Prompt

I'm unhappy with Scrapy for scheduling recurring jobs

Technology / Cloud Infrastructure1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

If you’re unhappy with Scrapy for scheduling recurring jobs, that’s pretty understandable—Scrapy is a great crawling framework, but it’s not really a scheduler or job orchestrator.

A few better options depend on what you mean by “recurring jobs”:

If you just need “run this scraper every X minutes/hours”

  • cron / systemd timers: simplest and very reliable
  • GitHub Actions / CI schedules: good for lightweight periodic runs
  • Airflow / Prefect / Dagster: better if you want visibility, retries, dependencies, and monitoring

If you need distributed job scheduling

  • Celery beat with Celery workers
  • RQ Scheduler if you’re already using Redis/RQ
  • APScheduler for in-app scheduling, though it’s more limited for serious production orchestration

If the issue is with scraping itself

You might keep Scrapy for the crawl logic, but use:

  • a scheduler to trigger runs
  • a queue/worker system to manage execution
  • storage for deduping and incremental crawling

Common architecture

  • Scheduler: cron/Airflow/Prefect
  • Crawler: Scrapy
  • Queue/runner: Celery/RQ or just a subprocess
  • State store: DB/Redis/S3

If you want, I can suggest:

  1. the best replacement for Scrapy scheduling based on your setup, or
  2. a simple architecture for recurring crawls using Scrapy plus a proper scheduler.

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