Summarize each scraped page
When a scrape completes in ZenRows, send the page content to Wordware and store the summary it returns.
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How Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
ZenRows Explore ZenRows →
TriggersFires when a scrape, crawl or robot run finishes in ZenRows.
Fires when ZenRows returns a new batch of extracted data.
Fires when ZenRows detects a change on a monitored page.
Extracts the content of a web page with ZenRows.
Starts a crawl of a whole site in ZenRows.
Runs a saved scraper, task or robot in ZenRows.
Wordware Explore Wordware →
TriggersFires when Wordware generates a response to a prompt.
Fires when a request to Wordware errors or times out.
Fires when a fine-tuning job in Wordware finishes.
Sends a prompt to Wordware and returns the model's response.
Uses Wordware to summarize a block of text.
Uses Wordware to classify or extract structured data from text.
More ZenRows + Wordware workflows
Extract structured fields from results
When ZenRows returns a new result, ask Wordware to pull out the fields you need, such as product name and price.
See details
Classify website changes
When ZenRows detects a change on a monitored page, have Wordware judge whether the change is significant before anyone is alerted.
See details
See all ZenRows + Wordware integrations → · Browse the full workflow library →
Common questions
Can Knit build “Summarize each scraped page” between ZenRows and Wordware?
Yes — describe it in the box above and Knit's Integrations Agent researches ZenRows and Wordware's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
Why send scraped pages to an AI model?
Scraped HTML and text are noisy. Passing each ZenRows result to Wordware lets you pull out prices, names or key points in a consistent shape instead of cleaning the data by hand.
Can the model decide which pages to scrape next?
Yes. You can have Wordware produce a list of URLs or search terms, then run a scrape in ZenRows for each one.