My web crawler remade in 2018, with a few new additional features.

In 2016 I made a basic web crawler, found here , I now remade this to be more efficent and have a few more features, listed below with some more information.

• Map All Connected Pages from any source page.
• Basic search feature for a keyword, enter a keyword and will show all relevant page(s) that have been found and cached.
• Smart page caching, stores all readable words from a html page and saves them in a text file, the link is then stored in the file name and base58 encoded so that URLs can always be saved.
• Quick Statistics, option to in the background quite simply view statistics, such as time used, data used (estimated) and links processed.
• Constant saving so if it exits at anytime it will be able to be quickly restarted.

Make a directory/folder and call it cache, this will store all html data saved and be used for searching, without this it will not be able to place new files there.

pip3 install BeautifulSoup4

pip3 install Base58

pip3 install glob

Stores JSON Files.

Cached html files after they have been downloaded, used for searching, the file names are base58 encoded for the full urls.

{ "processed": { "0": "http://filler.com/" }, "todo": { "0": "http://www.bbc.co.uk/news" } }

Saves all links that have been done so they won't be done again, and the queue of links to be processed.

{ "data": 0, "processed": 0, "time": 0 }

Saves all data related permanent statistics.

• Directory Tree Mapping, possibly with matplotlib
• Graphing Resource Usage
• Links Found
• Stats on interconnected links
• Improving the search by listing off more options