🔔 Lithuania Company Financial Statements Scraper

One financial_statement_line per official Lithuanian financial-statement line (balance sheet + profit statement) — template, standard, line label, value, period, registration date and entity reference — from the Registrų centras JAR models on get.data.gov.lt. Taxonomy and template versions are preserved VERBATIM, never normalized away.

Public, robots-honoured.

Output is one lt_financial_statement_line row per result; billing is pay-per-event, the value event being one financial statement line (a $0.02 start fee per run, then $0.02 per financial statement line). Source: get.data.gov.lt.

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 Lithuania financial statements or Lithuanian company accounts.

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

📊 Sample Output

Real rows from run WRdm0AqMS4zlTXnN0 on build 0.1.11 (2026-09-28), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

statement_kind	entity_reference	form	status	template_name	standard_name
balance_sheet	6e956d29-80d7-4f20-8722-145e9a701155	cc5df44f-de10-47c4-a2b7-36191f606f26	5ef6b364-a5ff-47fb-8600-ff859214ef85	Mažųjų bendrijų finansinių ataskaitų rinkinys	BALANSAS (Sutrumpintas)
balance_sheet	cb0aca40-c83e-49ff-9bb7-4bab8a1e7879	cc5df44f-de10-47c4-a2b7-36191f606f26	5ef6b364-a5ff-47fb-8600-ff859214ef85	Mažųjų bendrijų finansinių ataskaitų rinkinys	BALANSAS (Neribotos civilinės atsakomybės juridinių asmenų ir mažųjų b
balance_sheet	84f1e4d3-e713-468c-9bcc-3fb8801f4882	5c444113-5081-4d88-b94d-782c0779bb89	5ef6b364-a5ff-47fb-8600-ff859214ef85	Mažų ir labai mažų įmonių, netaikančių išimčių, finansinių ataskaitų r	BALANSAS (Sutrumpintas)
balance_sheet	e2df4fb3-82ac-458f-9a5a-514c57a10f73	5c444113-5081-4d88-b94d-782c0779bb89	5ef6b364-a5ff-47fb-8600-ff859214ef85	Mažų ir labai mažų įmonių, netaikančių išimčių, finansinių ataskaitų r	BALANSAS (Sutrumpintas)
balance_sheet	cfe2c7ca-206d-42ed-a1c7-3ec407f62562	cc5df44f-de10-47c4-a2b7-36191f606f26	5ef6b364-a5ff-47fb-8600-ff859214ef85	Mažųjų bendrijų finansinių ataskaitų rinkinys	BALANSAS (Neribotos civilinės atsakomybės juridinių asmenų ir mažųjų b
balance_sheet	7fc83496-1b3e-49c2-b5d3-0806e5d0c91a	cc5df44f-de10-47c4-a2b7-36191f606f26	5ef6b364-a5ff-47fb-8600-ff859214ef85	Mažų ir labai mažų įmonių, netaikančių išimčių, finansinių ataskaitų r	BALANSAS (Sutrumpintas)
balance_sheet	67ba795a-710a-41d1-af03-da694eb45d2a	c06e2c5e-bbc3-4654-82c7-6fd326316feb	5ef6b364-a5ff-47fb-8600-ff859214ef85	Pelno nesiekiančių JA finansinių ataskaitų rinkinys	FINANSINĖS BŪKLĖS ATASKAITA
balance_sheet	10ec18dc-ed79-4c55-87ae-c534a291ad51	5c444113-5081-4d88-b94d-782c0779bb89	5ef6b364-a5ff-47fb-8600-ff859214ef85	Mažųjų bendrijų finansinė atskaitomybė	BALANSAS (mažųjų bendrijų)

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. lt_financial_statement_line
• statement_kind (string/null) — e.g. balance_sheet
• entity_reference (string/null) — e.g. 6e956d29-80d7-4f20-8722-145e9a701155
• form (string/null) — e.g. cc5df44f-de10-47c4-a2b7-36191f606f26
• status (string/null) — e.g. 5ef6b364-a5ff-47fb-8600-ff859214ef85
• template_id (string/null) — e.g. FS0422
• template_name (string/null) — e.g. Mažųjų bendrijų finansinių ataskaitų rinkinys
• standard_id (string/null) — e.g. BST124
• standard_name (string/null) — e.g. BALANSAS (Sutrumpintas)
• line_type_id (string/null) — e.g. BSLT00021
• line_name (string/null) — e.g. TRUMPALAIKIS TURTAS
• value (string/null) — e.g. 13532
• period_from (string/null) — e.g. 2023-01-01
• period_to (string/null) — e.g. 2023-12-31
• registration_date (string/null) — e.g. 2024-04-26
• source (string/null) — e.g. lithuania-financial-statement-lines
• release_date (string/null) — null in every sample row
• source_url (string/null) — e.g. https://get.data.gov.lt/datasets/gov/rc/jar/
• observed_at (string/null) — e.g. 2026-09-28T06:35:59Z
• 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
• license (string/integer/null) — null in every sample row
• attribution (string/integer/null) — null in every sample row

