Huey

How to use Huey in a web scraping pipeline

Huey moves Python function calls into a background consumer and supports scheduled execution and configurable retries. It can handle small scraping jobs without embedding network work in a request handler.

A practical workflow

1. Queue a function call with a URL and a stable collection key when a page needs refreshing.
2. The consumer runs your HTTP fetcher and parser, checks the extracted record and stores the result outside the queue.
3. Return a result reference, while a delayed or periodic task can request the next collection run.

When it fits

Use it for a Python application's background refresh jobs when the workflow is mostly independent units of work. Keeping a scrape task small makes failures easier to inspect than one task that traverses an entire site.

Boundaries

Choose and operate the appropriate Huey storage backend. The library does not supply browser rendering, URL discovery or per-site access policy. A retried function may repeat external side effects, so use stable write keys and explicit request limits. A scheduled refresh also needs a policy for stale or missing results.