home / twitter

tweets

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

1 row where "created_at" is on date 2021-09-14 and favorite_count = 7 sorted by lang

✎ View and edit SQL

This data as json, CSV (advanced)

user 1 ✖

  • swyx 1

created_at (date) 1 ✖

  • 2021-09-14 · 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
1437919452696354820 swyx 33521530 2021-09-14T23:21:27+00:00 @raae i think api count is one reason. nextjs is very react like in its constrained api surface area. gatsby has dozens and they were hard to learn. that was the precondition for building up a plugin ecosystem, and that become part of the project culture for both better or worse.       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [6, 280] 1437363406554738691 4092141 raae       0 0 7 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 2321.908ms