Integrations

Supercharge Scraping Bot with Relevance AI

ScrapingBot is a powerful web scraping API that enables automated data collection from diverse sources like search engines and social media. By integrating with Relevance AI, you can transform raw data into actionable insights, empowering your AI Agents to drive informed decisions.

Give your AI Agents Scraping Bot Superpowers

ScrapingBot provides robust web scraping capabilities that allow you to gather data from various online sources. With Relevance AI, you can leverage this data intelligently, enabling AI Agents to analyze and act on insights in real-time.

Real-Time Data Orchestration

Empowers AI agents to dynamically collect and process live web data across multiple sources simultaneously

Intelligent Pattern Recognition

Enhances the agent's ability to identify trends and insights from vast amounts of structured web data

Cross-Platform Data Synthesis

Combines data from multiple social networks and web sources to create comprehensive analytical insights

Tools

Equip AI Agents with the Scraping Bot Tools they need

Relevance AI seamlessly integrates with ScrapingBot to enhance your data extraction workflows.

ScrapingBot - Scrape Search Engine
A specialized tool for extracting search results from major search engines like Google and Bing, with support for country-specific searches and multiple output formats
ScrapingBot - Request Social Media Scraping
Advanced scraping tool designed to extract data from various social media platforms including LinkedIn, Instagram, Facebook, Twitter, and TikTok profiles, posts, and hashtags
ScrapingBot - Scrape Webpage
Versatile web scraping tool that extracts content from any webpage with specialized support for retail and real estate data extraction
ScrapingBot - Get Social Media Scraping Data
Tool for retrieving the results of previously initiated social media scraping jobs using response IDs
Name
ScrapingBot API Call
Description
Make an authorized request to a ScrapingBot API
Parameters
["OAuth Account Authentication", "HTTP Method Selection", "Custom Request Headers", "Request Body Configuration", "API Path Customization"]
Use Case
An e-commerce analytics company uses ScrapingBot API to automatically monitor competitor pricing across multiple websites, enabling real-time price adjustments and market analysis through automated data collection and processing.

Security & Reliability

The ScrapingBot integration uses secure API authentication with OAuth tokens, ensuring authorized access to web scraping capabilities across search engines, social media, and websites. Relevance AI handles complex scraping operations and anti-bot bypassing in the background—so you don't have to manage proxies, formatting, or rate limits.

Built-in response validation and data format conversion ensure your scraping workflows run smoothly, with support for multiple output formats including JSON and HTML.

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 ScrapingBot + Relevance AI integration without writing code:
  • Start with a clear scraping strategy: Define your data needs and target sources to ensure efficient scraping.
  • Utilize predefined scraping templates: Leverage ScrapingBot's templates for common tasks like search engine results or social media profiles to streamline your setup.
  • Authenticate carefully: Double-check your OAuth credentials and permissions to avoid authentication issues during integration.
  • Test your requests: Run initial scraping requests on a small scale to validate your setup and avoid large-scale errors.
  • Monitor for rate limits: Implement request throttling and monitor your usage to prevent hitting API rate limits.