lakshyakumar / lakshyakumar/Knowledge-Base-AI
🌐 Enable Web Search for URL Discovery
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- Dominant language
- Python
- Stars
- 0
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
Description:
Users are currently required to manually enter URLs for scraping. This task aims to eliminate that friction by enabling topic-based web search. The user can provide a topic or question, and the system should automatically retrieve a curated list of relevant web pages for further scraping and processing.
Acceptance Criteria:
- Accept a natural language topic or query from the user.
- Use a search engine API (e.g., SerpAPI, Bing Web Search, Brave API) to fetch relevant URLs.
- Filter and clean search results for duplicates, broken links, and irrelevance.
- Feed the list into the scraper for content extraction.
📘 Note: Please read and follow the Contribution Guide before starting work on any of the tasks listed below.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading CONTRIBUTING.md and tracing how the FastAPI application currently accepts URLs and feeds them into scraping and processing. Identify the relevant entry points and determine how a search provider would be configured. Done means a natural-language topic retrieves cleaned, relevant URLs and passes them through the existing scraper.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- fastapi, python
- Domain
- api, backend, search
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100