keyword source · google shopping

Google Shopping API

Google Shopping search volume for any product or category as a normalized time series, with growth over 3M/6M/12M/5Y. The highest purchase-intent signal in the Google family, served as JSON.

GitHub repo

POST get_growth · google shopping

# one POST, every source
POST https://api.trendsapi.ai/api
Authorization: Bearer YOUR_API_KEY

{ "mode": "get_growth",
  "source": "google shopping",
  "keyword": "walking pad",
  "window": ["3M", "12M"] }

200 OKnormalized 0-100

response

  {
    "search_term": "walking pad",
    "data_source": "google shopping",
    "results": [
      {
        "period": "3M",
        "growth": 33.8,
        "direction": "increase"
      },
      {
        "period": "12M",
        "growth": 175.2,
        "direction": "increase"
      }
    ]
  }

application/jsontimestamped

Why it exists

Google Shopping trend data, without the plumbing

Shopping queries are the closest thing to declared purchase intent you can measure. Someone typing a product into Google Shopping is much closer to buying than someone running a web search, so this source is the demand signal ecommerce and retail teams care about most.

There is no official Google Shopping volume API, so getting this data means scraping. Trends API normalizes it to the same 0-100 scale as Amazon product search and web search, so you can compare purchase intent across channels in one schema.

Use cases

What people build with it

Ecommerce

Validate purchase intent for a product before sourcing inventory.

Retail

Track category demand with the highest-intent Google signal.

DTC brands

Watch shopping demand for your category grow or shrink.

Agencies

Back assortment and ad recommendations with intent curves.

Comparison

How it compares

	Scraping Google Shopping	Trends API
Volume history	not exposed	weekly + daily series
Blocks / 429s	constant	never
Purchase-intent signal	DIY	normalized 0-100
Compare vs Amazon demand	separate pipeline	same schema
Free tier	n/a	100 requests/month

Three modes, one endpoint

get_time_series

Historical trend series for a keyword on this source, normalized 0-100.

get_growth

Growth percentages over 3M / 6M / 12M / 5Y windows.

get_top_trends

24 live trending feeds across platforms, no keyword needed.

FAQ

Common questions

What Google Shopping data does Trends API provide?

Product and category search volume as a normalized 0-100 time series, plus growth percentages over 3M/6M/12M/5Y windows.

Why is shopping search a stronger signal than web search?

Shopping queries carry purchase intent. Someone searching a product on Google Shopping is far closer to buying than someone running a general web search.

Is there an official Google Shopping volume API?

No. Google does not expose shopping search volume through any official API. Trends API normalizes it into the same JSON schema as the other sources.

Can I compare shopping demand with Amazon demand?

Yes. Query google shopping and amazon for the same product and compare normalized scores directly.

How far back does history go?

Up to 5 years of weekly data on paid plans; 12 months on the free tier.

Keep exploring

Related trend sources

AmazonAmazon trend data as JSON Google TrendsQuery Google Trends data as JSON Google ImagesGoogle Images search volume as JSON

Start pulling Google Shopping trends in 60 seconds.

100 requests a month free. No credit card, no sales call. One key works for every source.