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Argentina Open Data Scraper

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Argentina Open Data Scraper

Argentina Open Data Scraper

Export datasets and rows from Argentina's national open-data portal (datos.gob.ar). Two modes: browse the full dataset catalog with metadata, or pull tabular rows from any datastore resource. Covers health, transport, economy, energy, justice, education.

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ParseForge

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🇦🇷 Argentina Open Data Scraper

🚀 Export Argentina's national open data in seconds. Browse the full datos.gob.ar catalog or pull rows from any dataset resource. Covers health, agriculture, transport, justice, energy, education, and economy. No login, no manual CSV stitching.

🕒 Last updated: 2026-05-22 · 📊 Catalog + row modes · 🇦🇷 Whole-of-government Argentina catalog · 🏛️ Hundreds of publishers

The Argentina Open Data Scraper taps the official datos.gob.ar portal and runs in two complementary modes. Catalog mode lists every dataset with title, organization, license, resources, and tags. Dataset mode streams every row from any chosen tabular resource.

Coverage spans national ministries, decentralized agencies, the Senate, the Chamber of Deputies, and provincial publishers, covering health, agriculture, transport, justice, energy, education, public spending, statistics, and demographics. This Actor returns clean structured records ready to download as CSV, Excel, JSON, or XML.

🎯 Target Audience💡 Primary Use Cases
LATAM economists, data journalists, policy analysts, NGOs, civic-tech builders, ML researchersPublic-spending audits, ag-export tracking, health-system research, election and demographic analysis, transparency dashboards

📋 What the Argentina Open Data Scraper does

Two workflows in a single run:

  • 📚 Catalog mode. List every dataset with publisher, license, tags, and resource list.
  • 📊 Dataset mode. Stream every row from any tabular resource.
  • 🔍 Search the catalog. Filter datasets by keyword across title, description, and tags.
  • 🆔 Auto-resolve resources. Provide just a dataset slug and the Actor picks the first usable resource for you.

Each record carries publisher metadata in catalog mode, or the original row schema preserved under data in dataset mode, plus the source identifiers and a timestamp.

💡 Why it matters: Argentina's open data spans hundreds of publishers and dozens of formats. Stitching it into a usable pipeline takes parsers, pagination, and refresh logic. This Actor delivers both the catalog index and the row data in one run, so your dashboards and analyses stay fresh.


🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded Argentina dataset.


⚙️ Input

InputTypeDefaultBehavior
maxItemsinteger10Records to return. Free plan caps at 10, paid plan at 1,000,000.
modestring"catalog"catalog lists datasets, dataset pulls rows.
datasetIdstring""Dataset slug for dataset mode.
resourceIdstring""Optional resource UUID inside the dataset.
searchQuerystring""Catalog keyword filter (title, description, tags).

Example: list the first 50 datasets that mention "energia".

{
"maxItems": 50,
"mode": "catalog",
"searchQuery": "energia"
}

Example: pull rows from a specific dataset.

{
"maxItems": 200,
"mode": "dataset",
"datasetId": "smn-pronostico"
}

⚠️ Good to Know: not every dataset is published as queryable rows. If a dataset only ships static files, dataset mode returns a clear error so you can switch to catalog mode and inspect the resource list.


📊 Output

Two record shapes depending on mode. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Catalog mode schema

FieldTypeExample
🏷️ kindstring"dataset"
🆔 datasetIdstring"smn-pronostico"
📝 titlestring"Pronostico del Tiempo"
🏛️ organizationstring"Servicio Meteorologico Nacional"
⚖️ licensestring"Creative Commons Atribucion"
🕒 metadataModifiedISO 8601"2026-05-20T12:34:56"
📦 resourcesarray[{ "id": "...", "name": "...", "format": "CSV", ... }]
🏷️ tagsstring[]["clima","pronostico","meteorologia"]
🕒 scrapedAtISO 8601"2026-05-22T00:00:00.000Z"

🧾 Dataset mode schema

FieldTypeExample
🏷️ kindstring"row"
🆔 datasetIdstring | null"smn-pronostico"
🏷️ resourceIdstring"d8a8c2c0-..."
🔢 recordIdnumber1
📦 dataobject{ "fecha": "2026-05-22", "ciudad": "Buenos Aires", "tmax": "22", "tmin": "11" }
🕒 scrapedAtISO 8601"2026-05-22T00:00:00.000Z"

📦 Sample records


✨ Why choose this Actor

Capability
🇦🇷Whole-of-government catalog. Hundreds of Argentine publishers in one Actor.
🔁Two modes. Discover datasets in catalog mode, then drill into rows in dataset mode.
🆔Auto-resolve resources. Pass just a slug and the Actor picks the first usable resource.
🔍Keyword search. Catalog mode filters by title, description, and tags.
📚Tag and license metadata. Each catalog row carries publisher, license, and tag context.
Fast. Pages of 100 rows, automatic retries on transient errors.
📦Export anywhere. CSV, Excel, JSON, or XML straight from the Apify dataset.

📊 Whether you are auditing public spending, modelling energy production, or tracking ag exports, the same Actor backs every workflow.


