🏦 BCRA Argentina Monetary Statistics Scraper

🚀 Export official Central Bank of Argentina monetary statistics in seconds. Reserves, exchange rates, inflation, monetary base, interest rates and more, direct from api.bcra.gob.ar.

🕒 Last updated: 2026-05-29 · 📊 7 fields per record · BCRA Estadísticas v3.0 API · Real-time and historical · National coverage

The BCRA Argentina Monetary Statistics Scraper turns the official Banco Central de la República Argentina public API into a clean, structured dataset. It calls the /estadisticas/v3.0/Monetarias endpoint, lets you list every available variable, and fetches historical time series for any variable you select.

The dataset covers reserves, the official and parallel exchange rates, the monetary base, badlar and pase reference rates, CER and UVA indices, inflation, and dozens of other monetary indicators tracked by the BCRA.

🎯 Target Audience	💡 Primary Use Cases
📊 Economists	Build inflation and FX time series
💱 Traders and risk teams	Track ARS reference rates daily
🏢 Treasury teams	Snapshot reserves and monetary base
🤖 Quant researchers	Mirror BCRA data into BigQuery or Postgres
📰 Financial journalists	Verify official BCRA values in seconds
🎓 Academics	Long historical series for monetary policy research

📋 What the BCRA Argentina Monetary Statistics Scraper does

• Calls the BCRA Estadísticas v3.0 public REST API.
• Lists every available monetary variable with its description, category, latest value and date.
• Fetches the full historical series for any variable IDs you provide, optionally filtered by date range.
• Cleans and casts numeric values so they import straight into pandas, BigQuery, or a spreadsheet.
• Wraps API errors into a clean error record instead of crashing.

💡 Why it matters: the BCRA exposes hundreds of monetary indicators but the official site is slow and the data is locked inside paginated HTML reports. This actor turns it into a flat, downloadable dataset.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
variableIds	array	No	List of BCRA variable IDs. Leave empty to fetch the master list of all available variables.
dateFrom	string	No	Start date in YYYY-MM-DD format. Used only with variableIds.
dateTo	string	No	End date in YYYY-MM-DD format. Used only with variableIds.
maxItems	integer	No	Free users 10, paid users up to 1,000,000. Prefill 10.

Example 1, latest values for all variables:

{ "maxItems": 50 }

Example 2, USD official rate history:

{ "variableIds": ["5"], "dateFrom": "2025-01-01", "dateTo": "2025-12-31", "maxItems": 365 }

⚠️ Good to Know: the BCRA public API is rate-limited. Heavy historical pulls should be spread across runs.

📊 Output

Each record is a flat object. error is always last.

Field	Type	Description
🆔 variable_id	number	BCRA variable identifier
📝 description	string	Human readable description
🗂️ category	string	BCRA category (Principales Variables, Tasas, etc.)
💹 value	number	Numeric value of the indicator
📅 date	string	Reference date (YYYY-MM-DD)
📏 unit	string	Series unit code when available
🕒 scrapedAt	string	When this row was fetched
❌ error	string	Set if the upstream response was an error

Sample record:

{
  "variable_id": 1,
  "description": "Reservas Internacionales del BCRA (en millones de dólares)",
  "category": "Principales Variables",
  "value": 28450.5,
  "date": "2026-05-28",
  "unit": null,
  "scrapedAt": "2026-05-29T10:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🆓 | Calls the fully public BCRA API, no key, no login. | | 🧹 | Normalizes BCRA's Spanish field names into clean snake_case columns. | | 🔢 | Numeric casting ready for pandas, BigQuery, Excel. | | 🛟 | Surfaces API errors as a clean error record. | | 📅 | Date range filter for any variable. | | 💾 | Push to dataset, instant download in many formats. |

📈 How it compares to alternatives

Approach	Setup time	Clean keys	Numeric casting	Error handling
Roll your own fetch	30 min plus	❌	❌	❌
Manual download from bcra.gob.ar	hours	❌	❌	❌
This Actor	5 sec, no install	✅	✅	✅

🚀 How to use

1. Click Try for free.
2. Leave inputs empty to pull the latest value of every BCRA variable, or pass variableIds.
3. (Optional) Set dateFrom and dateTo to bound a historical series.
4. Click Start. Your dataset is ready in seconds.

💼 Business use cases

📊 FX and inflation dashboards. Schedule a daily run for variable IDs covering the official USD rate, CER and UVA indices, pipe to a BI tool.

💼 Treasury risk. Pull reserves, monetary base and badlar daily for your risk model.

📰 Newsroom fact-checking. Verify any BCRA number before publishing.

🤖 ML feature engineering. Build a feature set of monetary indicators for macro forecasting.

🔌 Automating BCRA Argentina Statistics Scraper

• Make and Zapier: schedule a daily run after BCRA publishes, push to Airtable or Slack.
• Cron schedule: native Apify scheduler.
• Webhooks: receive a POST when a run finishes.
• Pipe to BigQuery, Snowflake, Postgres: native Apify integrations.

🌟 Beyond business use cases

🎓 Education. Teach macroeconomics with live Argentina data instead of static textbook tables.

🧪 Personal research. Track parallel rates and inflation over time.

🤝 Non-profit and open data. Build public dashboards on Argentine monetary policy.

🧰 Tinkering. Wire BCRA series into a custom dashboard in minutes.

🤖 Ask an AI assistant about this scraper

Paste this README into ChatGPT or Claude and ask it to map your workflow to the actor inputs. The schema, examples and field list above contain everything an LLM needs to design a working pipeline.

❓ Frequently Asked Questions

❓ Do I need an API key? No, the BCRA public API requires no authentication.

❓ Is there a rate limit? The BCRA enforces a soft rate limit. Avoid hammering the endpoint.

❓ How do I find variable IDs? Run the actor with no inputs first, then copy the variable_id for any variable you want historical data on.

❓ Can I filter by date? Yes, with dateFrom and dateTo in YYYY-MM-DD format, only when variableIds is set.

❓ Are values cast to numbers? Yes.

❓ How are errors handled? Pushed as a single record with error populated.

❓ Can I schedule runs? Yes, via Apify scheduler, Make, Zapier or cron.

❓ Is this scraping or API? Public REST API.

❓ Will the schema change? Core fields are stable.

❓ What format can I download? CSV, Excel, JSON, JSONL, XML, RSS, HTML straight from the Apify dataset UI.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST API or webhook endpoint.

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