BrowserAct vs Supavec

BrowserAct is an AI-powered web scraping tool that lets you extract data from any website without writing code. It uses natural language prompts to create browser automation workflows, making it accessible for marketers, researchers, and analysts who need reliable data fast. The platform handles complex site obstacles like pop-ups, CAPTCHAs, and geo-restrictions by mimicking human browsing behavior, ensuring smooth and uninterrupted scraping.

This tool runs your scraping tasks continuously on a cloud platform, so your workflows operate 24/7 without downtime or maintenance. It integrates easily with popular automation tools like n8n, Make, and Zapier, allowing you to connect web data directly into your business processes. BrowserAct also offers a marketplace with ready-made templates and a community for sharing and improving workflows.

BrowserAct’s dual-mode data capture combines AI-driven browser automation with traditional scraping methods to deliver accurate, hallucination-free data. It automatically switches between large language models and standard scrapers to optimize speed and cost. The platform supports global IP routing, enabling you to gather region-specific information effortlessly.

The team behind BrowserAct has years of experience in robotic process automation and web automation, focusing on making data acquisition simple, affordable, and accessible for everyone. Whether you want to track prices, monitor brand mentions, or automate research, BrowserAct provides a no-code, scalable solution that adapts to any website and use case.

Overall, BrowserAct stands out by offering a reliable, always-on scraping service that requires no coding skills, integrates with your existing tools, and supports a growing ecosystem of templates and community-driven workflows.

Supavec is an open-source platform that enables developers to build Retrieval-Augmented Generation (RAG) applications by integrating any data source with large language models. It enhances AI responses by retrieving precise, context-aware information from user documents, rather than relying solely on general AI knowledge. This approach improves accuracy and relevance in AI-powered applications.

The platform targets developers, sales agencies, support teams, and businesses that need scalable, secure, and customizable RAG solutions. It supports use cases like sales call analysis, support knowledge bases, internal policy queries, and developer documentation search, making it versatile across industries.

Supavec offers full transparency and control by being fully open source under the MIT license and built on Supabase with row-level security to protect data privacy. Users can self-host on their own infrastructure or use Supavec's cloud service, avoiding vendor lock-in and ensuring compliance with enterprise security requirements.

The platform supports fast ingestion of documents, transcripts, and tickets via REST APIs or SDKs, transforming them into searchable vectors. It handles millions of documents and concurrent queries efficiently, with sub-300ms response times for search results. Supavec also features advanced speaker diarization and context-aware chunking for accurate processing of multi-speaker transcripts.

A standout feature is its AI-powered sales call coaching tool that automatically generates actionable coaching briefs from call transcripts, surfacing wins, objections, next steps, and sentiment insights. This helps sales teams improve performance without extra manual effort.

Supavec integrates smoothly with existing tools like Zoom, Fireflies, Gong, HubSpot, Salesforce, and Microsoft Teams, fitting into current workflows without requiring platform migration. Its REST API and open-source nature allow for custom integrations and modifications tailored to specific needs.

Overall, Supavec is a flexible, scalable, and privacy-focused RAG platform that empowers developers and businesses to build AI applications leveraging their own data with full control and transparency.