tweets
1 row where "created_at" is on date 2021-08-09 and quoted_status = 1231455889019699200 sorted by lang
This data as json, CSV (advanced)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1424588758746161155 | swyx 33521530 | 2021-08-09T04:30:02+00:00 | @dhaiwat10 @supabase it helps but surely isn't the only factor. Stripe is well regarded as a bigger co that is still shipping fast. but on a small team, there is less opportunity for a HIPPO to constantly retard momentum with Apple Pie Positions https://twitter.com/shreyas/status/1231455889019699200 | 1231455889019699200 1231455889019699200 | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [21, 271] | 1424587828982206468 | 1025757442594889734 | dhaiwat10 | 1 | 0 | 7 | 0 | 0 | 0 | en |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);