parsimony-rba
Reserve Bank of Australia source for parsimony: statistical tables fetch and catalog enumeration.
Part of the parsimony-connectors monorepo. Distributed standalone on PyPI as parsimony-rba.
Connectors
| Name | Kind | Description |
|---|---|---|
rba_fetch |
connector | Fetch a published RBA statistical table/series by table_id. Resolves across all three publication formats — a CSV stem (f1-data), a current XLSX-exclusive sheet (a03/Bond Purchase Program), or a legacy xls-hist workbook (b03hist) — and returns a tidy long-format DataFrame. |
enumerate_rba |
enumerator | Discover series via the 3-pass HTML scrape (CSV index + current XLSX-exclusive sheets + legacy xls-hist), parsing each table's metadata header rows. Drives the rba catalog. |
rba_search |
search | Semantic search over the published RBA catalog. Pass the returned table_id column to rba_fetch(table_id=...). |
Coverage
The catalog indexes ~4,672 series across RBA's nine statistical categories (Reserve Bank, banking & finance, credit cards, monetary aggregates, household & business finance, interest rates, exchange rates, economic activity, balance of payments), drawn from three publication formats RBA exposes as static files (it has no JSON/REST API):
- CSV index (
/statistics/tables/) — ~3,958 current series (the bulk). - Current XLSX-exclusive sheets — series published only in a workbook, never re-exported as CSV (today: the Bond Purchase Program). Detected by dynamic exclusivity, so a future XLSX-only sheet is picked up automatically.
- Legacy xls-hist binaries (
/statistics/historical-data.html) — discontinued series that left the live CSVs.
The catalog code is compound ({table_id}#{series_id}) because RBA reuses series
ids across related tables. Every catalogued series is fetchable — rba_fetch
resolves the table_id to whichever format published it. The redundant
*hist.xlsx long-history workbooks and the period-range archives are deliberately
skipped (an audit confirmed they carry the same series ids as the current CSVs).
Data is CC BY 4.0 — cite as "Source: Reserve Bank of Australia".
Install
pip install parsimony-rba
Pulls in a compatible parsimony automatically. Verify discovery:
python -c "from parsimony import discover; print([p.name for p in discover.iter_providers()])"
Configuration
No API key required — the RBA statistics site is public and keyless.
curl_cffi is a required runtime dependency (installed automatically). The
RBA site (rba.gov.au) is fronted by Akamai bot-mitigation that
TLS-fingerprint-blocks stock python-httpx (every request returns HTTP 403).
parsimony-rba reaches the origin only via curl_cffi, which presents a real
Chrome TLS handshake. Without it the connector is non-functional — this is why
curl_cffi ships as a hard dependency rather than an optional extra.
rba_search reads its catalog snapshot from hf://parsimony-dev/rba by
default; override with the PARSIMONY_RBA_CATALOG_URL env var or
load(catalog_url=...).
Quick start
from parsimony_rba import CONNECTORS
result = CONNECTORS["rba_fetch"](table_id="f1-data")
print(result.raw.head())
For multi-plugin composition:
from parsimony import discover
connectors = discover.load_all()
Catalogs
rba_search runs semantic search over a published catalog snapshot
(hf://parsimony-dev/rba by default; override with the
PARSIMONY_RBA_CATALOG_URL env var or load(catalog_url=...)). The snapshot is
built from enumerate_rba via scripts/build_catalog.py. No API key is
required — RBA is a public, keyless data source.
Provider
- Homepage: https://www.rba.gov.au
- Statistical tables: https://www.rba.gov.au/statistics/tables/
License
See LICENSE.
Metadata
Release files for parsimony-rba 0.0.2
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