PASAR API

🇸🇬 Vessel Arrivals (>75 GT) Total, Annual Data

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Dataset shows the annual number of vessel arrivals (>75 GT) and shipping tonnage by type. Keyless JSON via data.gov.sg datastore. SG-first.

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Call it

curl --fail-with-body --location --max-time 30 'https://data.gov.sg/api/action/datastore_search?resource_id=d_8392e9bea6ca351a38f67172ccdf6a6a&limit=10'

AI prompt

I'm building an app using a public Singapore API (no private credentials needed).

API: Vessel Arrivals (>75 GT) Total, Annual Data
Provider: Maritime and Port Authority of Singapore
Endpoint: GET https://data.gov.sg/api/action/datastore_search?resource_id=d_8392e9bea6ca351a38f67172ccdf6a6a&limit=10
Response format: JSON

Source: Maritime and Port Authority of Singapore via data.gov.sg (https://data.gov.sg/datasets/d_8392e9bea6ca351a38f67172ccdf6a6a/view)
Source type: Official open-data catalogue
Endpoint type: Open-data catalogue JSON
Integration difficulty: Copy-paste ready
Production caveat: Still handle empty rows, schema changes, pagination, stale coverage, and temporary upstream failures.

Help me fetch and display this data. Follow the documented format and handle errors, empty responses, stale coverage, caching and rate limits.

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