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Core.Today
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SerperFastHigh

Serper Google Shopping

Google Shopping results through Serper - product title, price, seller, rating and image. 5 credits per search.

5 credits
per search (2 Serper credits)
Prices and sellers across stores
Ratings and review counts
Country targeting for local prices

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Use with AI Assistant

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Quick Start

curl -X POST "https://api.core.today/v1/predictions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: cdt_your_api_key" \
  -d '{
  "model": "serper/shopping",
  "input": {
    "q": "wireless earbuds",
    "gl": "kr",
    "hl": "ko",
    "num": 20
  }
}'

Parameters

ParameterTypeRequiredDefaultDescription
qstringYes-The search query.
glstringNo-Country of the results as a lowercase ISO 3166-1 code (e.g. kr, us). Serper default us.
hlstringNo-Language of the results (e.g. ko, en). Serper default en.
locationstringNo-Search as if from this place, e.g. Seoul, South Korea.
numintegerNo10Number of products (1-40).
pageintegerNo1Results page (1 = first).

Common Parameters

Common parameters used when calling POST /v1/predictions.

ParameterTypeRequiredDefaultDescription
modelstringYes-Model identifier
inputobjectYes-Object containing the model-specific parameters from the table above
output_folderstringNo-Folder path for output files (max 256 chars, '..' not allowed)
webhook_urlstringNo-Webhook URL to call on completion
is_publicbooleanNofalseIf true, output files are also available via permanent public URLs

Examples

Basic request

A typical request with the most common options.

curl -X POST "https://api.core.today/v1/predictions" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: cdt_your_api_key" \
  -d '{
  "model": "serper/shopping",
  "input": {
    "q": "wireless earbuds",
    "gl": "kr",
    "hl": "ko",
    "num": 20
  }
}'

Tips & Best Practices

1The result is the provider's JSON as-is (shopping)
2Links in the result point to the original pages - nothing is copied to your storage
3Billed on the credits Serper reports in the response (`credits`) - the reservation is refunded down to it

Use Cases

Price comparison and tracking
Shopping assistants
Market research