tweets

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

1 row where favorited = 0, quoted_status = 1189555830544355330, retweet_count = 0 and retweeted = 0 sorted by lang

✎ View and edit SQL

This data as json, CSV (advanced)

user 1 ✖

retweeted 1 ✖

retweet_count 1 ✖

quoted_status 1 ✖

  • 1189555830544355330 · 1 ✖

is_quote_status 1 ✖

  • 1 1

created_at (date) 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
1420086929261961217 swyx 33521530 2021-07-27T18:21:22+00:00 Feeling this again. Really humbling to interview people (eg early Google and Docker) and understanding how great problems attract great talent. https://twitter.com/swyx/status/1189555830544355330   1189555830544355330 1189555830544355330   Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 143]             1 0 26 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]);