Boletin Oficial Argentina Scraper: Company & Legal Notices
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from $6.80 / 1,000 results
Boletin Oficial Argentina Scraper: Company & Legal Notices
Scrape the Boletin Oficial Argentina: company constitutions, corporate reforms, bankruptcies (concursos y quiebras), judicial edicts, tenders and legal notices. Search by keyword, section and date to get entity name, notice type, date and link. Export to JSON, CSV or Excel.
Pricing
from $6.80 / 1,000 results
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Scrapers Lat
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Boletin Oficial Argentina Scraper: Company & Legal Notices
Here is one real result, with every field the actor returns:
{"publicationId": "H2377971","section": "segunda","sectionName": "Segunda (Sociedades)","rubro": "CONVOCATORIAS Y AV.COMERCIALES - AVISOS COMERCIALES","title": "1625 S.R.L.","entityName": "1625 S.R.L.","norma": null,"publishDate": "2010-10-07","publishYear": "2010","summary": null,"noticeUrl": "https://www.boletinoficial.gob.ar/detalleAviso/segunda/H2377971/20101007","keyword": "quiebra","source": "Boletin Oficial Argentina","observedAt": "2026-08-10T14:42:16.959Z"}
The most complete Boletin Oficial Argentina scraper available. It returns every field each notice exposes, including entity name, section, category (rubro), publication date, and a direct notice link, across the company, legislation, and edicts sections, with keyword, section, and date filters plus optional AI summary, entity extraction, and Spanish-to-English translation.
📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples
Table of contents
- What it does
- Quickstart
- Input reference
- Output reference
- Example output record
- Run via API and CLI
- Fetch results
- Billing and limits
- FAQ and troubleshooting
What it does
The actor searches the Boletin Oficial de la Republica Argentina, the country's official gazette. Give it one or more keywords (a company name such as AGRO S.A., a notice type such as quiebra, concurso, or transferencia, or any word), choose the sections to search, and optionally set a date range. Each keyword is searched separately, so one run can cover many queries.
It writes one normalized record per notice, with the publication ID, section and section name, category (rubro), the notice title and parsed entity name, the publication date and year, and a direct link to the full notice. Search the company notices section (segunda) for constitutions, reforms, and bankruptcies; the legislation section (primera) for laws and decrees; or the edicts section (tercera) for procurement, judicial edicts, and concursos y quiebras.
Dates are normalized to YYYY-MM-DD, missing source values are returned as null, and optional AI add-ons can summarize a notice, extract structured entities (company or person names, notice type, amounts, dates, CUIT), and translate the notice from Spanish to English.
Quickstart
Open the actor, paste this into the input, and press Run. It returns 10 company-section notices matching "quiebra".
{"keywords": ["quiebra"],"sections": ["segunda"],"matchAllWords": false,"maxNotices": 10}
Leave keywords empty to browse the whole section, add more sections, or set dateFrom and dateTo to bound the publication date.
Input reference
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
keywords | string[] | no | ["quiebra"] | Search terms. Each is searched separately. Match a company name, a notice type (quiebra, concurso, transferencia), or any word. Empty browses the whole section. |
sections | enum[] | no | ["segunda"] | Gazette sections to search: primera (laws and decrees), segunda (company notices), tercera (procurement, edicts, concursos y quiebras). |
dateFrom | string | no | (empty) | Only notices published on or after this date (YYYY-MM-DD). |
dateTo | string | no | (empty) | Only notices published on or before this date (YYYY-MM-DD). |
matchAllWords | boolean | no | false | When on, a multi-word keyword must match all of its words (AND search). Off is a broader search. |
maxNotices | integer | no | 10 | Maximum notices to collect across all keywords and sections. Free Apify plans are capped at 10 per run. |
withAiSummary | boolean | no | false | Add an AI plain-English summary per notice. Billed only when produced. Paid Apify plans only. |
withAiExtract | boolean | no | false | Add AI-extracted entities (names, notice type, amounts, dates, CUIT). Billed only when produced. Paid Apify plans only. |
withAiTranslate | boolean | no | false | Add an AI English translation of each notice's title and text. Billed only when produced. Paid Apify plans only. |
Output reference
One dataset item per notice. Types: string, object, or null when the source value is absent.
