home / twitter

tweets

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

2 rows where lang = "it" sorted by lang

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date)

lang 1 ✖

  • it · 2 ✖

place 0 ✖

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
1422237396096012289 swyx 33521530 2021-08-02T16:46:33+00:00 @sebastienlorber buttondown       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [17, 27] 1422236579951697933 40663578 sebastienlorber       0 0 4 0 0   it  
1452794371317788672 swyx 33521530 2021-10-26T00:29:04+00:00 @tlakomy *cris in Svelte*       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [9, 25] 1452722724602892293 1903060381 tlakomy       0 0 2 0 0   it  

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 809.996ms