The fastest Google Shopping API for price monitoring

Watch what every merchant charges for the products you sell, refreshed as often as the market moves, with responses in under one second and pricing from $1 per 1,000 requests that drops under $0.50 at volume.

No credit card required · No proxy setup · View Google Search API Docs

Switch to Shopping results with one parameter: tbm=shop
Run the same catalogue across countries on the same endpoint and price
Blocked attempts are retried at our cost and never billed

<1s

Typical response time

$1/1K

List price, under $0.50 at volume

Charge for failed requests

tbm=shop

One parameter switches vertical

Who monitors prices through the Shopping vertical

Google Shopping aggregates offers across merchants, which makes it the fastest read on what a market is actually charging today.

Retail pricing teams

Reprice against live competitor offers instead of a spreadsheet compiled last week.

Brands enforcing MAP

Spot resellers advertising below your minimum price, across every market you distribute in.

Marketplace sellers

See where your listing sits in the offer spread before deciding whether to move on price.

Price comparison sites

Source merchant offers through one billed API rather than maintaining scrapers per retailer.

DTC and category managers

Track promotional cycles across a category and time your own campaigns against them.

Why competitive pricing data goes stale

Price data has a short shelf life, and three things conspire to make it older than the decision it informs.

Failure 01

Prices move faster than weekly collection

Promotions start mid-morning and end overnight. A dataset refreshed on Mondays describes a market that has already repriced twice since it was collected.

Repricing against yesterday

Failure 02

Per-retailer scrapers multiply maintenance

Every merchant site has its own layout and its own defences, and each one breaks on a different schedule. The work grows with the number of competitors, not with the value of the data.

Coverage shrinks to what still works

Failure 03

Offers differ by country

The same product carries different merchants, currencies, and promotions in each market. One national pull hides the market where your margin is actually being undercut.

Undercut in markets you don't watch

How a Shopping request is made

Set tbm=shop on the scraper.google.search actor and the same endpoint returns Shopping results instead of web results — same authentication, same billing, same response envelope.

pagination

object

current, next, and other_pages for walking deeper into the offer list.

search_information

object

Query displayed, total results, and spelling-correction state.

metadata

object

Engine used and the stored raw page URL, useful as an audit trail for a disputed price.

request

Product name, model, or SKU-style query.

tbm

request

Set to shop for the Shopping vertical.

request

Market country code — offers and currency follow it.

request

Language code for the results page.

location

request

City-level origin, when local availability affects the offers shown.

start

request

Offset for paging past the first set of offers.

POST /api/v1/scraper/request

200 ok

# request
curl --location 'https://api.scrapeless.com/api/v1/scraper/request' \
--header 'x-api-token: <api-key>' \
--header 'Content-Type: application/json' \
--data '{
    "actor": "scraper.google.search",
    "input": {
        "q": "wireless anc headphones x2",
        "tbm": "shop",
        "gl": "us",
        "hl": "en"
    }
}'

# response (trimmed)
{ "search_information": {
    "query_displayed": "wireless anc headphones x2" },
  "pagination": {
    "current": 1,
    "next":    "…&start=20" },
  "metadata": {
    "engine": "google.search",
    "rawUrl": "https://www.google.com/…" } }

# Shopping block field names are confirmed
# during onboarding — ask before you build.

Full parameter and field reference

Shopping results come back through the same actor with tbm=shop. Field names for the shopping block are confirmed during onboarding — ask a solutions engineer for the current schema.

How a price monitoring run works

Queue your catalogue

One request per product per market. Pass the product name or model in q, set tbm=shop, and set gl to the market.

We absorb the blocks

IP sourcing, fingerprint rotation, and CAPTCHA handling run behind the endpoint, including during promotional peaks. Retries are on us.

Diff against your prices

Write offers per run and compare to your own list price. The alert worth having is a competitor crossing your floor, not a daily table nobody reads.

Built for pricing teams, brands, and comparison platforms

The fastest response in the category

Price data is only worth what its freshness allows. Sub-second responses are what let a large catalogue refresh several times a day rather than once, which is the difference between reacting and reporting.

under 1s

typical vendor window

request

unblock

parse

One parameter switches vertical

Shopping is not a separate product, a separate key, or a separate price. Change tbm and the same integration returns offers instead of web results.

Search Types

"tbm": "shop" shopping

"tbm": "nws" news

"tbm": "isch" images

same endpoint, same billing

Every market on the same call shape

Set the country and the offers, currency, and merchant mix follow. Running twelve markets is twelve requests, not twelve integrations.

Market Parameters

"gl": "de" "hl": "de"

"gl": "br" "hl": "pt"

195 countries covered

You pay for readings, not attempts

Shopping queries attract heavier defences than web search, so retries matter more here. Every blocked attempt is retried at our cost and never reaches your invoice.

Pricing

$1.00 / 1K requests

under $0.50 at volume

failed requests not billed

Plans built for catalogue-scale monitoring

Monitoring cost is SKUs multiplied by markets multiplied by refresh rate, so effective cost per successful reading decides how fresh your data can be. Start at $1 per 1,000 and move down the curve as the catalogue grows.

