Argentina Open Data Studio — Gov Data Joins avatar

Argentina Open Data Studio — Gov Data Joins

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from $20.00 / 1,000 joined pulls

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Argentina Open Data Studio — Gov Data Joins

Argentina Open Data Studio — Gov Data Joins

Value layer on Argentina's official open data API (datos.gob.ar): 6 cross-dataset join presets (GDP, inflation expectations, labour market, population, employment, prices) + custom joins + raw data extraction, CSV/JSON/XLSX delivery, AI-ready output.

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from $20.00 / 1,000 joined pulls

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Join Argentina's official open data into clean CSV/JSON/XLSX with AI-ready output and attribution.

Sister actor to my-open-data-studio and sg-open-data-studio — same value-layer engine, Argentina data source (datos.gob.ar).

Why this exists

Every preset pulls multiple official datos.gob.ar datasets, aligns them on a common key (year), and delivers one flat joined file. Raw APIs can't do this — that's the value layer.

Modes

  • studio (default) — value layer: presets or custom joins, AI-ready package, attribution.
  • extract — raw data pull: pass 1–5 datasetIds and get each dataset delivered as-is, one file per dataset plus a manifest.

Presets

Presets are joined on year:

  • T1 — GDP & Economy by Year: GDP at current prices, GDP per capita and national population (INDEC national accounts / projections), 2004–2025.
  • T2 — Inflation Expectations by Year: median and mean 12-month-ahead inflation expectations, annual mean by year (BCRA REM survey).
  • T3 — Labour Market by Year: unemployment rate (national and Greater Buenos Aires) × employment and activity rates (INDEC EPH).
  • T4 — Population & Labour Force by Year: national population (INDEC projections) × EPH agglomerate urban population and economically active population (PEA).
  • T5 — Employment & Activity by Year: employment, activity, unemployment and underemployment rates, annual means (INDEC EPH puntual continua).
  • T6 — Prices & Wages by Year: inflation expectations (BCRA REM) × GDP implicit price index (INDEC).

Custom joins

Choose preset=custom and supply your own datos.gob.ar datastore resource ids (UUIDs, up to 6), key columns, optional filters, and aggregation. The engine probes each dataset and guesses numeric fields if you don't specify them.

Input

FieldDefaultDescription
modestudiostudio (value layer) or extract (raw pull)
datasetIds[]resource ids for extract mode (1–5)
presetT1T1–T6 or custom
customDatasets[]resource ids for custom joins (2–6)
customKeyyearkey column for custom joins
customJoinTypeinnerinner or left
customAggnonenone, sum or mean
formatjsonjson, csv, xlsx
webhookUrl""POST the joined file to a webhook
aiReadytruealso emit JSON Schema + data dictionary + sample rows
includeAttributiontrueattach source/licence metadata sidecar

Output

  • {preset}_join.{json,csv,xlsx} — the joined file
  • {preset}_attribution.json — source/licence metadata
  • {preset}_ai_ready.json — JSON Schema + data dictionary + sample rows for LLM/RAG ingestion
  • {preset}_verification.json — row counts per source, join stats, year range

Source

datos.gob.ar — Argentina's official open data portal. Datasets are licensed under CC BY 4.0 unless otherwise stated on the source record; attribution is attached to every output.

datos.gob.ar's public API is keyless. The actor paces its fetches within a comfortable rate; large datasets take longer but never fail on rate limits.