MarginaliaSearch/code/processes/crawling-process
Viktor Lofgren b74a3ebd85 (crawler) WIP integration of WARC files into the crawler process.
At this stage, the crawler will use the WARCs to resume a crawl if it terminates incorrectly.

This is a WIP commit, since the warc files are not fully incorporated into the work flow, they are deleted after the domain is crawled.

The commit also includes fairly invasive refactoring of the crawler classes, to accomplish better separation of concerns.
2023-12-11 19:32:58 +01:00
..
src (crawler) WIP integration of WARC files into the crawler process. 2023-12-11 19:32:58 +01:00
build.gradle Implement Warc-recording wrapper for OkHttp3 client 2023-12-08 13:49:16 +01:00
readme.md (docs) Improve architectural documentation for the crawler. 2023-11-30 21:30:57 +01:00

Crawling Process

The crawling process downloads HTML and saves them into per-domain snapshots. The crawler seeks out HTML documents, and ignores other types of documents, such as PDFs. Crawling is done on a domain-by-domain basis, and the crawler does not follow links to other domains within a single job.

Robots Rules

A significant part of the crawler is dealing with robots.txt and similar, rate limiting headers; especially when these are not served in a standard way (which is very common). RFC9390 as well as Google's Robots.txt Specifications are good references.

Re-crawling

The crawler can use old crawl data to avoid re-downloading documents that have not changed. This is done by comparing the old and new documents using the HTTP If-Modified-Since and If-None-Match headers. If a large proportion of the documents have not changed, the crawler falls into a mode where it only randomly samples a few documents from each domain, to avoid wasting time and resources on domains that have not changed.

Sitemaps and rss-feeds

On top of organic links, the crawler can use sitemaps and rss-feeds to discover new documents.

Central Classes

See Also