| Field | Type | Description |
|---|---|---|
publicationId | string | Boletin Oficial publication ID for the notice. |
section | string | Section slug: primera, segunda, or tercera. |
sectionName | string | Readable section name, for example Segunda (Sociedades). |
rubro | string | Category / rubric of the notice as published. |
title | string | Notice title. |
entityName | string | Company or entity name parsed from the notice. |
norma | string | Norm reference (law/decree number) for legislation notices, or null. |
publishDate | string | Publication date (YYYY-MM-DD). |
publishYear | string | Publication year. |
summary | string | Source summary snippet, when present. |
noticeUrl | string | Direct URL to the full notice on the Boletin Oficial. |
keyword | string | The keyword that produced this record. |
source | string | Always Boletin Oficial Argentina. |
observedAt | string | ISO 8601 timestamp of when the record was collected. |
aiSummary | string | AI summary of the notice, or null unless enabled. |
aiExtract | object | AI-extracted entities (names, notice type, amounts, dates, CUIT), or null unless enabled. |
aiTranslation | string | AI English translation of the notice, or null unless enabled. |
error | string | Present only on a failed run; a single item with a populated error field is written instead. |
Example output record
Real record from a live run (input {"keywords": ["quiebra"], "sections": ["segunda"], "maxNotices": 10}):
{"publicationId": "H2377971","section": "segunda","sectionName": "Segunda (Sociedades)","rubro": "CONVOCATORIAS Y AV.COMERCIALES - AVISOS COMERCIALES","title": "1625 S.R.L.","entityName": "1625 S.R.L.","norma": null,"publishDate": "2010-10-07","publishYear": "2010","noticeUrl": "https://www.boletinoficial.gob.ar/detalleAviso/segunda/H2377971/20101007","keyword": "quiebra","source": "Boletin Oficial Argentina","observedAt": "2026-08-10T14:42:16.959Z"}
Run via API and CLI
Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.
Run synchronously and get dataset items in one call:
curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~boletin-oficial-argentina-scraper/run-sync-get-dataset-items?token=<TOKEN>" \-H "Content-Type: application/json" \-d '{"keywords":["quiebra"],"sections":["segunda"],"maxNotices":25}'
Start a run asynchronously:
curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~boletin-oficial-argentina-scraper/runs?token=<TOKEN>" \-H "Content-Type: application/json" \-d '{"keywords":["concurso preventivo"],"sections":["tercera"],"dateFrom":"2024-01-01","dateTo":"2024-12-31","maxNotices":100}'
Apify CLI:
apify call scrapers_lat/boletin-oficial-argentina-scraper \--input '{"keywords":["AGRO S.A."],"sections":["segunda"]}'
Fetch results
Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:
# JSONcurl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"# CSVcurl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"# Paginate large datasetscurl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"
<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.
Billing and limits
- Pay per result. You are charged per notice returned (
resultevent). See the pricing tab for the current per-result price. - No charge on failure. If a run errors, the actor writes an item with a populated
errorfield and does not charge for it. Empty runs cost nothing. - AI add-ons are opt-in. Summary, entity extraction, and translation are billed per notice only when usable output is produced, and only on paid Apify plans.
- Spend cap respected. Set
maxTotalChargeUsdon the run; once reached, the actor stops emitting and charging further billable results. - Free Apify plans are capped at 10 notices per run. Upgrade for higher
maxNotices.
FAQ and troubleshooting
A run returned 0 records. Why? The keyword, section, or date range matched nothing. Loosen the keyword, add sections, or widen the date range. Zero-result runs are not charged.
Which section should I search?
Use segunda for company notices (constitutions, reforms, bankruptcies, commercial notices), primera for laws and decrees, and tercera for procurement, judicial edicts, and concursos y quiebras.
What is the rubro field?
It is the gazette's own category label for the notice, for example the commercial-notices rubric shown in the example record.
Can I get the notices in English?
Yes, with the optional withAiTranslate add-on, which adds an English translation of each notice's title and text. The original Spanish fields are always returned.
Does it match all words or any word?
By default a multi-word keyword matches any of its words. Set matchAllWords to true for an AND search.
Is this an official government tool? No. This actor is independent and has no affiliation with the Argentine government or the Boletin Oficial. It reads only data that is publicly available on the Boletin Oficial website. Use it in accordance with the source's terms.
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More scrapers at scrapers.lat
Built and maintained by scrapers.lat, where we publish scrapers for US and Latin American public platforms: company registries, government data, finance, e-commerce and more. Browse the catalog or request a custom scraper at scrapers.lat.
Independent tool, not affiliated with the Argentine government or the Boletin Oficial. Accesses only publicly available gazette data. Use in accordance with the source's terms.
