tweets

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

1 row where "created_at" is on date 2021-09-20, is_quote_status = 1 and user = 50136899

✎ 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
1439976152995545090 Tanner Linsley 50136899 2021-09-20T15:34:02+00:00 "GraphQL helps solve the overfetching problem. In practice, I think the importance of this is overhyped unless you are Facebook or Airbnb." 👏👏👏 https://twitter.com/swyx/status/1439966955570618376   1439966955570618376 1439966955570618376   TweetDeck 9335de48b3673c3f69433a34861c115d1d382be3 0 [0, 144]             1 29 342 0 1 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]);