home / twitter

tweets

This is data scraped from swyx's timeline! See blog post

1 row where display_text_range = "[0, 248]" and retweet_count = 16 sorted by coordinates

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date)

source 1 ✖

  • Twitter for iPhone 1

retweet_count 1 ✖

  • 16 · 1 ✖

display_text_range 1 ✖

  • [0, 248] · 1 ✖
id user created_at full_text retweeted_status quoted_status place source truncated display_text_range in_reply_to_status_id in_reply_to_user_id in_reply_to_screen_name geo coordinates ▼ contributors is_quote_status retweet_count favorite_count favorited retweeted possibly_sensitive lang scopes
1452745670071250944 swyx 33521530 2021-10-25T21:15:33+00:00 Advice that changed my writing forever: It’s not about sitting down every week and coming up with an idea each time. It’s about working on 50 different potential ideas at once, and publishing the most-ready one each week. https://www.swyx.io/writing-mise-en-place/       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [0, 248]             0 16 148 0 0 0 en  

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE [tweets] (
   [id] INTEGER PRIMARY KEY,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [full_text] TEXT,
   [retweeted_status] INTEGER,
   [quoted_status] INTEGER,
   [place] TEXT REFERENCES [places]([id]),
   [source] TEXT REFERENCES [sources]([id]), [truncated] INTEGER, [display_text_range] TEXT, [in_reply_to_status_id] INTEGER, [in_reply_to_user_id] INTEGER, [in_reply_to_screen_name] TEXT, [geo] TEXT, [coordinates] TEXT, [contributors] TEXT, [is_quote_status] INTEGER, [retweet_count] INTEGER, [favorite_count] INTEGER, [favorited] INTEGER, [retweeted] INTEGER, [possibly_sensitive] INTEGER, [lang] TEXT, [scopes] TEXT,
   FOREIGN KEY([retweeted_status]) REFERENCES [tweets]([id]),
   FOREIGN KEY([quoted_status]) REFERENCES [tweets]([id])
);
CREATE INDEX [idx_tweets_source]
    ON [tweets] ([source]);
Powered by Datasette · Queries took 828.933ms