event being one registry record (a $0.02 start fee per run, then $0.02 per registry record). Source: data.gov.lv.

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 Latvia financial statements or Latvia company financials.

• Sales and lead-generation teams building lists from Latvia financial statements.
• KYB, onboarding and compliance teams checking Latvia company financials.
• Market researchers and data teams that need the official record as rows.

📊 Sample Output

Real rows from run rYAwqMIiU49KGpjx3 on build 0.1.10 (2026-09-18), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

file_id	legal_entity_registration_number	source_schema	period_start	period_end	created_at
16544390	40103504912	DokGPUIENv1	2016-01-01	2016-12-31	2020-10-30 23:33:27.773
16544392	40103466358	DokGPUIENv1	2016-01-01	2016-12-31	2020-10-30 23:33:31.502
16544401	40103476182	DokGPUIENv1	2016-01-01	2016-12-31	2020-10-30 23:33:34.353
16544404	40103863270	DokUGP2008v1	2015-01-21	2015-12-31	2020-10-30 23:33:37.364
16544411	40008010613	DokGPUIENv1	2016-01-01	2016-12-31	2020-10-30 23:33:40.692
16544413	40103693358	DokGPUIENv1	2016-01-01	2016-12-31	2020-10-30 23:33:43.794
16544422	40003770970	DokUGP2008v1	2015-01-01	2015-12-31	2020-10-30 23:33:46.868
16544424	40103458882	DokGPUIENv1	2016-01-01	2016-12-31	2020-10-30 23:33:49.818

The run finished with the status message: NORMAL: 50 unique rows (0 duplicates collapsed). billable=50

✅ What you get

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_type (string) — e.g. lv_financial_statement
• statement_id (string/null) — e.g. 709390
• file_id (string/null) — e.g. 16544390
• legal_entity_registration_number (string/null) — e.g. 40103504912
• statement_type (string/null) — e.g. UGP
• source_schema (string/null) — e.g. DokGPUIENv1
• year (string/null) — e.g. 2016
• period_start (string/null) — e.g. 2016-01-01
• period_end (string/null) — e.g. 2016-12-31
• employees (string/null) — e.g. 0
• rounded_to_nearest (string/null) — e.g. ONES
• currency (string/null) — e.g. EUR
• created_at (string/null) — e.g. 2020-10-30 23:33:27.773
• source (string/null) — e.g. latvia-financial-statements
• release_date (string/null) — null in every sample row
• source_url (string/null) — e.g. https://data.gov.lv/dati/dataset/8d31b878-536a-44aa-a013-8bc6b669d477/resource/2
• observed_at (string/null) — e.g. 2026-09-18T06:50:33Z
• terminal (string/integer/null) — null in every sample row
• reported_total (string/integer/null) — null in every sample row
• raw_seen (string/integer/null) — null in every sample row
• duplicates (string/integer/null) — null in every sample row
• unique_found (string/integer/null) — null in every sample row
• delivered (string/integer/null) — null in every sample row
• scope (string/integer/null) — null in every sample row
• note (string/integer/null) — null in every sample row

✅ What you get

• record_type (string) — e.g. lv_financial_statement
• statement_id (string/null) — e.g. 709390
• file_id (string/null) — e.g. 16544390
• legal_entity_registration_number (string/null) — e.g. 40103504912
• statement_type (string/null) — e.g. UGP
• source_schema (string/null) — e.g. DokGPUIENv1
• year (string/null) — e.g. 2016
• period_start (string/null) — e.g. 2016-01-01
• period_end (string/null) — e.g. 2016-12-31
• employees (string/null) — e.g. 0
• rounded_to_nearest (string/null) — e.g. ONES
• currency (string/null) — e.g. EUR
• created_at (string/null) — e.g. 2020-10-30 23:33:27.773
• source (string/null) — e.g. latvia-financial-statements
• release_date (string/null) — null in every sample row
• source_url (string/null) — e.g. https://data.gov.lv/dati/dataset/8d31b878-536a-44aa-a013-8bc6b669d477/resource/2
• observed_at (string/null) — e.g. 2026-09-18T06:15:46Z
• terminal (string/integer/null) — null in every sample row
• reported_total (string/integer/null) — null in every sample row
• raw_seen (string/integer/null) — null in every sample row
• duplicates (string/integer/null) — null in every sample row
• unique_found (string/integer/null) — null in every sample row
• delivered (string/integer/null) — null in every sample row
• scope (string/integer/null) — null in every sample row
• note (string/integer/null) — null in every sample row

What you get

One registry_record per entity, deduplicated on the source-native id. Fields the source does not publish are honest null. A run_receipt row carries the source URL, scope, reconciliation counts, and delivered/duplicate totals.

⚙️ Sample inputs

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

{
  "maxRecords": 10
}

The sample run charged exactly: 1 × $0.02 apify-actor-start + 50 × $0.02 registry_record = $1.02 on the Free tier — every delivered row was billed.

