dgtlmoon / dgtlmoon/changedetection.io
[feature] Scrape data from multiple pages of a search, then run filters on complete dataset
- Dominant language
- Python
- Stars
- 34.3k
- Forks
- 2.1k
- Avg merge
- 22h 52m
- Merged PRs (30d)
- 70
Description
Version and OS
v0.40.1.1
Is your feature request related to a problem? Please describe.
It would be nice if the application could use browser steps to navigate through multiple pages, store the filtered data, then run the rest of the rules on the whole data set. Example would be an Amazon product search with 200 results spanning multiple pages.
Describe the solution you'd like
Be able to configure the visual browser steps to go through the pages and do what is described above.
Describe the use-case and give concrete real-world examples.
Amazon.com, Walmart.com, Target.com all have product search results that span multiple pages. Currently I set up a rule for each page but this doesn't work great either because as products are added or removed everything shifts. If the whole search could be done together this could be remedied.
Additional context
Thank you for all your hard work the application is awesome!
Contributor guide
Research direction
No files, tests, or entry points are named. Start by tracing how visual browser steps, pagination, filtering, and rule evaluation currently work, then define how a complete multi-page dataset should be collected and filtered; done means one configured rule handles changing multi-page search results from sites such as Amazon, Walmart, or Target.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- web-dev
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100