The internet is full of information. An estimate of 177,372 new websites is created daily as of mid-2025 (source)
For businesses and researchers, this flood of content is both a goldmine and a headache simultaneously. You need the insights, not the noise. And that’s where summarizing webpages comes in.
Scrapingdog’s AI Scraping API offers a way to summarize webpages at scale. Let’s understand how this works, and further in the read, I will show how, as a marketer, you can build a simple workflow to automate this process.
Let’s get started!
Testing Summary of Webpages on Scrapingdog’s Dashboard
So the first thing you need to do is sign up to Scrapingdog. You get 1000 free credits to spin the API.
After the onboarding email, you will land on the dashboard, which will look something like this ⬇️
From here, you need to go to ➡️ General Scraper ⬇️
Here we will test if the tool is able to summarize a webpage or not.
A couple of things to note before we jump into our test: –
- The output data will be in JSON format.
- There is an inbuilt AI feature to which you need to prompt. (You don’t need an extra LLM model)
- How this tool works — It takes the HTML out of that page, and with the help of AI, it summarizes it.
Let’s test this tool now: —
I will ask it to summarize this blog page — https://www.searchenginejournal.com/google-says-gsc-sitemap-uploads-dont-guarantee-immediate-crawls/554747/
The prompt I will give to this API is — “Give the summary of the webpage in JSON, summarize the page in 5 points.”
This is how you can test the API.
Building an n8n Workflow to summarize web pages at scale
Let’s take a scenario wherein we have 1000s of URLs and we want to summarize each of them.
Doing it one by one is simply a waste of time when you can build an automation. Sure, you can feed in ChatGPT or any other AI model all the URLs at once, but again, chances are that these models will hallucinate or won’t take such long inputs.
Let’s build a simple workflow using n8n, Google Sheets, and of course, the Scrapingdog’s API.
We are maintaining all the URLs and summaries in our Google Sheets, which acts as a database. You can take Airtable or Notion to maintain a database.
Below is the screenshot of my database:-
In column A, I am listing all the URLs for which I want summaries & the workflow I make should give me summaries in the respective cell in column B.
We won’t be going through every bit and piece of the workflow we made. This is just to demonstrate how the API works, and if you want the exact blueprint for it, here it is.
And below is a video that shows how this whole automation gets you the summaries of the webpages from our spreadsheet. ⬇️
Conclusion
This is just one automation that we built using Scrapingdog AI web Scraper. In reality, there can be more use cases that can be built using this API.
The main advantage of using this API is that you don’t need to separately pay for an AI model.
We offer 1000 free credits to test the API. You can sign up from here and test the API for yourself. In any case, if you need any help in integrating APIs into your already workflow, we are there to help you out.
Additional Resources
We will keep building more articles in the near future using our AI web scraper. Meanwhile, you can refer to the old articles that we built with our other APIs. Some of them I am listing below: –
