tweets

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

1 row where "created_at" is on date 2021-08-29, retweet_count = 1, source = "95f3aaaddaa45937ac94765e0ddb68ba2be92d20" and user = 33521530 sorted by lang

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source 1 ✖

  • Twitter for iPhone · 1 ✖

retweet_count 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
1431856166041112580 swyx 33521530 2021-08-29T05:48:07+00:00 @amasad “bring class to the masses” is my favorite phrasing of this. also can dissect by expertise instead of wealth: “let non X do X” https://twitter.com/swyx/status/1287893745103286272?s=21   1287893745103286272 1287893745103286272   Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [8, 160] 1431694805977878535 166138615 amasad       1 1 27 0 0 0 en  

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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]);