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Full Stack Development and YouTube API

YouTube Rankings and Analytics - API Data Collector, Database, Fast+light+responsive front-end website

Project Brief: Create a YouTube analytics Database, that outputs to a well structured database, rendering to a website front-end to display the active data variables of YouTube channels and videos. (views, subscribers, likes, metadata, video duration, etc).

Full Stack development

- Create a strong Database schema architecture

- YouTube API (or scrape if required) for data on up to 10,000 (supplied) identified channels + videos

- Database complex scraped & computed data, including hourly view stats

- Build public web front end, as per provided graphic designs

- Complete data analytics to produce visual and data outputs

- Ensure stable and consistent scraping and analytics

Must have

- Availability to complete the project in a suitable timeframe

- Deep understanding of the ecosystem of YouTube (ie: view, velocity, meta data, APIs)

- Solutions focused approach to projects, to create great outcomes

Consideration for Python/Django/Bootstrap/JS/Angular/React/R; however completely open to your preferred best suggestion.

For easiest scoping and implementation – this complete project – is to be a direct replication of an existing Live site (provided upon contact).

Provided site to replicate, encompasses entire project, to ensure complete and detailed scope without any ambiguity. This should also assist with faster development, having full awareness of the finalized needs.

This initial scope, only replicates already existing functionality from existing public resource. These outcomes are publicly visible to ensure easier modelling.

API data / Scraper to work only with public data (this initial project does not include any user-authorized channel access).

In your application, please include a URL of any public website that currently does some or all of this function - in order to demonstrate your awareness of the requirements.

Please apply and make contact, for further specific information - provided to applicants with qualified skills/experience.

Questions welcome, to provide further clarity.

Квалификация: Python, Django, NoSQL Couch & Mongo, Javascript, Веб-скрейпинг

О работодателе:
( 0 отзыв(-а, -ов) ) Los Angeles, United States

ID проекта: #20286637

30 фрилансеров(-а) в среднем готовы выполнить эту работу за $2290

mingxiao2008

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(103 отзывов(-а))
7.9
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7.7
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7.0
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