tweets

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

1 row where "created_at" is on date 2021-12-02, display_text_range = "[25, 300]" and source = "1f89d6a41b1505a3071169f8d0d028ba9ad6f952"

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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
1466195579822694404 swyx 33521530 2021-12-02T00:00:41+00:00 @ShaneaLeven @jeanqasaur naw salesforce tracks sales just pointing out that this data often integrates faster into salesforce than salesforce integrates into other tools, therefore salesforce de facto is the eventual center of gravity for all CRM data unless of course you use @sgrove's @onegraph 😉       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [25, 300] 1466194337088385025 89629801 ShaneaLeven       0 0 1 0 0   en  

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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]);