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n8n Workflow: Fetch Amazon Product + Reviews via Pangolinfo API

n8n Workflow: Fetch Amazon Product + Reviews via Pangolinfo API

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n8n Workflow: Fetch Amazon Product + Reviews via Pangolinfo API

n8n Workflow: Fetch Amazon Product + Reviews via Pangolinfo API

Regular price £15.99
Regular price £15.99 Sale price
SAVE Sold out

Instantly pull Amazon product details + recent customer reviews (by ASIN) using Pangolinfo—merged into one n8n output

This n8n workflow lets you fetch current Amazon product information and recent buyer reviews for a specific ASIN via the Pangolinfo Amazon Scraper API. Run it manually with Test workflow, then get a single structured result you can analyze or store in your downstream systems.

What this workflow does

  • Starts manually: Click Test workflow in n8n to run it.
  • Sets research inputs: Configures the target ASIN, Amazon marketplace/site, ZIP code, number of review pages to retrieve, star filter, and sort order.
  • Fetches product details: Requests current Amazon product information from Pangolinfo’s Amazon Scraper API.
  • Fetches recent reviews: Pulls recent buyer reviews for the same ASIN using your configured review filters (e.g., page count, stars, sorting).
  • Merges results: Uses a merge step to combine product and review responses into one unified structured output for downstream use.

Use cases

  • Build a repeatable Amazon price/reputation snapshot for a product, including recent customer sentiment.
  • Feed review and product data into Sheets, a database, alerts, or an AI analysis step.
  • Validate automation pipelines during development by running the workflow via manual test and confirming merged output structure.

Technical details

  • Designed for self-hosted n8n only
  • Requires: n8n-nodes-pangolinfo (community node) + a Pangolinfo API key
  • Nodes/steps used include: Manual Trigger, Set, Merge, and a configured Pangolinfo integration step for both product and reviews
  • Customization: Replace the manual trigger with a schedule, change the ASIN and review filters in the Configure Research step, then connect the merged output to your next destination.
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