Description
A tool used to parse hundreds of thousands of pages per minute to build a database of backlinks. The system efficiently collects information about valuable links on the internet by scanning 2 billion pages each month.
This process works in multiple stages:
- Stage 1: Scanning and parsing web pages.
- Stage 2: Analyzing link quality and relevancy.
- Stage 3: Compiling data into a structured format.
Outcome: Ultimately, a database is created which enables:
- Extraction of data from individual pages.
- Compilation of comprehensive statistics.
- Evaluation of links in terms of their value and content.
The system leverages a MongoDB database to generate insightful reports. These reports are crucial for:
- SEO optimization strategies.
- Analysis of competitive landscapes.
- In-depth understanding of specific internet niches.
Tech stack
- Front-End: Vue.js, HTML5, CSS3
- Back-End: Go
- Databases: MongoDB
- DevOps: Docker, Linux
Project Links
Check out the project on GitHub: