google-immersive-product-api

Get rich Google immersive product data with brand, price range, ratings, variants, and stores. Apify-backed n8n community node, pay-per-result, and usable as an AI agent tool.

Package Information

Released: 4 mo ago
Downloads: 12 weekly / 312 monthly
Latest Version: 0.1.1
Author: John Cole

Available Nodes

Google Immersive Product icon
Google Immersive Product
Get rich Google immersive product data with brand, price range, ratings, variants, and stores

Documentation

n8n-nodes-google-immersive-product-api

An n8n community node that returns rich Google immersive product data for a search query: brand, price range, ratings, variants, and the stores that carry it. It is backed by the Google Immersive Product API on Apify and bills per result, so there are no subscriptions and no minimums.

Installation · Credentials · Operations · Output · Example workflows · Pricing · Resources

What it does

Give the node a product query, and it returns one item per product with its title, brand, price range, rating, review count, source, and a link to the product. It also works as an AI Agent tool, so an agent can look up product details on demand. This is great for product research, price comparison, and catalog enrichment.

  • Get Google immersive product results for any query
  • Localize with a country code and language code
  • Choose how much data to return per product: Simplified, Raw, or Selected Fields

Installation

Follow the n8n community nodes installation guide:

  1. In n8n, open Settings > Community Nodes.
  2. Select Install.
  3. Enter n8n-nodes-google-immersive-product-api as the npm package name.
  4. Agree to the risks of using community nodes, then select Install.

After it installs, the Google Immersive Product node appears in the nodes panel.

n8n Cloud only allows verified community nodes. Until this node is verified, install it on a self-hosted n8n instance.

Credentials

You need a free Apify account and an API token.

  1. Sign in to the Apify Console.
  2. Open Settings > Integrations and copy your Personal API token.
  3. In n8n, create a new Apify API credential and paste the token.
  4. Use the credential's Test button to confirm it works.

The node also supports Apify OAuth2 if you prefer to connect that way.

Operations

Product > Search returns immersive product results for a query.

Parameter Description
Search Query The product query to search for, for example laptops. Required.
Country Code / Language Code Localization, for example us and en.
Maximum Results per Query How many products to return.
Output How much data to return: Simplified, Raw, or Selected Fields.

Output

Each product is returned as its own n8n item. The Output parameter lets you choose how much to return:

  • Simplified (default): a compact object with title, brand, priceRange, rating, reviews, source, and productLink. This mode is also used automatically when the node runs as an AI Agent tool, to keep responses small.
  • Raw: every field the API returns for each product, using the original field names below.
  • Selected Fields: pick exactly which fields to include.

Fields (Raw and Selected Fields)

Field Type Description
query string The query that produced this product
position integer Rank of the product in the results
title string Product name
brand string Brand or manufacturer
price_range string Price range shown for the product
rating number Average star rating
reviews integer Number of reviews
ratings array Rating breakdown by star
source string Source or seller name
product_link string Link to the product
about_the_product array Highlight bullet points
thumbnails array Product image URLs
variants array Product variants, for example colors or sizes
stores array Stores that carry the product
user_reviews array Individual user reviews
reviews_images array Images attached to reviews

Example workflows

1. Build a product comparison sheet

  1. Read a list of product queries.
  2. Google Immersive Product: search each query.
  3. Google Sheets: append title, brand, priceRange, and rating to a comparison sheet.

2. Track price ranges over time

  1. Schedule Trigger (daily).
  2. Google Immersive Product: search your tracked product.
  3. Postgres: store priceRange and the run date to chart trends.

3. Let an AI Agent answer product questions

  1. AI Agent node.
  2. Attach Google Immersive Product as a tool.
  3. Ask "What is a good rated laptop under 1000 and who sells it?" The agent calls the node (in Simplified mode) and returns matching products.

Pricing

This node calls the Google Immersive Product API on Apify, which is billed pay-per-result, with no subscription and no minimums. Apify also includes a free monthly usage tier that covers typical volumes. See the Actor page for current rates.

Resources

License

MIT

Discussion