blog-scraper

To scrape RSS feeds for keyword monitoring across multiple blogs, you configure feed URLs and apply keyword and date filters to the parsed posts. This Skill fetches RSS or Atom feeds, aggregates content by keywords, and outputs filtered results in JSON or summary formats for industry monitoring.

The best way to aggregate blog posts from multiple RSS feeds by keyword is using a scraper that supports multi-blog aggregation and keyword filtering. This Skill collects posts from various RSS or Atom feeds, applies keyword and date filters, and outputs organized JSON or summaries for content aggregation.

To scrape blog content from JavaScript-heavy sites lacking standard RSS feeds, you need a fallback mechanism for dynamic rendering. This Skill provides an optional Apify integration that fetches posts from JS-heavy sites when standard RSS or Atom feed parsing is insufficient.

You do not need an Apify account to use this blog scraper for standard RSS feeds. Apify is an optional fallback used only for scraping JS-heavy sites that do not provide standard RSS or Atom feeds, while core feed discovery and parsing require only the requests dependency.

Yes, you can filter scraped blog posts by date and specific keywords. This Skill supports keyword and date filtering applied to posts fetched from RSS or Atom feeds, allowing you to narrow down aggregated content for targeted competitive intelligence and industry monitoring.

JSON and summary outputs are supported when scraping RSS feeds for content aggregation. This Skill fetches and organizes blog posts from RSS or Atom feeds, delivering results in structured JSON or concise summary formats after applying keyword and date filters.