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A Simple Web Crawler with Node.js

For business owners, all the data publicly available on the internet can be beneficial. This data can be helpful to generate leads for service providers and reach a bigger audience on the internet. Along with that, the data can also be used for the deep learning project to train the model.

For an Artificial Intelligence (AI) project, the more data you have, the more accurate a model can predict. For one of my recent weather app projects, I used the previous data and found out the importance of such large data. For that reason, I decided to share how to develop a simple web crawler that crawls a website and gets important data.

This article was republished from its original source.
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A Simple Web Crawler with Node.js

On-Site Drupal SEO Master Setup

We make sure your site is 100% optimized (and stays that way) for the best SEO results.

With Pixeldust On-site (or On-page) SEO we make changes to your site’s structure and performance to make it easier for search engines to see and understand your site’s content. Search engines use algorithms to rank sites by degrees of relevance. Our on-site optimization ensures your site is configured to provide information in a way that meets Google and Bing standards for optimal indexing.

This service includes:

  • Pathauto install and configuration for SEO-friendly URLs.
  • Meta Tags install and configuration with dynamic tokens for meta titles and descriptions for all content types.
  • Install and fix all issues on the SEO checklist module.
  • Install and configure XML sitemap module and submit sitemaps.
  • Install and configure Google Analytics Module.
  • Install and configure Yoast.
  • Install and configure the Advanced Aggregation module to improve performance by minifying and merging CSS and JS.
  • Install and configure Schema.org Metatag.
  • Configure robots.txt.
  • Google Search Console setup snd configuration.
  • Find & Fix H1 tags.
  • Find and fix duplicate/missing meta descriptions.
  • Find and fix duplicate title tags.
  • Improve title, meta tags, and site descriptions.
  • Optimize images for better search engine optimization. Automate where possible.
  • Find and fix the missing alt and title tag for all images. Automate where possible.
  • The project takes 1 week to complete.
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