🏦 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.

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.

📊 Data fields

Each record includes: category, date, description, results, scrapedAt, unit, value, variable_id. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

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

🚀 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.

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Disclaimer: This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. Create a free account w/ $5 credit.

🆘 Need Help?

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