Automate Scrapfly workflows with AI Agents
Let any team member query Scrapfly-collected data with an AI agent—no coding, just ask in Slack, Teams, or Discord. Enhance your Scrapfly workflows with AI-powered automation in Slack, Teams, and Discord.
Scrapfly is a leading web scraping API built for developers seeking reliable, scalable data extraction from the web. But what happens when you combine Scrapfly’s robust scraping capabilities with Runbear’s powerful AI agent platform? Your team gets instant, conversational access to live web data—directly within Slack, Teams, or Discord. This integration lets teams automate research, speed up data workflows, and collaborate around actionable insights from Scrapfly, all without writing a single line of code.
About Scrapfly
Scrapfly is a web scraping API platform designed to help developers collect, extract, and interact with structured and unstructured web data at scale. It solves common obstacles in modern scraping by automating anti-bot defenses, rotating proxies across 120+ countries, rendering dynamic JavaScript content, and providing fine-tuned browser control for complex automation tasks. Scrapfly supports multiple data output formats, making it adaptable to different team needs. Its primary users are developers, data engineers, and technical teams at organizations that need robust access to web data for research, monitoring, price tracking, competitive analysis, and market intelligence. By delivering reliable, developer-friendly scraping tools, Scrapfly is trusted by teams throughout the data, e-commerce, and market research sectors.
Use Cases in Practice
Integrating Scrapfly with Runbear transforms how your team interacts with web data—removing technical barriers and making real-time information accessible in team chat. For example, marketing teams can ask the AI agent for updated competitor prices collected by Scrapfly and instantly get the answer in Slack. Sales or product managers can schedule daily insights about new product launches on target sites, delivered each morning by the agent. Operations teams might request the latest inventory data from scraped supplier pages and receive cleaned summaries ready to use. For more advanced use, analysts can upload large, raw Scrapfly results and let the AI agent deduplicate and summarize it for executive reporting, echoing capabilities found in simplified business analytics and automated KPI reporting. Each of these scenarios turns traditional, developer-centric scraping into a true team activity, empowering a broader range of team members to tap into web data and drive faster, more informed decisions. The best part: these workflows all take place where your team is already collaborating—no app switching, no extra training.
Scrapfly vs Scrapfly + AI Agent: Key Differences
Runbear transforms standalone Scrapfly data collection into a powerful team-wide resource by embedding AI agent capabilities directly into your communication channels. Instead of handling raw data and manual queries, teams can access, analyze, and act on Scrapfly data collaboratively through natural language. This moves workflows from isolated, developer-heavy tasks to streamlined, AI-powered, collaborative processes accessible by all team members.
Implementation Considerations
Adopting Scrapfly and Runbear together does require some upfront planning. Teams should ensure clear guidelines for responsible web scraping, understand Scrapfly’s API limits, and assign initial admin users to connect Scrapfly APIs with Runbear. Successful workflows depend on team members being briefed on how to ask the AI agent for Scrapfly data, which may need some light onboarding or documentation in early phases. There’s also a need to monitor data security and access permissions—decide who in the team can query sensitive or protected data. Regular checks for data accuracy, API cost monitoring, and feedback loops will help with ongoing optimization. Organizations should prepare some lightweight training sessions to help non-technical team members get value from the AI agent. With the right structure and change management, teams can maximize the impact of Scrapfly+Runbear and avoid common friction points.
Get Started Today
Bringing Scrapfly and Runbear together fundamentally changes how teams collect, unlock, and use web data. AI agents make Scrapfly insights instantly accessible to everyone—in a format and context that drives action. Teams no longer need to wait for developers or struggle with spreadsheets. Instead, they can automate competitive research, run scheduled reports, and collaborate over the latest web data without friction—all inside their preferred team chat. Ready to empower your team with smarter, AI-powered workflows? Try the Scrapfly–Runbear integration and see the difference in your next project, meeting, or campaign.