Best Web Scraping Tools for Microsoft Power BI

Find and compare the best Web Scraping tools for Microsoft Power BI in 2026

Use the comparison tool below to compare the top Web Scraping tools for Microsoft Power BI on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Price2Spy Reviews
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    Price2Spy is equipped to handle almost any type of bot or crawling protection a website might employ. We have faced a variety of challenges and effectively navigated through the majority of them. Manually gathering extensive data can be a time-consuming process. Our web scraping technology completes this task in a matter of minutes, allowing you to direct your attention towards more critical aspects of your business. You can select to extract data from entire websites, specific categories, or brands, catering to a range from hundreds to millions of pages – we accommodate all situations. Being part of the eCommerce industry ourselves, we recognize the detrimental effects of inaccurate pricing information. Thus, we are committed to delivering the most precise and current data available, extending beyond just pricing. Simply provide us with the URLs you wish to scrape, and we’ll handle the rest!
  • 2
    import.io Reviews

    import.io

    Import.io

    $199 per month
    Import.io helps businesses turn public web data into structured, reliable information for analysis and operational use. The platform supports self-service extraction and managed data delivery across websites and marketplaces, with tools for scheduling, APIs, webhooks, screenshots, HTML capture, validation, monitoring, and proxy management. Teams use Import.io to track competitor prices, product availability, assortments, reviews, promotions, and digital shelf changes. Import.io Aperture adds pricing intelligence, product matching, alerts, MAP compliance monitoring, and market visibility. It is designed for ecommerce, pricing, insights, data, and analytics teams that need scalable web data without maintaining fragile in-house scraping infrastructure.
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