tweets

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

1 row where quoted_status = 1422809609442500609 and retweet_count = 0

✎ 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
1434265486431191040 swyx 33521530 2021-09-04T21:21:53+00:00 @ashleymayer as a dev startup comms person, i often have to join BEFORE there is a category story, then have to build both the company story and the category story. it’s a lot of work! (my Category Creation notes from 3 startups here) https://twitter.com/swyx/status/1422809609442500609?s=21   1422809609442500609 1422809609442500609   Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [13, 259] 1433532228579979269 18994034 ashleymayer       1 0 1 0 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]);