Create a Database of Business Information from 240M websites

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I have a list of 240 million websites I'd like to crawl and want to do that in the most cost-effective /quickest way.

This would likely be accomplished with a web crawler that you would create to categorize the websites it crawls and sorts them into various categories while extracting key information such as. Business name, emails, phone numbers, addresses. I would also like to track the technologies the websites used for example Shopify.

Here is how I would like websites to be processed

1. Determine if the website is in English

2. Determine the category of the website.

3. Determine if the website is for a business

5. Determine the category of business

6. If website is a business scrape the information using NLP (get as many pre-determined fields as possible)

7. Schedule to update information in 3 months.

Please let me know how you'd approach the project(roughly) in your proposal.

大数据 NLP 数据科学 数据挖掘 机器学习(ML)

项目ID: #34307535

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ExpertSoul

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ARTICLEYOUWANT

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