tweets

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

1 row where quoted_status = 1431066787446079488 and user = 33521530

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date)

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
1431069933580918786 swyx 33521530 2021-08-27T01:43:54+00:00 Yes I know about two way doors. Its an ok analogy, just incomplete: Most people just deal with doors as they are. Wise people start making their own hinges. Founders carry axes everywhere. https://twitter.com/geoff_l/status/1431066787446079488?s=21   1431066787446079488 1431066787446079488   Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [0, 217] 1431061845947805706 33521530 swyx       1 0 8 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]);