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Overview

  • Overview

SERP

  • POSTSERP

Core

  • POSTGeocode
  • POSTTranslate
  • POSTSearch
  • POSTVision
  • POSTPlaces Search
  • POSTPlace Details
  • POSTPlaces Nearby
  • POSTAutocomplete

Maps

  • POSTSearch
  • POSTPlace Details
  • POSTReviews

Hotels

  • POSTSearch
  • POSTDetail
  • POSTReviews
  • POSTPhotos

Flights

  • POSTOne-way Search
  • POSTCalendar
  • POSTExplore

Finance

  • POSTQuote
  • POSTFundamentals
  • POSTChart
  • POSTNews
  • POSTSearch
  • POSTEstimates
  • POSTEarnings

Vision

0.5 credits

Analyze images using Google Cloud Vision. Supports labels, OCR, logos, landmarks, objects, and more.

POST/api/v1/tools/google/vision

Parameters

imageUrlstringrequired

URL of the image to analyze. Must be publicly accessible. Use direct image URLs, not pages containing images.

featuresstring[]required

At least one required. Options: labels, ocr, logos, landmarks, objects, faces, web, safe_search, image_properties, crop_hints. Only requested features appear in the response.

fieldsstring[]

Fields to include in the analysis result. Omit to return all requested features. Available fields: labels, text, objects, faces, safeSearch, logos, landmarks, imageProperties, cropHints, web, productSearch. Use ["*"] for all detected fields, including unrequested fields when present.

Response Schema

dataobject

Vision analysis results (fields depend on requested features)

labelsobject[]

Detected labels

textobject

OCR result

logosobject[]

Detected logos

landmarksobject[]

Detected landmarks

objectsobject[]

Detected objects with bounding boxes

safeSearchobject

Safe search annotations

webobject

Web detection (similar images, entities)

metaobject

Request metadata

toolstring

Tool name (vision)

creditsUsednumber

Credits consumed (0.5)

requestIdstring

Unique request ID

Request

curl -X POST https://scraper.run/api/v1/tools/google/vision \
  -H "Authorization: Bearer sc_live_..." \
  -H "Content-Type: application/json" \
  -d '{"imageUrl": "https://example.com/photo.jpg", "features": ["labels", "ocr"]}'

Response Example

{
  "data": {
    "labels": [
      {
        "name": "Coffee",
        "score": 0.97
      },
      {
        "name": "Cup",
        "score": 0.95
      },
      {
        "name": "Drink",
        "score": 0.92
      }
    ],
    "text": {
      "full": "Starbucks Reserve",
      "annotations": [
        "..."
      ]
    }
  },
  "meta": {
    "tool": "google-vision",
    "creditsUsed": 0.5,
    "requestId": "req_abc123"
  }
}