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Items tagged gitscraping in 2020

Filters: Year: 2020 × gitscraping × Sorted by date


Weeknotes: sqlite-utils 3.0 alpha, Git scraping in the zeitgeist

Natalie and I decided to escape San Francisco for election week, and have been holed up in Fort Bragg on the Northern California coast. I’ve mostly been on vacation, but I did find time to make some significant changes to sqlite-utils. Plus notes on an exciting Git scraping project.

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nyt-2020-election-scraper. Brilliant application of git scraping by Alex Gaynor and a growing team of contributors. Takes a JSON snapshot of the NYT’s latest election poll figures every five minutes, then runs a Python script to iterate through the history and build an HTML page showing the trends, including what percentage of the remaining votes each candidate needs to win each state. This is the perfect case study in why it can be useful to take a “snapshot if the world right now” data source and turn it into a git revision history over time. # 6th November 2020, 2:24 pm

Datasette Weekly: Datasette 0.50, git scraping, extracting columns (via) The first edition of the new Datasette Weekly newsletter—covering Datasette 0.50, Git scraping, extracting columns with sqlite-utils and featuring datasette-graphql as the first “plugin of the week” # 10th October 2020, 9 pm

Git scraping: track changes over time by scraping to a Git repository

Git scraping is the name I’ve given a scraping technique that I’ve been experimenting with for a few years now. It’s really effective, and more people should use it.

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Weeknotes: datasette-auth-passwords, a Datasette logo and a whole lot more

All sorts of project updates this week.

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Weeknotes: Archiving coronavirus.data.gov.uk, custom pages and directory configuration in Datasette, photos-to-sqlite

I mainly made progress on three projects this week: Datasette, photos-to-sqlite and a cleaner way of archiving data to a git repository.

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Tracking FARA by deploying a data API using GitHub Actions and Cloud Run

I’m using the combination of GitHub Actions and Google Cloud Run to retrieve data from the U.S. Department of Justice FARA website and deploy it as a queryable API using Datasette.

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