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Convert addresses to geographic coordinates and reverse geocode coordinates back to human-readable addresses using the OpenCage API. Used in data engineering for geocoding customer address datasets, enriching logistics data with location attributes, and building geospatial pipelines in Python.
The `opencage` Python library provides synchronous and async clients with built-in rate limiting and retry logic. Engineers use it to batch-geocode address columns in pandas DataFrames, adding latitude, longitude, and ISO country codes for geospatial joins.
OpenCage Geocoding enables location-aware AI applications that need to translate text addresses into coordinates and vice versa. Expose it as an MCP tool so LLM agents can look up locations during reasoning — useful for logistics agents, travel planners, and geospatial question-answering systems.
# pip install opencage
from opencage.geocoder import OpenCageGeocode
geocoder = OpenCageGeocode("YOUR_API_KEY")
results = geocoder.geocode("Berlin, Germany")
lat = results[0]["geometry"]["lat"]
lng = results[0]["geometry"]["lng"]
print(lat, lng)Official dataset source
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A suite of APIs covering Maps, Places, Geocoding, Distance Matrix, and Directions from Google. Used in data engineering for geocoding address data, calculating logistics routes, enriching datasets with place attributes, and building geospatial pipelines using the googlemaps Python client.
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