API Access
Access dataset files directly from scripts, code, or AI agents.
Browse dataset files
API Access
Access dataset files directly from scripts, code, or AI agents.
Dataset Files
Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.
/core/dac-and-crs-code-lists/
https://datahub.io/core/dac-and-crs-code-lists/_r/-/.gitignore
https://datahub.io/core/dac-and-crs-code-lists/_r/-/README.md
https://datahub.io/core/dac-and-crs-code-lists/_r/-/UPDATE_SCRIPT_MAINTENANCE_REPORT.md
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/agencies.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/aid_type_categories.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/aid_types.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/channel_codes.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/collaboration_types.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/dac_members.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/finance_type_categories.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/finance_types.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/flow_types.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/multilateral_donors.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/nature_of_submission.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/non_dac_donors.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/private_donors.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/recipients.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/sector_categories.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/data/sectors.csv
https://datahub.io/core/dac-and-crs-code-lists/_r/-/datapackage.json
https://datahub.io/core/dac-and-crs-code-lists/_r/-/excel_crs_mappings.json
https://datahub.io/core/dac-and-crs-code-lists/_r/-/parsers/__init__.py
https://datahub.io/core/dac-and-crs-code-lists/_r/-/parsers/excel.py
https://datahub.io/core/dac-and-crs-code-lists/_r/-/parsers/helpers.py
https://datahub.io/core/dac-and-crs-code-lists/_r/-/requirements.txt
https://datahub.io/core/dac-and-crs-code-lists/_r/-/runtime.txt
https://datahub.io/core/dac-and-crs-code-lists/_r/-/scraper.py
https://datahub.io/core/dac-and-crs-code-lists/_r/-/scrapers/__init__.py
https://datahub.io/core/dac-and-crs-code-lists/_r/-/scrapers/excel.py
https://datahub.io/core/dac-and-crs-code-lists/_r/-/scrapers/helpers.py
https://datahub.io/core/dac-and-crs-code-lists/_r/-/scrapers/xml.py
https://datahub.io/core/dac-and-crs-code-lists/_r/-/source/codelists.xls
https://datahub.io/core/dac-and-crs-code-lists/_r/-/source/codelists.xml
Key Files
Start with these files — they give you everything you need to understand and access the dataset.
datapackage.json— metadata & schema
https://datahub.io/core/dac-and-crs-code-lists/_r/-/datapackage.json
README.md— documentation
https://datahub.io/core/dac-and-crs-code-lists/_r/-/README.md
Typical Usage
- 1. Fetch datapackage.json to inspect schema and resources
- 2. Download data resources listed in datapackage.json
- 3. Read README.md for full context
Data Files
Explore with AIDAC members
Loading data...
| Field | Type | Title |
|---|---|---|
| code | string | Donor code |
| name_en | string | Donor name (English) |
| name_fr | string | Donor name (French) |
Download
Download CSVAbout
- List of donor codes and names for DAC members. Currency codes for a donor’s currency refer to the donor code in question (e.g. Australian dollars use donor code 801 for Australia. Note: the currency code for the Euro uses the donor code for EU Institutions, i.e. 918).
- Last updated
- 4 March 2026
- Total rows
- ...
- Format
- CSV
- File size
- 790 B
- Source
- OECD
Multilateral donors
Loading data...
| Field | Type | Title |
|---|---|---|
| code | string | Donor code |
| name_en | string | Donor name (English) |
| name_fr | string | Donor name (French) |
Download
Download CSVAbout
- List of donor codes and names for multilateral donors.
- Last updated
- 4 March 2026
- Total rows
- ...
- Format
- CSV
- File size
- 28 B
- Source
- OECD
Non-DAC donors
Loading data...
| Field | Type | Title |
|---|---|---|
| code | string | Donor code |
| name_en | string | Donor name (English) |
| name_fr | string | Donor name (French) |
Download
Download CSVAbout
- List of donor codes and names for non-DAC donors.
- Last updated
- 4 March 2026
- Total rows
- ...
- Format
- CSV
- File size
- 3.82 kB
- Source
- OECD
Private donors
Loading data...
| Field | Type | Title |
|---|---|---|
| code | string | Donor code |
| name_en | string | Donor name (English) |
| name_fr | string | Donor name (French) |
Download
Download CSVAbout
- List of donor codes and names for private donors.
- Last updated
- 4 March 2026
- Total rows
- ...
- Format
- CSV
- File size
- 651 B
- Source
- OECD
Agencies
Loading data...
| Field | Type | Title |
|---|---|---|
| code | string | Donor code |
| donor_name_en | string | Donor name (English) |
| donor_name_fr | string | Donor name (French) |
| agency_code | string | Agency code |
| agency_name_en | string | Agency name (English) |
| agency_name_fr | string | Agency name (French) |
| acronym | string | Acronym |
Download
Download CSVAbout
- List of agency codes and names including agency acronyms.
- Last updated
- 4 March 2026
- Total rows
- ...
- Format
- CSV
- File size
- 104 kB
- Source
- OECD
About this dataset
Update Script Maintenance Report
Date: 2026-03-03
- Ran scraper successfully (
python scraper.py) and refreshed DAC/CRS source/data files. - Updated workflow token usage to
${{ secrets.GITHUB_TOKEN }}in.github/workflows/scrape.yml. - Added explicit workflow permissions:
contents: writepull-requests: write
- This removes dependency on a custom
TOKENsecret and improves automation reliability.