World Bank Indicators — Any Country, Any Indicator
Pricing
from $1.00 / 1,000 results
World Bank Indicators — Any Country, Any Indicator
Pull World Bank development indicators for any country and indicator as flat year-by-year rows — with country and indicator names resolved.
Pricing
from $1.00 / 1,000 results
Rating
0.0
(0)
Developer
alaudin burki
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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World Bank Indicators — Any Country, Any Indicator, Clean Rows
Pull World Bank development indicators for any country and indicator as flat year-by-year rows — with country and indicator names resolved.
How to use
- Open worldbank-indicators on Apify.
- Enter the required input and adjust any limits in the input form.
- Run the Actor and download its dataset from Apify.
Inputs
| Field | Purpose | Default |
|---|---|---|
country | ISO2, ISO3 or region code — e.g. PAK, US, GB, or "all" for every country. | — |
indicator | World Bank indicator id, e.g. NY.GDP.MKTP.CD (GDP), SP.POP.TOTL (population), FP.CPI.TOTL.ZG (inflation). | — |
maxItems | Stop after this many rows. | 500 |
maxPages | Stop after this many pages. | 5 |
Output dataset
| Field | Meaning |
|---|---|
country | Country name as the source writes it — sometimes 'Norge' rather than 'NO'. Not an ISO code unless the README says so. |
countryCode | Two-letter ISO 3166-1 country code. |
indicator | Indicator the row measures, as the source names it. Free text, and not always unique across sources. |
indicatorCode | Code identifying the indicator or series at the source. |
year | Calendar year the record refers to. |
value | The measured value for this row. Units are in the README and sometimes in a sibling field. |
Pricing and limits
Check the current pricing panel on this Actor’s Apify page before running it. The input limits control how much data the Actor requests; actual charges follow the pricing model shown by Apify.
Results depend on the source service and the input supplied. Source records may omit fields, and a query with no matches can return an empty dataset.
