Web Scrapingv1.0.0

Scrape competitor product listings, prices, and reviews from e-commerce sites to analyze market trends and pricing strategies. Use browser automation for dynamic filtering and pagination, outputting structured JSON for comparison.

Extract property details such as price, location, and amenities from multiple real estate websites. Handle dynamic pages with infinite scroll using browser snapshots, normalizing data into a CSV for portfolio analysis.

Scrape headlines, articles, and publication dates from news sites to track trends or generate daily summaries. Use web_fetch for static pages and browser for login-gated content, outputting concise bullet summaries.

Gather job postings including titles, companies, and application links from job boards with pagination and search filters. Employ browser automation to interact with filters, saving results as JSON for recruitment analytics.

Offer subscription-based access to scraped datasets, such as product prices or news feeds, updated regularly. Revenue comes from monthly or annual fees, with tiered pricing based on data volume and freshness.

Provide tailored web scraping services for clients needing specific data extraction, like competitor analysis or market research. Charge project-based or hourly rates, with additional fees for complex dynamic sites.

Develop APIs that deliver scraped data directly into client systems, such as CRM or analytics platforms. Generate revenue through API usage fees or licensing, with scalability for large data jobs.