tweets

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

2 rows where lang = "tl" sorted by lang

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date)

lang 1 ✖

favorited 1 ✖

  • 0 2
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
1437105219662385155 swyx 33521530 2021-09-12T17:25:59+00:00 @SabrinaTjeng kiao ka lol       TweetDeck 9335de48b3673c3f69433a34861c115d1d382be3 0 [14, 25] 1437105076460351491 46562891 SabrinaTjeng       0 0 0 0 0   tl  
1444368743576981504 swyx 33521530 2021-10-02T18:28:38+00:00 @supabase supabase is gganbu       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [10, 28] 1444304980211421191 1219566488325017602 supabase       0 0 20 0 0   tl  

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]);