In both cases, the same data is needed:
Post_id ( the text )
User Name (Text)
The Text (Text)
Post_text (text of text)
shared_text (the text)
time (the time of date)
The image (Text)
Likes + Other Reactions (INT)
The comments (INT)
The Shares (INT)
comment[x] {post_id, username, text...}
The result must be recorded in a normalized mysql database, where there are:
1 main table of posts (with the fields listed above)
2 comments tables (original post_id + the same field that is)
3 tables of search queries with fields (ID queries, post_id )
4 user queries tables (username, post_id )
It can be added to the function of existing scrapers [+free API],
The main thing that could be linking posts on the search request with posts from user profiles by username/user_id.
Нужны два python скрипта, для получения постов Twitter по "ключевой фразе и дате" и по "юзернейму" (последние xx постов).
В обоих случаях нужны одинаковые данные:
post_id (TEXT)
username (TEXT)
text (TEXT)
post_text (TEXT)
shared_text (TEXT)
time (DATETIME)
image (TEXT)
likes + остальные реакции (INT)
comments (INT)
shares (INT)
comment[x] {post_id, username, text...}
Результат нужно записать в нормализованную базу данных mysql, где есть:
1 основная таблица постов (с перечисленными выше полями)
2 таблица комментариев (оригинальный post_id + те же поля, что есть)
3 таблица поисковых запросов с полями (id запроса, post_id )
4 таблица запросов по юзерам (username, post_id )
разультат можно подогнать под функционал существующих скрейперов [+бесплатного api],
главное что бы можно было связать посты по поисковому запросу с постами из профилей юзеров по username/user_id.
Client's feedback on cooperation with Konstantin Stadnik
Twitter Data AnalysisThank you for the successfully completed project.
Freelancer's feedback on cooperation with Nikolay Mashkov
Twitter Data AnalysisA great customer. Clear and clear, I was very pleased to collaborate. I recommend
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