📈 How it compares to alternatives

ApproachCostCoverageRefreshFiltersSetup
⭐ Argentina Open Data Scraper (this Actor)$5 free credit, then pay-per-useWhole datos.gob.ar catalogLive per runsearch, dataset, resource⚡ 2 min
Manual CSV downloads from the portalFreeWhole catalogRe-download manuallyNone🐢 Slow
Custom CKAN clientsFree + dev timeCatalogSelf-managedSelf-coded🐌 Days
Paid LATAM data vendors$$$ subscriptionCurated subsetVendor cadenceVendor schema⏳ Weeks

Pick this Actor when you want both discovery and download in one run with zero pipeline maintenance.


🚀 How to use

  1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. 🌐 Open the Actor. Go to the Argentina Open Data Scraper page on the Apify Store.
  3. 🎯 Set input. Choose catalog or dataset mode and set the slug or search query.
  4. 🚀 Run it. Click Start and let the Actor collect your records.
  5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.


💼 Business use cases

💼 Economy & Public Finance

  • Public-spending audits by ministry
  • Tax-collection and macroeconomic trend tracking
  • Public-debt and bond-issuance monitoring
  • Inflation, CPI, and FX dashboards

🌾 Agriculture & Energy

  • Crop yield and grain-export tracking
  • Livestock and dairy production analysis
  • Power generation and renewables mix
  • Hydrocarbon production by basin

🚑 Health & Demographics

  • Vaccination and disease-surveillance dashboards
  • Hospital capacity and access mapping
  • Census-adjacent population analyses
  • Mortality and life-expectancy studies

🚍 Transport & Mobility

  • Bus and rail ridership trends
  • Vehicle registrations and fleet composition
  • Road-safety and accident analytics
  • Air-traffic and port-throughput dashboards

🔌 Automating Argentina Open Data Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

  • 🟢 Node.js. Install the apify-client NPM package.
  • 🐍 Python. Use the apify-client PyPI package.
  • 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Daily, weekly, or monthly refreshes keep downstream warehouses in sync automatically.


🌟 Beyond business use cases

Argentina open data fuels more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia

  • LATAM economic and development studies
  • Public-policy theses with national microdata
  • Health-system research using ministry datasets
  • Reproducible studies with cited dataset pulls

🎨 Personal and creative

  • Indie data-journalism projects
  • Side projects exploring Argentine history and demographics
  • Personal portfolio dashboards on open data
  • Hobbyist transport and climate tracker tools

🤝 Non-profit and civic

  • Anti-corruption transparency dashboards
  • NGO targeting using public-spending data
  • Election-adjacent civic analyses
  • Investigative journalism on ministry budgets

🧪 Experimentation

  • Train Spanish-language NLP on government text
  • Prototype civic-tech apps with real public data
  • Validate fintech product hypotheses with macro data
  • Build geospatial demos for Argentine provinces

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge Actor in the AI of your choice:


❓ Frequently Asked Questions

🧩 How does it work?

Pick catalog mode to discover datasets or dataset mode to stream rows. The Actor handles pagination, retries, and schema preservation for you.

🔎 Where do I find a dataset slug?

Open the dataset page on the official Argentina open-data portal. The slug appears in the dataset URL after /dataset/, for example smn-pronostico.

📏 Does it cover every Argentine government dataset?

The Actor works with any dataset published to the central catalog by national ministries, decentralized agencies, and partner publishers. Some publishers post static files only; for those, use catalog mode to read metadata.

🔁 How fresh is the data?

Each run pulls the latest rows or catalog entries published at run time, so your dataset reflects the current portal state.

⏰ Can I schedule regular runs?

Yes. Use Apify Schedules to refresh your dataset on any cron interval and keep downstream pipelines current.

🎯 Can I filter the catalog?

Yes. Use searchQuery in catalog mode to match datasets by keyword across title, description, and tags.

🆔 What if I only have a dataset slug?

In dataset mode, pass datasetId and leave resourceId empty. The Actor auto-selects the first row-enabled resource.

The Argentine open-data portal publishes under permissive licenses. Always review the specific dataset license for attribution requirements and downstream compliance.

💼 Can I use this data commercially?

Yes. Most datasets are published under permissive licenses that allow commercial reuse with attribution. You are responsible for downstream compliance in your own product.

💳 Do I need a paid Apify plan to use this Actor?

No. The free Apify plan is enough for testing and small runs (10 records per run). A paid plan lifts the limit and unlocks scheduling, higher concurrency, and bigger datasets.

🔁 What happens if a run fails or gets interrupted?

Apify automatically retries transient errors. Partial datasets are preserved so you never lose progress.

🆘 What if I need help?

Our support team is here to help. Reach us through the Apify platform or via the Tally form linked below.


🔌 Integrate with any app

Argentina Open Data Scraper connects to any cloud service via Apify integrations:

  • Make - Automate multi-step workflows
  • Zapier - Connect with 5,000+ apps
  • Slack - Get run notifications in your channels
  • Airbyte - Pipe Argentina datasets into your warehouse
  • GitHub - Trigger runs from commits and releases
  • Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh Argentina rows into your product backend, or alert your team in Slack.


💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.


🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.


⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the Government of Argentina, the Argentine open-data portal, or any publishing agency. All trademarks mentioned are the property of their respective owners. Only publicly available open data is collected.