Integrations

Supercharge Scraping Ant with Relevance AI

ScrapingAnt is a powerful web scraping solution that allows developers to extract data from websites through an API, handling complex scenarios like JavaScript rendering and proxy management. With Relevance AI, you can elevate your scraping efforts by leveraging AI Agents to automate data analysis and decision-making.

Give your AI Agents Scraping Ant Superpowers

ScrapingAnt provides robust web scraping solutions with features like automated browser-based extraction and proxy rotation. Relevance AI amplifies these capabilities by enabling AI Agents to intelligently process and analyze the scraped data, turning it into actionable insights.

Global Data Orchestration

Enables the AI agent to seamlessly gather and process web data from multiple countries using geolocation-specific proxies

Dynamic Content Mastery

Empowers the agent to extract data from JavaScript-heavy websites and complex web applications with browser-based rendering

Real-time Market Intelligence

Grants the agent continuous access to live market data for immediate analysis and decision support

Tools

Equip AI Agents with the Scraping Ant Tools they need

Relevance AI seamlessly integrates with ScrapingAnt to enhance your web scraping workflows with intelligent data extraction capabilities.

Quick Start

Connect Scraping Ant to Relevance AI in minutes

Security & Reliability

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the ScrapingAnt + Relevance AI integration without writing code:
  • Start with clear scraping goals: Define the specific data you need to extract to streamline your scraping process.
  • Utilize advanced configurations: Take advantage of options like proxy rotation and JavaScript rendering to handle complex sites effectively.
  • Monitor your API usage: Keep an eye on your rate limits and adjust your scraping frequency to avoid throttling.
  • Test with sample URLs: Validate your scraping setup with less critical URLs before scaling to larger datasets.
  • Implement error handling: Use proper error management to address common issues like authentication errors and proxy failures.