Scrape Amazon product titles and URLs across multiple search pages (1-10) using this powerful n8n workflow. Integrates Olostep for reliable, structured data extraction.
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Market Researchers needing bulk Amazon product lists.
Data Analysts requiring structured web scraping data.
Businesses building competitive analysis tools.
Users looking for high-quality, reliable n8n templates for web extraction.
This robust automation addresses the challenge of reliably extracting data from complex e-commerce sites like Amazon, which often block or confuse standard scrapers. By leveraging the specialized Olostep API within this n8n workflow, users can initiate a search simply by providing a query. The n8n workflow handles pagination (up to 10 pages), executes the scrape, uses LLM extraction to guarantee structured JSON output, corrects relative URLs, validates the data, and stores the final product title and URL into an n8n data table or Google Sheet replacement. This powerful n8n automation eliminates manual copying and pasting and provides a scalable, API-driven solution.
The process starts with an “On form submission” n8n trigger, where the user enters the Amazon search term.
title and url for all products found on that search page./product/details), the flow uses a Set n8n node to prepend the full https://www.amazon.com domain.title and url. The current configuration targets a specific Data Table ID. On form submission (n8n trigger): The entry point for this n8n workflow. It collects the necessary input (search query) from a user-friendly form interface.
Edit Fields (Set n8n node): Sets up the pagination by initializing the counter variable with an array of page numbers (1 to 10).
scrape amazon products (HTTP Request n8n node): Executes the core scraping logic. It sends a POST request to the Olostep API, dynamically passing the search term and current page number. Key Configuration: Uses llm_extract with a schema defined for product title and url extraction.
parsedInfo (Set n8n node): Parses the raw JSON response from Olostep, using a string replace function to clean up escape characters (\/) received in the output, making the data consumable by subsequent n8n nodes.
Split Out (n8n node): Takes the resulting array of product objects and breaks them down into individual items, allowing each product to be processed and stored separately.
If (n8n node): A core logic flow control n8n node that checks if the extracted product url does not start with https://www.amazon.com. This directs relative URLs to the correction step.
Edit Fields1 (Set n8n node): Used when a relative URL is detected. It prepends the https://www.amazon.com domain to complete the product URL.
Insert row (Data Table n8n node): The final action n8n node, responsible for saving the cleaned title and url data into the configured Data Table.
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AI Automation Architect building smart workflows with n8n. I help businesses save time by automating processes, connecting apps, and integrating AI. My focus is on creating efficient, reliable systems that streamline operations and reduce manual work.







































