Geocode.xyz | Here | ||
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Free requests | Yes (throttled @ 1req/second) | 1,300 / day | |
Pay as you go | $2.5 per 1,000 requests | $5 per 1,000 requests | |
Unlimited Plan | USD200 / month | ||
AWS Marketplace Server Option | |||
No Contracts | |||
No Usage Restrictions | |||
Bulk Geocoding | |||
Reverse Geocoding | |||
Freeform text Geoparsing | |||
Worldwide post code lookups | |||
Worldwide IP Address lookups | |||
Custom features at no cost | (on a case-by-case basis, Contact us) | - | - |
What our clients are saying.
Date: March 19, 2021 at 9:53:34 AM EDT Dear Geocode.xyz team, Firstly, I would like to thank you for creating such a useful tool. I have a list of unstructured and messy Indian addresses that is not possible to clean automatically and I was so surprised to find out how precisely the geocode.xyz could identify the geo coordinates despite spelling errors, and some unnecessary information like Floor number in the address line. I tried before Openstreetmap and it could only give me the geocode of the postcodes at most. I read that you first geoparse the address and identify only the necessary information and then extract the coordinates but I still was wondering how do you do that? And why using Google Maps for batch geocoding cannot identify the coordinates for the same messy address, whereas geocode.xyz can. Sometimes, the geocodes could identify precisely the name of the firm! It's fascinating and I would highly recommend using your service, especially for economic research in developing countries where micro-level data are not of good quality. Alina Mulyukova Kiel Institute for the World Economy Kiellinie 66 | 24105 Kiel, Germany www.ifw-kiel.de/experts/ifw/alina-mulyukova