data-scraper-agent

You can automate web scraping and store results in Notion by running a scheduled data pipeline that scrapes public sources, enriches the data with AI, and syncs the deduplicated output directly to your Notion workspace.

Yes, you can schedule a data scraping pipeline using GitHub Actions completely free for public repositories, automating the collection, AI enrichment, and storage of web data without manual intervention.

AI data enrichment processes scraped web data by applying a configurable AI model to generate summaries and scoring, transforming raw public source data into structured, actionable insights before storage.

You can monitor job boards or price changes automatically by deploying an end-to-end data pipeline that schedules scraping tasks, applies AI enrichment, removes duplicates, and stores the updated results.

Yes, the web scraping agent supports storing enriched data in Google Sheets and Supabase, applying deduplication to ensure your database or spreadsheet remains clean and free of repetitive entries.

Feedback-driven learning improves automated data scraping by implementing a lightweight loop where the pipeline learns from user feedback, adjusting future AI enrichment and collection to better match your data needs.