home / twitter

tweets

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

1 row where favorite_count = 2479 and source = "95f3aaaddaa45937ac94765e0ddb68ba2be92d20" sorted by lang

✎ View and edit SQL

This data as json, CSV (advanced)

user 1 ✖

  • Michael Antonelli 1

source 1 ✖

  • Twitter for iPhone · 1 ✖

retweeted 1 ✖

  • 0 1

favorite_count 1 ✖

  • 2479 · 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
1433424538025349120 Michael Antonelli 1310763212 2021-09-02T13:40:16+00:00 If you work on Wall St, or in the investment world, and you can explain complex topics / terms in an easy to understand way, that’s an INSANELY valuable skill.       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [0, 159]             0 121 2479 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]);
Powered by Datasette · Queries took 3516.229ms