Basic

$0.00/1K

Pay as you go

No commitment. Consumption-based pricing at list rates.

Comparing Google Shopping API providers

Teams collecting competitive prices are usually choosing between per-retailer scrapers and one aggregated source.

Scrapeless Google Search API

Scrape retailers directly

Typical SERP API vendor

Typical response time

Under one second

Varies per site

Multiple seconds

Merchant coverage

Whatever Shopping aggregates

One scraper per retailer

Varies by plan

Maintenance when layouts change

Handled on our side

Rewrite that scraper

Vendor release cycle

Entry price per 1K

$1.00, under $0.50 at volume

Proxy and engineering cost

$1.00 and up

Cost of a blocked request

Never billed

Paid in bandwidth either way

Usually billed

Adding a market

Change one parameter

New scrapers per country

Often a plan upgrade

Start using the fastest, lowest-cost Google Shopping API today

Sub-second Shopping results from $1 per 1,000 requests, dropping under $0.50 at volume, with failed requests never billed. See the full endpoint reference, parameter list, and pricing.

View the product page

Drops into the stack you already run

Official SDKs and verified nodes, so a scheduled rank pull is a configuration task rather than a build.

Python SDK

Node.js SDK

Go SDK

n8n verified node

Make

Pipedream

Activepieces

Dify

MCP server

Webhooks

Need implementation details? View product details or open the Google Search API docs for the full parameter list, response schema, and SDK examples.

Choose the search workflow your team needs

Explore focused solutions for search visibility, AI retrieval, commerce intelligence, research and monitoring. Each use case connects Google Search API results to a clear business outcome.

SEO Rank Monitoring

Measure domain visibility, ranking pages and SERP feature presence across keyword groups, markets and devices.

Explore SEO monitoring

Local SEO & Rankings

Compare local rankings, business listings, Maps visibility and review signals across cities, regions and service areas.

Explore local SEO

AI SEO & GEO Visibility

Monitor brand mentions, citations and source visibility across AI-generated search experiences and target topics.

Explore AI SEO and GEO

Product & Market Research

Study demand signals, alternatives, category presence and competing offers through structured search results.

Explore product research

AI Models & RAG

Give LLMs, agents and RAG pipelines current, attributable search context for grounding and retrieval workflows.

Explore AI model workflows

Keyword Rank Tracking

Track exact keyword positions and movement over time by location, language, device and result type.

Explore rank tracking You are here

Shopping Price Monitoring

Compare public Google Shopping prices, merchants, ratings and product visibility for selected categories.

Explore price monitoring

News & Media Monitoring

Follow headlines, publishers, emerging stories and shifts in public narratives across relevant queries.

Explore news monitoring

Travel Data

Structure Google Flights and Hotels results for route, stay, destination and travel-market research.

Explore travel data

Recruitment Data

Collect Google Jobs results to monitor roles, employers, locations and labor-market demand.

Explore recruitment data

Ad Verification

Verify PPC and Ads visibility, placement and competitive messaging across target queries and markets.

Explore ad verification

Academic Research

Organize Google Scholar results, authors and cited sources for academic and evidence-based research.

Explore academic research

Trend Analysis

Use Google Trends signals to compare changing interest across topics, time periods and markets.

Explore trend analysis

Image Search

Use Google Lens and Images results to discover visual matches, sources and related content.

Explore image search

Brand Monitoring

Track where a brand appears across organic results, news, shopping and other SERP surfaces.

Explore brand monitoring

Need Google Search API specifications and pricing?

Review supported Google API categories, structured response examples, integration steps and pricing on the Product page.

Questions teams ask before they buy

Which is the cheapest Google Shopping API?

Compare effective cost per successful request rather than list price. Scrapeless lists at $1 per 1,000 and drops under $0.50 at volume, and blocked attempts are never billed — which matters more on Shopping queries, where defences are heavier and retries more common.

Which Google Shopping API is fastest?

Scrapeless returns most requests in under one second. For price data that translates directly into freshness: the faster a catalogue refreshes, the closer your repricing is to the market.

How do I get Shopping results instead of web results?

Set tbm to shop on the same scraper.google.search actor. No separate endpoint, no separate key, and the same per-request billing applies.

Can I monitor prices in several countries?

Yes. Set gl and hl per market and the offers, currency, and merchant mix follow. Coverage spans 195 countries and regions.

What exactly comes back in the Shopping response?

The response envelope — pagination, search_information, and metadata — is the same as web search. Field names inside the Shopping block are confirmed with your solutions engineer during onboarding, so your parser matches the current schema.

Can I audit a price we acted on?

Yes. metadata.rawUrl stores the source page for each request, which is the quickest way to settle a dispute about what a competitor was advertising at the time.

Do I still need my own proxies?

No. IP sourcing, rotation, fingerprinting, and CAPTCHA handling sit behind the endpoint, including during promotional traffic peaks.

Monitoring a large catalogue? Get a custom rate.

A solutions engineer will scope your SKU count, markets, and refresh frequency, then send back custom pricing and confirm the Shopping response schema — usually within one business day.

Explore the API

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