tweets
3 rows where "created_at" is on date 2021-08-25 and favorite_count = 2 sorted by lang
This data as json, CSV (advanced)
Suggested facets: source, is_quote_status
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1430332021205659652 | swyx 33521530 | 2021-08-25T00:51:42+00:00 | @dabit3 blog title: “i spent my kids college tuition on internet penguins and learned more than my kids ever will” | Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 | 0 | [8, 114] | 1430267175667965958 | 17189394 | dabit3 | 0 | 0 | 2 | 0 | 0 | en | ||||||||
1430608769319198720 | swyx 33521530 | 2021-08-25T19:11:24+00:00 | @mwarger @FernandoTheRojo @jamonholmgren yup! gqlless was inspired by babel blade. i think the static analysis approach could probably be built into relay/apollo if people cared enough, but ultimately my attention shifted to GraphQL schema creation rather than consumption https://twitter.com/graphqlasia/status/1128284234928418816 | 1128284234928418816 1128284234928418816 | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [41, 297] | 1430602199801999364 | 15886909 | mwarger | 1 | 0 | 2 | 0 | 0 | 0 | en | ||||||
1430608879272955904 | swyx 33521530 | 2021-08-25T19:11:50+00:00 | @dalmaer oh damn, congrats on the new job!! | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [9, 43] | 1430587780732649474 | 4216361 | dalmaer | 0 | 0 | 2 | 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]);