API AccessAccess dataset files directly from scripts, code, or AI agents.
Browse dataset files
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.
/luccasmmg/london-unemployment/
https://datahub.io/luccasmmg/london-unemployment/_r/-/README.md
https://datahub.io/luccasmmg/london-unemployment/_r/-/UPDATE_SCRIPT_MAINTENANCE_REPORT.md
https://datahub.io/luccasmmg/london-unemployment/_r/-/data/data/unemployment-rate.csv
https://datahub.io/luccasmmg/london-unemployment/_r/-/data/datapackage.json
https://datahub.io/luccasmmg/london-unemployment/_r/-/datapackage.json
Key Files
Start with these files — they give you everything you need to understand and access the dataset.
data/datapackage.json— metadata & schema
https://datahub.io/luccasmmg/london-unemployment/_r/-/data/datapackage.json
README.md— documentation
https://datahub.io/luccasmmg/london-unemployment/_r/-/README.md
Typical Usage
- 1. Fetch data/datapackage.json to inspect schema and resources
- 2. Download data resources listed in data/datapackage.json
- 3. Read README.md for full context
Data Previews
unemployment-rate
Loading data...
Schema
| name | type | format |
|---|---|---|
| date | date | %Y-%m-%d |
| unemployment_real_numbers | number | default |
| unemployment_rate | number | default |
Data Files
| File | Description | Size | Last modified | Download |
|---|---|---|---|---|
unemployment-rate | 8.72 kB | about 2 months ago | unemployment-rate |
| Files | Size | Format | Created | Updated | License | Source |
|---|---|---|---|---|---|---|
| 1 | 8.72 kB | csv | about 2 months ago | Open Government Licence v3.0 | London Datastore |
Update Script Maintenance Report
Date: 2026-03-04
- Updated
scripts/london_unemployment.pyto fetch the source workbook usingrequestswith browser-like headers before parsing via pandas.- This resolves HTTP 403 failures caused by direct
pandas.read_excel(url)requests to the London Datastore endpoint.
- This resolves HTTP 403 failures caused by direct
- Re-ran updater and refreshed:
data/data/unemployment-rate.csvdata/datapackage.json
- Updated
scripts/requirements.txtto modern, installable dependency ranges on current Python versions. - Modernized workflow automation in
.github/workflows/actions.yml(schedule/manual triggers, explicit write permissions, current action versions).