Protect your catalogue. Keep useful discovery open.

Your products and content need to be discoverable. Unwanted extraction should not get to define how your service is used. Blokk Bot’s approach to scraper protection connects automation evidence with the access you permit and a response your integration can apply.

Have a custom website or application? Explore the API integration.

Define the scraping you want to restrict.

Scraping collects content or data from an application for use elsewhere. That might involve product prices, catalogue details, published articles or generated results. OWASP’s scraping threat description covers extraction through both web pages and APIs, including access with or without an account.

Your policy decides which uses are welcome. A search crawler helps customers find a product; an approved partner may need a regular feed; a shopping agent may compare a small set of products for its customer. Repeated extraction outside those permissions needs its own response. An automation indication alone cannot make that business decision.

Set crawler instructions and enforce access separately.

Use robots.txt to communicate crawling preferences to clients that honour it. The Robots Exclusion Protocol does not provide access control. A rule in that file does not prevent a client from requesting a public page. Sensitive content needs appropriate authentication and authorisation at the point it is served.

A crawler name in a user-agent string also needs care. Google warns that its crawler’s user-agent is sometimes impersonated and documents ways to verify Googlebot. Use the relevant provider’s verification method where your infrastructure exposes the required evidence. Blokk Bot’s browser automation assessment does not authenticate a search provider.

Connect the rule to a point that can act.

1. Map what is exposed. Identify the pages, catalogue routes or application operations that return the data. Include the legitimate customers, crawlers and integrations that use them.
2. Choose an enforceable policy. Define the unwanted action, the evidence needed and the intended restriction. Keep existing access checks and quotas in place.
3. Observe before activation. Review the available assessments and their reasons. Missing browser observations remain missing evidence; they do not by themselves establish scraping.
4. Test extraction and permitted use. Check whether the relevant data was actually withheld, whether allowed discovery still works and whether an incorrect restriction can be reversed.

Choose the right starting point for your platform.

On Shopify, start with free monitoring to understand the activity your integration observes. Review the supported policy preview and confirm the available control before enabling paid protection. Browser observations do not give an app control over every storefront response. Shopify’s web pixels run in a sandbox and respect customer consent signals; they are an observation mechanism. A checkout hold does not retract a product page already delivered to a visitor. Read the Shopify coverage breakdown and compare plans.

For a backend you control, use the bot detection API within the protected action. Your application decides whether to return the result, apply an existing restriction or allow an authorised client. The integration documentation explains assessment binding, retries and outcome reporting.

Keep the discovery you value.

Tell us what is being collected, where it is served and which automated uses you want to allow. Start with one protection rule you can test and review. For the wider policy, read bot traffic versus bot abuse and how Blokk Bot works.