When should you use Scrapy for a list of pages?
Use it when you know the fields each page should produce and someone can maintain the Python rules that read them. Keep the source address with each row. Start with a small set of pages you own or have permission to process.
What can you export and check?
Scrapy’s feed exports support formats such as CSV and JSON. Compare the rows with the original pages. Set expected columns before exporting CSV and check which fields go blank when the source layout changes.
What do you keep and who runs it?
The BSD-licensed framework can run on a machine your team operates. Budget for compute and upkeep. Keep the project rules, output schema and a small approved example set so a maintainer can check new results after changes.
Would you catch a missing date before importing records?
Draw three fictional pages from an approved book club site and the CSV you expect. Give the third page no date.
- Choose the resultWrite down whether the third row should have a blank date or wait for review.
- Check a layout changeMove a date under another heading on paper. Mark the original URL and the failed field so someone can review the rule.