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The UN Comtrade database provides detailed international trade statistics including import and export values, quantities, and trade flows for 200+ countries across 5,000+ commodity categories. Used in data engineering for trade analytics pipelines, supply chain intelligence, and economic research systems in Python.
The `comtradeapicall` Python library wraps the UN Comtrade API v3. Engineers query bilateral trade flows by reporter, partner, commodity (HS code), and year, paginating through results and storing in PostgreSQL for supply chain analysis and trade network visualization.
UN Comtrade data enables AI-powered trade analysis tools that answer 'What is the largest commodity imported by Germany from China?' with official UN statistics. Supply chain AI models use Comtrade bilateral flows to map global dependencies and identify concentration risks.
# pip install comtradeapicall pandas
import comtradeapicall as comtrade, pandas as pd
# US imports of semiconductors from Taiwan (HS code 854231)
df = comtrade.previewFinalData(
typeCode="C", freqCode="A", clCode="HS",
period="2022", reporterCode="842", cmdCode="854231",
flowCode="M", partnerCode="490", partner2Code=None,
customsCode=None, motCode=None, maxRecords=20, format_output="JSON"
)
print(df[["reporterDesc", "partnerDesc", "cmdCode", "primaryValue"]])Official dataset source
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