# Fastest Way to Load Data Into PostgreSQL Using Python

DevFeed: [Fastest Way to Load Data Into PostgreSQL Using Python](<https://devfeed.tech/articles/fastest-way-to-load-data-into-postgresql-using-python-33904.md>)

Original publisher: [Read original article](<https://hakibenita.com/fast-load-data-python-postgresql>)

Author: Haki Benita

Published: 2019-07-08T21:00:00Z

Content type: tutorial

Language: en

Sources: [Haki Benita](<https://devfeed.tech/sources/haki-benita.md>)

Topics: [PostgreSQL](<https://devfeed.tech/topics/postgresql.md>), [Python](<https://devfeed.tech/topics/python.md>), [data](<https://devfeed.tech/topics/data.md>), [API](<https://devfeed.tech/topics/api.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [articles](<https://devfeed.tech/tags/articles.md>), [data](<https://devfeed.tech/tags/data.md>), [database](<https://devfeed.tech/tags/database.md>), [performance](<https://devfeed.tech/tags/performance.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [python](<https://devfeed.tech/tags/python.md>), [remote](<https://devfeed.tech/tags/remote.md>)

## AI overview

A practical tutorial on importing large, messy data from remote sources into PostgreSQL with Python and Psycopg2. It covers cleaning and transforming data, handling paged API results, and connecting to PostgreSQL.

## Source excerpt

Explore the best way to import messy data from remote source into PostgreSQL using Python and Psycopg2. The data is big, fetched from a remote source, and needs to be cleaned and transformed.