Reference & Lookup Data · Integration
WebScraping.AI
Add WebScraping.AI to your product for your customers, and give your AI agents governed access to it.
WebScraping.AI takes its key as an api_key query parameter on api.webscraping.ai rather than in a header, so requests need building carefully to keep the credential out of logs and analytics. The endpoints split by what you want back: HTML for the rendered page, text for readable content, a selector endpoint for a specific CSS match, and question and fields endpoints that have a model pull named values out of the page. Rendering JavaScript, choosing a residential proxy or pinning a country are all query parameters, and each raises the credit cost, so the same URL can be cheap or expensive depending on the flags you pass. Pages that fail upstream come back as an error carrying the origin status rather than as an empty body, which matters when crawling at volume and deciding what to retry. fastn holds each customer's WebScraping.AI key in its own tenant and keeps parameter and credit handling in one place.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let a customer connect their own WebScraping.AI key so scraping is billed and rate limited against their account
Turn a pasted URL into readable text your product can index without shipping a headless browser
Extract named fields such as price or availability from a competitor page on a schedule
Retry only genuine upstream failures by reading the origin status returned with the error
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
Let an agent fetch a page and extract only the fields a workflow declared, with the URL, flags and credit cost recorded per tenant
Have an agent decide whether JavaScript rendering is actually needed before spending the extra credits
Let an agent answer a question about a page and cite the text it was drawn from
Example prompt
Pull the current pricing tiers from this vendor's page and tell me what changed since last month.
Set up WebScraping.AI in 4 steps
- 01Enable the WebScraping.AI connector from your fastn dashboard.
- 02Have each customer authorise their own WebScraping.AI account, so calls run under their credentials rather than a shared key.
- 03Decide which lookups, results and reports your product needs, map those fields, then enable the actions and triggers you want.
- 04Call it from your product and expose it to your agents through the same governed connection.
Why teams use the WebScraping.AI integration
What you get by embedding it with fastn instead of building it yourself.
- Ship a WebScraping.AI integration without building it. Your customers connect their own WebScraping.AI account inside your product and work their lookups, results and reports there, with no per-customer code on your side.
- Handle the part that actually costs time: these are metered read sources, so an uncached lookup on every page view burns the customer's allowance. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so a WebScraping.AI update is not your on-call problem.
- One integration serves your product and your agents. The same governed WebScraping.AI connection powers in-product features and gives AI agents scoped, audited access, so you answer questions from an authoritative outside source without holding that data yourself without wiring it twice.
Used by these teams
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SnowflakeWebScraping.AI integration FAQ
How do I add a WebScraping.AI integration to my product?
Enable the WebScraping.AI connector in your fastn dashboard, then let each customer authenticate their own WebScraping.AI account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no WebScraping.AI client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own WebScraping.AI account?
Yes. Every connection is scoped to the individual customer, so each authorises their own WebScraping.AI account and only ever sees their own lookups, results and reports. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.
Can AI agents use this WebScraping.AI integration?
Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. Let an agent fetch a page and extract only the fields a workflow declared, with the URL, flags and credit cost recorded per tenant
Who maintains the WebScraping.AI integration?
fastn does. When WebScraping.AI changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.
Whose credentials does a WebScraping.AI lookup run under?
Each customer's own. Quota and cost land on the customer that caused them rather than on a shared key you have to meter and re-bill, and one heavy customer cannot exhaust another's allowance.
How should WebScraping.AI results be cached?
Per tenant, with a window that matches how fast the underlying data actually moves. WebScraping.AI is a read source rather than a system of record, so the same query returns the same answer until the source changes, and caching is the difference between a sustainable integration and one that exhausts a customer's allowance on a busy page.
What can I build with the WebScraping.AI integration?
A common starting point: let a customer connect their own WebScraping.AI key so scraping is billed and rate limited against their account. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.
How much does the WebScraping.AI integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding WebScraping.AI does not change your per-connector cost. You can start free with 3 connected accounts.
Add WebScraping.AI to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.