issue_comments: 1314627077
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/datasette/issues/1886#issuecomment-1314627077 | https://api.github.com/repos/simonw/datasette/issues/1886 | 1314627077 | IC_kwDOBm6k_c5OW54F | 11788561 | 2022-11-15T01:19:54Z | 2022-11-15T01:19:54Z | NONE | Datasette usage comments for its 5th anniversary celebration: I use Datasette and related tools for a Cosmology Researcher Talks database app project, which is [described in the github Readme](https://github.com/jrdmb/cosmotalks-datasette#readme) The app hosted on the Google Cloud Run service also uses other Datasette-related tools developed by Simon - datasette-render-markdown, csvs-to-sqlite, datasette-template-sql, and datasette-block-robots. This is one of two apps used for querying the talks database, each has it pros/cons as described in the github Readme. At present, over 170 different sites that host cosmology talks are scraped to collect new talks for import into the sqlite database. The shot-scraper and sqlite-utils tools are a major help for this. I also use the Mastodon API to get my favorites, toots, and boosts into a local database so I can do searches on the data. This was done on Twitter and was then extended to the Mastodon data. Again, sqlite-utils is an important tool for this. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1447050738 |