✅ What you get

• record_type (string) — e.g. lt_financial_statement_line
• statement_kind (string/null) — e.g. balance_sheet
• entity_reference (string/null) — e.g. 6e956d29-80d7-4f20-8722-145e9a701155
• form (string/null) — e.g. cc5df44f-de10-47c4-a2b7-36191f606f26
• status (string/null) — e.g. 5ef6b364-a5ff-47fb-8600-ff859214ef85
• template_id (string/null) — e.g. FS0422
• template_name (string/null) — e.g. Mažųjų bendrijų finansinių ataskaitų rinkinys
• standard_id (string/null) — e.g. BST124
• standard_name (string/null) — e.g. BALANSAS (Sutrumpintas)
• line_type_id (string/null) — e.g. BSLT00021
• line_name (string/null) — e.g. TRUMPALAIKIS TURTAS
• value (string/null) — e.g. 13532
• period_from (string/null) — e.g. 2023-01-01
• period_to (string/null) — e.g. 2023-12-31
• registration_date (string/null) — e.g. 2024-04-26
• source (string/null) — e.g. lithuania-financial-statement-lines
• release_date (string/null) — null in every sample row
• source_url (string/null) — e.g. https://get.data.gov.lt/datasets/gov/rc/jar/
• observed_at (string/null) — e.g. 2026-09-28T06:31:26Z
• 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
• license (string/integer/null) — null in every sample row
• attribution (string/integer/null) — null in every sample row

What you get

One financial_statement_line per record, 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: 4 × $0.02 apify-actor-start + 50 × $0.02 financial_statement_line = $1.08 on the Free tier — every delivered row was billed. If you leave maxRecords out, the run delivers at most 50 rows (the schema default); pass a number up to 2000000 for a bigger export. An explicit value is always honoured up to that maximum.

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": 5000
}

Up to 5000 rows — about $100.02 on the Free tier ($0.02 start + 5000 × $0.02) if the source has that many; maxRecords goes up to 2000000.

4. A filtered run

{
  "maxRecords": 10,
  "fieldMatch": {
    "line_name": "=TRUMPALAIKIS TURTAS",
    "registration_date": "2024-01-01..2024-12-31"
  }
}

One statement line (exact name) across statements registered in 2024; the registry API applies the filter before paging, the reconciled count is the matched count, and only delivered matches are billed. The portal refuses filters on entity_reference (a reference field), so one company's whole statement cannot be selected at the source — a source limitation, stated here rather than worked around.

🧾 JSON sample record

One real record from run WRdm0AqMS4zlTXnN0, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "record_type": "lt_financial_statement_line",
  "statement_kind": "balance_sheet",
  "entity_reference": "6e956d29-80d7-4f20-8722-145e9a701155",
  "form": "cc5df44f-de10-47c4-a2b7-36191f606f26",
  "status": "5ef6b364-a5ff-47fb-8600-ff859214ef85",
  "template_id": "FS0422",
  "template_name": "Mažųjų bendrijų finansinių ataskaitų rinkinys",
  "standard_id": "BST124",
  "standard_name": "BALANSAS (Sutrumpintas)",
  "line_type_id": "BSLT00021",
  "line_name": "TRUMPALAIKIS TURTAS",
  "value": "13532",
  "period_from": "2023-01-01",
  "period_to": "2023-12-31",
  "registration_date": "2024-04-26",
  "source": "lithuania-financial-statement-lines",
  "release_date": null,
  "source_url": "https://get.data.gov.lt/datasets/gov/rc/jar/",
  "observed_at": "2026-09-28T06:35:59Z"
}

🔧 How it works

Source. The actor reads get.data.gov.lt — endpoints: https://get.data.gov.lt/datasets/gov/rc/jar/. Public pages and feeds only; nothing behind a login.

Transport. Requests go through Apify residential proxy because the source refuses datacenter egress. robots.txt is read first and a disallowed path is never fetched. Every request carries an identified contact User-Agent. Pacing: CRAWL_DELAY=0.15.

Charging. Each financial statement line is charged at the moment it is pushed (financial_statement_line); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

🔧 How it works

How it behaves

Balance-sheet and profit-statement line models are paged from get.data.gov.lt with _id-cursor pagination, rate-limited. Taxonomy fields carried verbatim; foreign-key refs stored as their _id. Bulk-proof given the 9.6M-line corpus: streamed, memory bounded, never a full-file self-charged pull.

Source

https://get.data.gov.lt/datasets/gov/rc/jar/ (balanso_ataskaitos + pelno_ataskaitos)

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
Financial Statement Line (financial_statement_line)	$0.02	$0.018	$0.016	$0.0134

Worked at the live Free-tier price:

• 8 financial statement lines: $0.02 start + 8 × $0.02 = $0.18
• 25 financial statement lines: $0.02 start + 25 × $0.02 = $0.52
• 50 financial statement lines: $0.02 start + 50 × $0.02 = $1.02

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 get.data.gov.lt. 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 (get.data.gov.lt) 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 50). 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 get.data.gov.lt. 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 (CRAWL_DELAY=0.15) 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.
• Residential proxy unavailable → the actor stops before touching the source and fails loud, billing nothing; make sure your plan includes residential proxy.

🔗 Related Actors

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• 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,…
• 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…
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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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