ECOMMERCE AI SEO TOOLS API MCP READY

Google Immersive Product API

Get Google's rich immersive product pages for any product search as structured JSON: title, brand, price range, aggregated rating and review breakdown, specs, variants, stores, videos, and user reviews. For e-commerce competitive intelligence and product research agents. Pay per product, MCP-ready.

MEDIAN LAGon demand

PARAMETERS5

TOTAL USERS11

MONTHLY ACTIVE9

TOTAL RUNS115

RUNS SUCCEEDED100.0%

RATING5.0 (1)

Input parameters

PARAMETER	TYPE	REQ	DEFAULT	DESCRIPTION
query	string	no	—	Enter a single product search, for example 'running shoes' or 'wireless earbuds'. Provide this, `queries`, or both.
queries	string[]	no	—	Provide a list of product searches to run in one batch.
gl	string	no	us	Set the two-letter country code for pricing and localization (e.g. 'us', 'gb', 'de').
hl	string	no	en	Set the two-letter interface language code (e.g. 'en', 'es', 'de').
maxResultsPerQuery	integer	no	10	How many products to return the rich immersive page for, per query. — drives your bill

Worked examples

Basic — the required input, with the schema's own example values

{
  "query": "running shoes",
  "queries": [
    "example"
  ]
}

Tasks

Saved runs with the inputs already filled in — each one a standalone page and a working configuration example.

Request a task →

Code

curl

curl -X POST "https://api.apify.com/v2/acts/johnvc~google-immersive-product-api/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"query": "running shoes", "queries": ["example"]}'

Python

from apify_client import ApifyClient

client = ApifyClient("APIFY_TOKEN")
run = client.actor("johnvc/google-immersive-product-api").call(
    run_input={'query': 'running shoes', 'queries': ['example']}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)