SEO HTML Web Scraper/Parser and Data Extraction

This project is for a web scraper tool. The entire project can be in Python or PHP. I'm interested to hear your thoughts on which is the preferred language. The idea is to start with a web page that requests email and url on a web form. Once submit is pressed, on-page SEO values such as title, H1, meta description and more would be analyzed for their existence and character counts, all using AJAX/jQuery (no page refresh). Complete list of data to be analyzed and parsed: - meta title, description, keyword, robots (count characters on title and desc) - title and description should be compared to url for keywords - canonical url exist? what is it? - is seo friendly url? no variables such as [login to view URL] - facebook open graph tags exist? - twitter card tags exist? - h1, h2, h3, number times used and contents - alt tags on images and contents along with image filename - existence of facebook, twitter, pinterest, linkedin, youtube, google+ links - presence of any inline code (javasript and css) - existence of [login to view URL] file at root directory - does flash exists? - count W3C validation errors - count backlinks, get mozrank using SEOMoz API - grab top keywords using SEMRush Code should handle large volume as it will be used in a CRM in the future. Data extracted should have the ability to add to a mysql database and a export to a PDF for display and sent to the email from the starting web form. See these links for PHP examples: [login to view URL] [login to view URL] This is a good example of a live site: [login to view URL] Thank you for reading this project. I'm looking to find a coder for a long term relationship on future projects. NDA will be required to start work and I prefer US/UK developers. Please let me know if you have any questions on the requirements.