YouTube Data Scraping & Database Management
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Post a project like this€3.0k(approx. $3.2k)
- Posted:
- Proposals: 31
- Remote
- #4051560
- OPPORTUNITY
- Expired
Laravel| Wordpress| Codeigniter| PHP| Drupal|Magento|Project Management & Software QA Engineer
London
Full Stack Web Developer | HTML | CSS | JavaScript | NodeJS | PostgreSQL | Mongo DB| React Native | React | NextJS | AdobeXD | Social Media Manager | Content Strategy | Content Creation
Karachi
UK-based Design Specialist | Skilled Multimedia Expert |Photo & Video Editor, Graphic designer, 2D Animator
London
9062789661866570100747057775794033386420808949956906247810296212102337411002495310315953
Description
Experience Level: Expert
Estimated project duration: 1 - 6 months
3 Scraping Projects // Database Creation // Database Syncing // Data Flow Management // Duplicate Management // Error Handling.
Full Specifications Attached.
We’re a YouTube influencer marketing agency. We help enterprises find and partner with Youtube content creators for sponsorships. A new project of mine is a software that allows clients of ours to manage their campaigns with us in a dashboard and get an overview of the current status of each sponsorship while we internally manage the relationships with the content creators on the clients behalf.
The goal of the data scraping project is to remove the need for third party data providers and to build out our own data warehouse which we can use to service our clients better within the web app.
The goal is to have a clean, ever updating dataset of Youtube channels which we can present in our web app to clients so they can request to work with those particular creators.
Our internal data is hosted on Supabase for campaign management/ user authentication etc.. We also have a related table for the ‘creators’ in here but I believe for the more ‘heavy’ data, we should use MongoDB or some other noSQL database. Some operational related data should still be stored in the relational database for easy querying. The MongoDB could be used to allow users to search/filter the database…. Maybe postgresql is sufficient here and I am just complicating it but your feedback will help.
Full Specifications attached.
Full Specifications Attached.
We’re a YouTube influencer marketing agency. We help enterprises find and partner with Youtube content creators for sponsorships. A new project of mine is a software that allows clients of ours to manage their campaigns with us in a dashboard and get an overview of the current status of each sponsorship while we internally manage the relationships with the content creators on the clients behalf.
The goal of the data scraping project is to remove the need for third party data providers and to build out our own data warehouse which we can use to service our clients better within the web app.
The goal is to have a clean, ever updating dataset of Youtube channels which we can present in our web app to clients so they can request to work with those particular creators.
Our internal data is hosted on Supabase for campaign management/ user authentication etc.. We also have a related table for the ‘creators’ in here but I believe for the more ‘heavy’ data, we should use MongoDB or some other noSQL database. Some operational related data should still be stored in the relational database for easy querying. The MongoDB could be used to allow users to search/filter the database…. Maybe postgresql is sufficient here and I am just complicating it but your feedback will help.
Full Specifications attached.
Conor F.
100% (1)Projects Completed
1
Freelancers worked with
1
Projects awarded
50%
Last project
11 Nov 2020
Ireland
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