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Slovakia Public-Sector Partners Register

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from $13.40 / 1,000 registry records

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Slovakia Public-Sector Partners Register

Slovakia Public-Sector Partners Register

One record per registered public-sector partner from the official RPVS OData — official ID, business name, validity dates, and beneficial owners when expanded. Honest scope: the public-sector-partners register, NOT a full company roster.

Pricing

from $13.40 / 1,000 registry records

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NexGen Watch

NexGen Watch

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🔔 Slovakia Public-Sector Partners Register

One record per registered public-sector partner from the official RPVS OData — official ID, business name, validity dates, and beneficial owners when expanded. Honest scope: the public-sector-partners register, NOT a full company roster.

Public, robots-honoured, keyless.

Output is one sk_public_sector_partner 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: rpvs.gov.sk.

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 Slovakia public sector partners or RPVS.

  • Sales and lead-generation teams building lists from Slovakia public sector partners.
  • KYB, onboarding and compliance teams checking RPVS.
  • Market researchers and data teams that need the official record as rows.

📊 Sample Output

Slovakia Public-Sector Partners Register sample output — a table of real registry record rows (partner_id, vlozka_number, ico, business_name) from run bgAFbYskIEGLZV9le on build 0.1.10

Real rows from run bgAFbYskIEGLZV9le 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):

partner_idvlozka_numbericobusiness_nameperson_formvalid_from
1144543832LITOGRAF s. r. o.PravnickaOsoba2017-02-01T00:00:00+01:00
2236742023JUDr. Radovan Repa, advokát, s. r. o.PravnickaOsoba2017-02-01T00:00:00+01:00
3347559870ZELEX, s.r.o.PravnickaOsoba2017-02-01T00:00:00+01:00
4436823457FECOM ICT s.r.o.PravnickaOsoba2017-02-01T00:00:00+01:00
5544562977GPP INDUSTRIE BAU, s. r. o.PravnickaOsoba2017-08-03T00:00:00+02:00
66481750134bigdata spol. s r.o.PravnickaOsoba2017-02-01T00:00:00+01:00
7741549708Viliam Štafurik - RENTONPravnickaOsoba2017-02-01T00:00:00+01:00
8843216731Ing. Pavol Sebök PAULOS - DLSPravnickaOsoba2017-02-01T00:00:00+01:00

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. sk_public_sector_partner
  • partner_id (integer/null) — e.g. 1
  • vlozka_number (integer/null) — e.g. 1
  • ico (string/null) — e.g. 44543832
  • business_name (string/null) — e.g. LITOGRAF s. r. o.
  • person_name (string/null) — null in every sample row
  • person_form (string/null) — e.g. PravnickaOsoba
  • valid_from (string/null) — e.g. 2017-02-01T00:00:00+01:00
  • valid_to (string/null) — e.g. 2017-09-25T00:00:00+02:00
  • detail_record_count (integer/null) — e.g. 1
  • beneficial_owner_count (integer/null) — e.g. 2
  • beneficial_owners (array/null) — e.g. [{"name": "Jaroslav Vidra", "is_public_official": true, "valid_from": "2017-02-0
  • source (string/null) — e.g. slovakia-public-sector-partners
  • release_date (string/null) — null in every sample row
  • source_url (string/null) — e.g. https://rpvs.gov.sk/opendatav2/Partneri?$expand=PartneriVerejnehoSektora,Konecni
  • observed_at (string/null) — e.g. 2026-09-18T06:53:51Z
  • 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. sk_public_sector_partner
  • partner_id (integer/null) — e.g. 1
  • vlozka_number (integer/null) — e.g. 1
  • ico (string/null) — e.g. 44543832
  • business_name (string/null) — e.g. LITOGRAF s. r. o.
  • person_name (string/null) — null in every sample row
  • person_form (string/null) — e.g. PravnickaOsoba
  • valid_from (string/null) — e.g. 2017-02-01T00:00:00+01:00
  • valid_to (string/null) — e.g. 2017-09-25T00:00:00+02:00
  • detail_record_count (integer/null) — e.g. 1
  • beneficial_owner_count (integer/null) — e.g. 2
  • beneficial_owners (array/null) — e.g. [{"name": "Jaroslav Vidra", "is_public_official": true, "valid_from": "2017-02-0
  • source (string/null) — e.g. slovakia-public-sector-partners
  • release_date (string/null) — null in every sample row
  • source_url (string/null) — e.g. https://rpvs.gov.sk/opendatav2/Partneri?$expand=PartneriVerejnehoSektora,Konecni
  • observed_at (string/null) — e.g. 2026-09-18T06:17:38Z
  • 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,
"maxPages": 5
}

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,
"maxPages": 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,
"maxPages": 5
}

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,
"maxPages": 5,
"fieldMatch": {
"business_name": "LITOGRAF s. r. o."
}
}

Keeps only rows whose business_name contains LITOGRAF s. r. o. (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 bgAFbYskIEGLZV9le, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "sk_public_sector_partner",
"partner_id": 1,
"vlozka_number": 1,
"ico": "44543832",
"business_name": "LITOGRAF s. r. o.",
"person_name": null,
"person_form": "PravnickaOsoba",
"valid_from": "2017-02-01T00:00:00+01:00",
"valid_to": "2017-09-25T00:00:00+02:00",
"detail_record_count": 1,
"beneficial_owner_count": 2,
"beneficial_owners": [
{
"name": "Jaroslav Vidra",
"is_public_official": true,
"valid_from": "2017-02-01T00:00:00+01:00",
"valid_to": "2017-09-25T00:00:00+02:00"
},
{
"name": "Katarína Vidrová",
"is_public_official": true,
"valid_from": "2017-02-01T00:00:00+01:00",
"valid_to": "2017-09-25T00:00:00+02:00"
}
],
"source": "slovakia-public-sector-partners",
"release_date": null,
"source_url": "https://rpvs.gov.sk/opendatav2/Partneri?$expand=PartneriVerejnehoSektora,KonecniUzivateliaVyhod",
"observed_at": "2026-09-18T06:53:51Z"
}

🔧 How it works

Source. The actor reads rpvs.gov.sk — endpoints: https://rpvs.gov.sk/opendatav2. 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 Partneri spine is paged by following @odata.nextLink exactly as the service supplies it ($top is disabled), expanded to partner detail + beneficial owners, bounded to maxRecords. Official $count is reconciled. A first-page failure charges nothing.

Source

https://rpvs.gov.sk/opendatav2/Partneri

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

💰 Pricing example

EventFreeBronzeSilverGold
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.

This actor reads public, logged-out pages and feeds published by rpvs.gov.sk. 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 (rpvs.gov.sk) 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 rpvs.gov.sk. 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.
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⭐ 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.