Webtap
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About
Webtap is an AI-driven web scraping platform designed to simplify the process of data extraction from the internet. By leveraging natural language processing, the tool allows users to define what data they need using plain English commands rather than writing complex code or configuring brittle CSS selectors. This approach significantly lowers the barrier to entry for data collection, making it accessible to non-technical users while providing the scale and flexibility required for professional data gathering. The tool features a universal scraper that can navigate most public websites, alongside tailored support for over 100 specific high-traffic sites to ensure maximum reliability and accuracy for common targets. In practice, Webtap operates by interpreting user prompts and automatically handling the underlying technical challenges typically associated with web scraping. This includes managing a rotation of proxies to avoid blocks, executing click and scroll automations to uncover hidden content, and performing smart crawling across multiple pages of a domain. Users can transform raw web content into structured data formats, which is particularly useful for building datasets or feeding information into other business applications. The platform's API also allows for programmatic access, enabling developers to integrate AI-powered extraction directly into their own workflows or products without managing their own scraping infrastructure. The service is best suited for market researchers, lead generation specialists, and data analysts who need to monitor competitors, gather product pricing, or aggregate news without investing in a dedicated engineering team. Because it utilizes an AI-first approach, it is especially effective for scraping modern, dynamic websites that often break traditional scraping tools. It serves as a middle ground between manual copy-pasting and expensive custom-built scraping infrastructure, offering a transparent credit system that scales with the user's needs. Large organizations can also utilize the Enterprise tier for more complex, hosted solutions and custom crawler development. What differentiates Webtap from traditional scrapers is its transition from 'selector-based' extraction to 'intent-based' extraction. While older tools require users to manually select specific HTML elements, Webtap understands the context of the data requested through its NL interface. This makes the scrapers significantly more resilient to website layout changes, as the AI can re-identify the relevant information even if the underlying code structure is modified. Additionally, the inclusion of all proxy and resource costs within a single credit-based pricing model provides a level of cost transparency often missing in the enterprise scraping market, where hidden costs for residential proxies are common.
Pros & Cons
Natural language interface eliminates the need for coding or selector knowledge.
Proxy and resource costs are included in the credit price with no hidden fees.
Supports automation of complex actions like clicking and scrolling.
Offers an API for easy integration into existing developer workflows.
No daily limits on data extraction as long as credits are available.
The universal AI scraper is currently in beta and may lack full stability.
Customer support response times can take up to three working days.
Complex web pages may consume more than one credit per page.
Use Cases
Market researchers can use natural language prompts to aggregate competitor pricing and product details without technical expertise.
Lead generation specialists can automate the extraction of contact information from directories using the click and scroll features.
Data analysts can transform raw website content into structured datasets for analysis using the built-in data transformation tools.
Solo developers can integrate the Webtap API into their applications to provide real-time web data extraction features.
Platform
Task
Features
• natural language queries
• api access
• no-code interface
• data transformation
• click & scroll automation
• smart crawling
• 100+ tailored site support
• universal ai scraper
FAQs
How many pages can I scrape with one credit?
One credit allows for scraping approximately one simple page. For example, the Pro plan's 10,000 credits can cover 10,000 simple pages, though complex sites may require more credits per page.
Which websites are supported for scraping?
Webtap offers tailored support for 100 specific websites and features a universal AI-powered scraper that supports most public websites. The team plans to expand tailored support to 1,000 sites soon.
How do I contact support for assistance?
Customer support is available 24/7 via the in-app chat for all users. While they aim to respond within 48 hours, it may take up to three working days during high-volume periods.
Can I scrape a site that isn't currently supported?
Yes, you can use the universal scraper or contact the team through the in-app chat to request support for specific use cases. They are continuously adding new sites to their supported list.
Is there a daily limit on scraping activity?
There are no daily scraping limits imposed by the platform. Users are only limited by the number of credits available in their account balance.
Pricing Plans
Pro Plan
USD19.99 / per month• 10,000 Total Scraping Credits /mo
• Smart Crawling
• Data Transformation
• NL Interface
• Click & Scroll Automation
Enterprise
Unknown Price• Unlimited Credits Monthly
• 24/7 Concierge Support
• Custom Crawler Development
• Custom Data Integrations
• Hosted Solution
• Enterprise-Ready Data Protection
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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