Agenty integration

What you can do

Connect Agenty to automate web data collection, scraping workflows, and content monitoring with intelligent automation.

• Run scraping agents on schedule. CodeWords triggers your Agenty scraping agents at specified intervals or based on events, collecting data from target websites and delivering results to your database or workflow without manual agent execution.

• Process scraped data automatically. Create workflows that receive data from Agenty agents, clean and transform the results, validate data quality, and route processed information to the appropriate business systems or storage locations.

• Monitor websites for changes. Set up automation that runs Agenty monitoring agents to detect content updates, price changes, or availability shifts on tracked pages, then triggers notifications or actions when changes meet your criteria.

• Aggregate data from multiple agents. Build workflows that coordinate multiple Agenty scraping agents, combine their outputs into unified datasets, and deliver comprehensive results that span various sources, categories, or geographic regions.

• Handle pagination and infinite scroll. Configure Agenty agents through CodeWords to navigate complex site structures, process paginated results, and extract data from dynamically loaded content while maintaining consistency and completeness.

• Export data in multiple formats. Automate the conversion of Agenty scraping results into CSV, JSON, XML, or database formats, then distribute files to cloud storage, email recipients, or integrate directly with analytics platforms.

• Implement error recovery workflows. Design automation that monitors Agenty agent execution, detects failures or incomplete results, implements retry logic, and alerts your team when scraping issues require manual intervention or agent reconfiguration.

• Scale scraping operations efficiently. Manage large-scale data collection by distributing work across multiple Agenty agents, coordinating execution timing to respect rate limits, and consolidating results from parallel scraping operations into unified datasets.