The service for crawling websites (experimental)

• Docker
• Make
• Phoenix framework
• Redis for jobs processing
• Cassandra for the persistent storage

From the project root, inside shell, run:

• make pull to pull latest images
• make init to install fresh dependencies
• make up to run app containers

Now you can visit localhost:4000 from your browser.

• make down - to extinguish running containers
• make help - for additional commands

1. The user adds new source URL -> new async job started
2. Inside the job:

• Normalize URL (validate schema, remove trailing slash, etc...)
• Store link in DB, if link already exists, than exit
• Parse HTML links and metadata
• Store it in different tables
• Normalize links, check wether it relational or not.
• Check links are external
• For each non-external link -> schedule new async job with some random interval

3. Thats literally it

To see it in action, go to the localhost:4000/crawl and type any kind of URL.

To see some search results visit localhost:4000/search.

The default keyspace is storage

Tables:

• site_statistics contains source URLs and counting parsed links
• sites contains URL and HTML parsed
• sites_by_meta contains URL and parsed metadata

For LIKE-style search queries SASI index needs to be configured.

See schema.cql and cassandra.yaml for more detail.

• Visit localhost:4000/jobs to see crawling jobs in action
• Visit localhost:4000/dashboard to see core metrics of the system

MIT. Please see the license file for more information.