Google Shopping Now

An Apify Actor that fetches Google Shopping search results and saves each product as an individual record in an Apify Dataset.

What does this Actor do?

This Actor:

1. Accepts a search query and optional filters (price range, sorting, shipping, sale, localization)
2. Extracts only the shopping results without ads. It pushes each product as a flat record to the Apify Dataset

Perfect for price monitoring, competitor analysis, product research, e-commerce intelligence, and market comparisons.

Why use Google Shopping Now?

• Flat product records — Each product is stored as an individual Dataset row, ready for export
• Flexible filtering — Filter by price range, free shipping, on sale, and sorting
• Localization support — Choose language, country, and Google domain
• Clean output — No root wrappers, no search_parameters, no ads, no filters — just products
• Production-ready — Robust error handling with descriptive failure messages and rate limit detection
• Sponsored products are ignored. — We don' return sponsored products

Input Schema

Field	Type	Required	Default	Description
query	string	Yes	—	Search query (e.g. "laptop", "wireless headphones")
min_price	integer	No	—	Minimum price filter
max_price	integer	No	—	Maximum price filter
sort_by	integer	No	—	Sort order: 0 = relevance, 1 = price low→high, 2 = price high→low
free_shipping	boolean	No	false	Show only products with free shipping
on_sale	boolean	No	false	Show only products currently on sale
max_results	integer	No	—	Maximum number of products to return (empty = all)
hl	string	No	"en"	Host language code (e.g. en, it, de, fr)
gl	string	No	"us"	Country perspective (ISO 3166-1 alpha-2, e.g. us, gb, de)
google_domain	string	No	"google.com"	Google domain to query (e.g. google.it, google.de)

Example Scenarios

Description	JSON Input
Search laptops in the US	{"query": "laptop"}
Cheap headphones, price low to high	{"query": "headphones", "max_price": 50, "sort_by": 1}
On-sale sneakers with free shipping	{"query": "sneakers", "free_shipping": true, "on_sale": true}
Search in Italy, Italian language	{"query": "smartphone", "hl": "it", "gl": "it", "google_domain": "google.it"}
Premium monitors, $500–$1500	{"query": "monitor 4k", "min_price": 500, "max_price": 1500}

Example Input

{
    "query": "laptop",
    "min_price": 300,
    "max_price": 1000,
    "sort_by": 1,
    "free_shipping": true,
    "hl": "en",
    "gl": "us",
    "google_domain": "google.com"
}

Output

Each product from the shopping_results array is pushed as an individual flat record to the Apify Dataset. No root objects, no search_parameters, no ads, no filters.

[
  {
    "position": 1,
    "title": "Lenovo IdeaPad 3 15.6\" Laptop",
    "price": "$349.99",
    "extracted_price": 349.99,
    "old_price": "$449.99",
    "extracted_old_price": 449.99,
    "source": "Best Buy",
    "rating": 4.5,
    "reviews": 1234,
    "delivery": "Free delivery by Fri, Sep 5",
    "badge": "Sale",
    "thumbnail": "https://encrypted-tbn0.gstatic.com/shopping?q=...",
    "link": "https://www.bestbuy.com/site/lenovo-ideapad-3/...",
    "product_id": "abc123xyz"
  },
  {
    "position": 2,
    "title": "HP Pavilion 15.6\" Touch-Screen Laptop",
    "price": "$499.00",
    "extracted_price": 499.0,
    "source": "Amazon.com",
    "rating": 4.3,
    "reviews": 876,
    "delivery": "Free shipping",
    "thumbnail": "https://encrypted-tbn0.gstatic.com/shopping?q=...",
    "link": "https://www.amazon.com/HP-Pavilion/dp/...",
    "product_id": "def456uvw"
  }
]

Note: The exact fields returned depend on what Google Shopping provides for each product. Fields like old_price, extracted_old_price, badge, and delivery may not be present for every item.

Dataset Views

The Actor provides two pre-configured views in the Apify Dataset:

View	Description	Key Fields
Shopping Results	Compact overview	title, price, source, rating, reviews, link, thumbnail
Full Product Details	All available fields	All of the above + old_price, delivery, badge, product_id, position

Error Handling

The Actor fails gracefully with descriptive messages for:

Scenario	Behavior
Missing API token	Actor.fail() with instructions to set SCRAPE_DO_TOKEN
Missing query	Actor.fail() with instructions to provide a search query
HTTP 429 (rate limit)	Actor.fail() with rate limit exceeded message
HTTP 4xx/5xx errors	Actor.fail() with status code and response preview
Network timeout	Actor.fail() with timeout duration
Invalid JSON response	Actor.fail() with parse error details
Empty results	Warning log with available response keys for debugging