web-graph

Web Graph

Experiment with web scraping

View it live! https://jamesjarvis.github.io/web-graph/

If you want to start from a different url, you can change the query string! (Note that you can only look at urls that are indirectly discoverable from the root jamesjarvis.io).

Example: https://jamesjarvis.github.io/web-graph/?url=https://en.wikipedia.org/wiki/London

The basic idea of this is that I wanted to be able to crawl from a single URL, and scrape the entire tree of links it can traverse.

Rough overview:

Crawler is given a url. It first checks that this url has not been crawled already, if it has, then it just moves on. Then it checks that the url is accessible, it'll do some small exponential backoof, but then returns PageDeadError If it can, it will download the page source, and scrape all 'a' elements, and the href attribute from that. Then it sends all these scraped URL's to the back of a list, and the process repeats.

Essentially, this is a breadth first crawl of the whole internet, or at least until either my 1TB hard drive runs out of space, or virgin media cuts me off.

The API

https://api.jamesjarvis.io

If you want to mess about with the API directly, you need to know that the "id" of each page is calculated as the following:

SHA1(hostname + pathname).hex()

If you want to find out the id's of pages found on a particular host, you can use: https://api.jamesjarvis.io/pages/jamesjarvis.io

If you want to find info of a page, along with the id's of pages linked from this page, use: https://api.jamesjarvis.io/page/5bc63ce53c8aaede0889ee9e90276affbbba7573

If you want to find the links to a page (v useful for discovering backlinks), use: https://api.jamesjarvis.io/linksTo/5bc63ce53c8aaede0889ee9e90276affbbba7573

To run

docker-compose up --build -d && docker-compose logs -f link-processor

Then open localhost:8080 and enter your credentials from Your database environment file Note, if running this on an rpi, stop the pgadmin service with docker compose stop pgadmin as it is not compiled for ARM.

To see the UI, open the frontend/index.html file in a browser.

DB Schema

Page

Link