tweets

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

1 row where in_reply_to_user_id = 15809138, retweeted = 1 and source = "295366d0fb34352a1961af2413827f072adefdb9" sorted by lang

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date)

source 1 ✖

  • Typefully · 1 ✖

in_reply_to_user_id 1 ✖

  • 15809138 · 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
1433595892557225984 jonwu.eth 15809138 2021-09-03T01:01:10+00:00 I was stunned. 1st reaction: "Me?? A newly minted business school graduate? To functionally be CFO?" 2nd reaction: "But...why not me? I can save this company." 3rd reaction: "Holy fuck this person is a sociopath." 4th reaction: "...I want her powers."       Typefully 295366d0fb34352a1961af2413827f072adefdb9 0 [0, 255] 1433595891256991745 15809138 jonwu_       0 72 1614 0 1   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]);