2. A smaller, narrowed run

{
  "maxRecords": 5
}

Caps the run at 5 rows — about $0.12 on the Free tier ($0.02 start + 5 × $0.02).

3. A full-size run

{
  "maxRecords": 2000
}

Up to 2000 rows (the schema default for maxRecords) — about $40.02 on the Free tier ($0.02 start + 2000 × $0.02) if the source has that many.

4. A filtered run

{
  "maxRecords": 10,
  "fieldMatch": {
    "statement_type": "UGP"
  }
}

Keeps only rows whose statement_type contains UGP (a value from the sample run above), matched case-insensitively after the source is read and before the maxRecords cap, so the cap counts matches and only delivered matches are billed. searchText does the same across every column. Zero matches end the run as EMPTY_SELECTION with no row charged — if the source has moved on since that sample run, pick a value you see in your own first run. The source is still read in full — this narrows what you receive and pay for, not what the source serves.

🧾 JSON sample record

One real record from run rYAwqMIiU49KGpjx3, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "record_type": "lv_financial_statement",
  "statement_id": "709390",
  "file_id": "16544390",
  "legal_entity_registration_number": "40103504912",
  "statement_type": "UGP",
  "source_schema": "DokGPUIENv1",
  "year": "2016",
  "period_start": "2016-01-01",
  "period_end": "2016-12-31",
  "employees": "0",
  "rounded_to_nearest": "ONES",
  "currency": "EUR",
  "created_at": "2020-10-30 23:33:27.773",
  "source": "latvia-financial-statements",
  "release_date": null,
  "source_url": "https://data.gov.lv/dati/dataset/8d31b878-536a-44aa-a013-8bc6b669d477/resource/27fcc5ec-c63b-4bfd-bb08-01f073a52d04/download/financial_statements.csv",
  "observed_at": "2026-09-18T06:50:33Z"
}

🔧 How it works

Source. The actor reads data.gov.lv — endpoints: https://data.gov.lv/dati/dataset/8d31b878-536a-44aa-a013-8bc6b669d477/. Public pages and feeds only; nothing behind a login.

Transport. Plain HTTPS from the Apify platform, no proxy. robots.txt is read first and a disallowed path is never fetched. Every request carries an identified contact User-Agent.

Charging. Each registry record is charged at the moment it is pushed (registry_record); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

🔧 How it works

How it behaves

The official financial_statements.csv is streamed row-by-row and stopped at maxRecords, so a run transfers only the leading bytes it needs. Header drift, a truncated read, or an HTML error page fail loud and charge nothing.

Source

https://data.gov.lv/dati/dataset/8d31b878-536a-44aa-a013-8bc6b669d477/resource/27fcc5ec-c63b-4bfd-bb08-01f073a52d04/download/financial_statements.csv

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

💰 Pricing example

Event	Free	Bronze	Silver	Gold
Actor Start (apify-actor-start)	$0.02	$0.02	$0.02	$0.02
Registry record (registry_record)	$0.02	$0.018	$0.016	$0.0134

Worked at the live Free-tier price:

• 8 registry records: $0.02 start + 8 × $0.02 = $0.18
• 25 registry records: $0.02 start + 25 × $0.02 = $0.52
• 2000 registry records: $0.02 start + 2000 × $0.02 = $40.02

A run that delivers zero rows charges the $0.02 start fee only. 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 4096 MB.

Yield on the sample run: NORMAL: 50 unique rows (0 duplicates collapsed). billable=50. maxRecords is a hard ceiling on what is delivered and billed, never a target.

⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by data.gov.lv. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), 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 (data.gov.lv) 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; 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 only.

Q: How many rows can one run return?
A: Up to maxRecords (default 2000). Raise the cap for a bigger run; you pay per delivered row.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs. 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 NexGen Watch actors actors?
A: Same output shape and billing model; this one covers data.gov.lv. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source and honours its robots rules; there is no per-buyer limit beyond your Apify plan's concurrency.

🆘 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 (maxRecords) 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.

🔗 Related Actors

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• Ireland CRO Financial Statement Filings — One record per CRO financial-statement FILING-INDEX row — company number, submission/effective/registered dates, accounts period, and the official PD…
• Latvia Company Registry (bulk) — One record per registered legal entity (registration code, name, register, type, lifecycle dates, address) streamed from the 128 MB official register…
• Lithuania Company Financial Statements Scraper — Scrape official Lithuanian company financial statements (Registrų centras JAR via data.gov.lt): balance-sheet and profit-statement lines with the rep…
• Lithuania Company Register Scraper — Scrape the official Lithuanian company register (Registrų centras JAR via data.gov.lt): company code, legal name, address, registration and deregistr…
• Missouri Active Alcohol Licenses — One record per associated-person row on each active Missouri alcohol licence (licence number + type, licensee, DBA name, premise address, county, and…
• 🏢 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?

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