Automate time consuming data collection with our visual point and click scraping recipe builder.
Hexomatic features automatic field detection and pagination to help you capture products, listings and pricing data in minutes.
Scraping recipes can be combined and enriched using ready made automations.
No coding or PhD in programming required.
Run your scraping recipes on demand or schedule these to get fresh, accurate data that syncs natively to Google Sheets or can be used in any automation sequence. Hexomatic works 24/7 in the cloud, enabling you to tackle projects of any size on autopilot. Each plan comes with a monthly renewing quota of page requests (one request is made per page scraped) and includes free IP rotation as standard for a frustration free experience.
Perform time consuming tasks and enrich your data in minutes using our ready made automations. Find contact details, specific document types, convert images, extract SEO data, detect tech stack, perform WHOIS queries and more.
Start with a scraping recipe, CSV or Google Sheet and combine automations to perform tasks on your data at scale.
Find leads using Google search or Google maps in a few clicks without having to create your own scraping recipe, then combine other automations to find contact details, detect tech stack or even estimate traffic for each prospect in minutes.
Get Amazon data, tap into world class machine translations from Google Translate or DeepL, no API’s or additional subscriptions required.
Start workflows from a list of keywords, URLS, a CSV file, or any website scraping recipe.
Then chain together additional scraping recipes and automations to perform tasks on your data.
Sales teams can find and enrich leads on autopilot, saving hours of manual work.
Marketing teams can tap into new markets, data sources and translate creatives at scale using machine translation.
SEO teams can run complex data extraction scraping at scale.
Data entry and research teams can build their own scraping bots and leverage ready made automations to capture and process data at scale.