ID most RT'd Tweets, with specified keywords, and write Tweet info to Database Table

$30-250 USD

Concluído

Publicado

há quase 10 anos

$30-250 USD

Pago na entrega

Based on a provided list of about 2000 keywords, I need to run a daily query that identifies the most RT'd (link embedded) Tweet for each keyword over the past 5 days. I then need the ID'd Tweet information (Date, Twitter Name, Twitter User Photo, Twitter Handle, Tweet Text) to update to an already active database table. Each day the Twitter information is updated to the DB table, it needs to remove the previously entered Tweet information so that there is no overlap. If you are interested in the project, in your bid please give a brief summary of how you would approach along with any questions or concerns. Thanks,

MySQL

PHP

Software Architecture

Twitter

ID do Projeto: 6348489

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Ativo há 10 anos

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Concedido a:

@aruna470

Currently I`m working on a such project. I used Twitter keyword search API (search/tweets) to find out users related to particular keywords. In that system I worked with only few keywords, around 10. Your requirement can be achieved but we have to keep in mind that Twitter API has rate limits and we have to address them while searching with large number of keywords. Checkout this demo. [login to view URL] demo demo.123 After you have logged go to People --> Social Activites & Followups Feeds that you see are comes from Twitter and Facebook keyword searching APIs. There is a background process which executed each hour and collect matching Tweets.

$155 USD em 5 dias