
Overviews
How it works?
Trigger scraping jobs automatically
Set up workflows that initiate web scraping tasks based on schedules, events, or external triggers without manual intervention.
Extract data from multiple sources
Configure scraping jobs to collect information from various websites and consolidate the data into structured formats for analysis.
Process extracted data with AI
Apply AI transformations to clean, categorize, and enrich scraped data before routing it to destination applications.
Monitor scraping job status
Track the progress and completion of scraping tasks through automated status checks and receive notifications when jobs finish.
Handle data export and delivery
Route scraped data to spreadsheets, databases, or business applications in the format your team needs for immediate use.
Schedule recurring data collection
Create time-based workflows that run scraping jobs at regular intervals to keep your datasets current and comprehensive.
Manage scraping configurations
Update sitemap configurations and scraping parameters through workflows to adapt to changing website structures and data requirements.
Validate and quality check data
Implement automated validation rules to verify scraped data completeness and accuracy before integration into downstream systems.

Configure
Build
Automated market research pipeline
Create workflows that scrape competitor pricing, product information, and market trends on schedule, then analyze and deliver insights to your team through automated reports and dashboards.
“You can’t do this anywhere else.”



















































Your stack,
connected.

