# Search with shoprs

This documentation provides an example of how to send a GET request to the SERP API and interpret the response.

### API Request[​](https://serp-api.netnut.io/docs/SERP/API%20Examples/Query#api-request) <a href="#api-request" id="api-request"></a>

To send a GET request to the SERP API for a news-related query, you can use the following:

* Bash
* Javascript
* Python
* Go

```
curl -L 'https://serp-api.netnut.io/search?q=iphone&hl=en&gl=US&udm=28&shoprs=CAESDRILEQAAAACE18dBGAEYCioGaXBob25lMh8IFxITUmF0aW5nOiBoaWdoIHRvIGxvdyoEEAEYAVADMiUIBRIMVW5kZXIg4oKqODAwGAIiDRILEQAAAACE18dBGAEqAhgBMggIChIEVXNlZFiJqiBgAogBAw' \
-H 'Accept: application/json' \
-H 'Authorization: Basic base64(username:password)'
```

### API Response[​](https://serp-api.netnut.io/docs/SERP/API%20Examples/Query#api-response) <a href="#api-response" id="api-response"></a>

The API will respond with a JSON object containing the search results. Here is an example of the response:

```
{
  "url": "https://www.google.com/search?q=iphone&hl=en&gl=US&start=0&udm=28&shoprs=CAESDRILEQAAAACE18dBGAEYCioGaXBob25lMh8IFxITUmF0aW5nOiBoaWdoIHRvIGxvdyoEEAEYAVADMiUIBRIMVW5kZXIg4oKqODAwGAIiDRILEQAAAACE18dBGAEqAhgBMggIChIEVXNlZFiJqiBgAogBAw",
  "general": {
    "searchEngine": "google_shopping",
    "language": "en",
    "device": "desktop",
    "searchType": "text",
    "pageTitle": "iphone - Google Shopping",
    "timestamp": "2026-01-04T15:43:07.321Z",
    "render": false
  },
  "input": {
    "originalUrl": "https://www.google.com/search?q=iphone&hl=en&gl=US&start=0&udm=28&shoprs=CAESDRILEQAAAACE18dBGAEYCioGaXBob25lMh8IFxITUmF0aW5nOiBoaWdoIHRvIGxvdyoEEAEYAVADMiUIBRIMVW5kZXIg4oKqODAwGAIiDRILEQAAAACE18dBGAEqAhgBMggIChIEVXNlZFiJqiBgAogBAw",
    "jobId": "c95568cc-8911-4fac-8030-934a358cc0f2"
  },
  "shoppingResults": [
    {
        "title": "Apple iPhone 17",
        "price": "$41.62 per month for 24 months. ",
        "rawPrice": 41.62,
        "previousPrice": "",
        "rawPreviousPrice": null,
        "source": "Apple",
        "moreSources": true,
        "rating": 4.74,
        "reviews": 5,
        "tag": "",
        "extensions": [],
        "snippet": "Quality camera (204 user reviews)",
        "delivery": "Free next-day delivery",
        "itemCondition": "",
        "link": "https://www.google.com/search?ibp=oshop&q=Apple%20iPhone%2017&prds=catalogid:15124621302495257126,gpcid:6027158597472037202,imageDocid:7125628098102614888,headlineOfferDocid:8223032854974810649,mid:576462866558881327,pvt:hg,rds:PC_6027158597472037202%7CPROD_PC_6027158597472037202&hl=en&gl=US&udm=28",
        "thumbnail": "https://encrypted-tbn0.gstatic.com/shopping?q=tbn:ANd9GcTPy3iSOz0_jrTmu3-9YwJXZkb2yxvngWsc1ryDoufVGZDxkBQu4P4Y1LI68ehNDjruyd127PL5ujSr_T6k2qqvqGc6f2I_9uXEUhJcBPxzPH87sTl2_qoDvAs",
        "rank": 1
    },
    {
        "title": "Apple iPhone 15 Restored",
        "price": "Current Price: $629.99. ",
        "rawPrice": 629.99,
        "previousPrice": "",
        "rawPreviousPrice": null,
        "source": "Best Buy",
        "moreSources": true,
        "rating": 4.74,
        "reviews": 40,
        "tag": "",
        "extensions": [],
        "snippet": "Performs well (1,472 user reviews)",
        "delivery": "",
        "itemCondition": "",
        "link": "https://www.google.com/search?ibp=oshop&q=Apple%20iPhone%2015%20Restored&prds=catalogid:9402654696244930073,gpcid:6601648695432433635,imageDocid:602301387290717443,headlineOfferDocid:13053670377175262918,mid:576462758755759090,pvt:hg,rds:PC_6601648695432433635%7CPROD_PC_6601648695432433635&hl=en&gl=US&udm=28",
        "thumbnail": "https://encrypted-tbn3.gstatic.com/shopping?q=tbn:ANd9GcRJrxY0_e6BFkca_cUaa7A9e3AqExwD5D8hio7SoOkYtcupFhRBAzsza8muOxaGIIym295rxuIY9mA8ruRMsVrqHTj5aoCB",
        "rank": 2
    },
    .
    .
    .
    {
      "title": "Restored Apple iPhone XS",
      "price": "Current Price: $187.00. ",
      "rawPrice": 187,
      "previousPrice": "",
      "rawPreviousPrice": null,
      "source": "Back Market",
      "moreSources": true,
      "rating": 4.54,
      "reviews": 16,
      "tag": "59% OFF",
      "extensions": [
        "59% OFF"
      ],
      "snippet": "Quality camera (1,886 user reviews)",
      "delivery": "",
      "itemCondition": "Refurbished",
      "link": "https://www.google.com/search?ibp=oshop&q=Restored%20Apple%20iPhone%20XS&prds=catalogid:13775462339270574669,gpcid:6811745323585508222,imageDocid:2186771518964014332,headlineOfferDocid:1981731685576781749,mid:576462311032611740,pvt:hg,rds:PC_6811745323585508222%7CPROD_PC_6811745323585508222&hl=en&gl=US&udm=28",
      "thumbnail": "https://encrypted-tbn0.gstatic.com/shopping?q=tbn:ANd9GcQ6iCoITiP7poAenPeb8gxgy2TVtFFNduLT4QK4a7aP9woD7tbpVM8DafDejc7W2l_2FIDZnF4HbiZW-dwsog5CHq34xvsEP5lg1cP_fKz6MqfcQzbVyWCp",
      "rank": 40
    }
  ],
  "filters": [
    {
      "filter_type": "filters_carousel",
      "options": [
        {
          "filter": "Under ₪800",
          "shoprs": "CAEYBSoGaXBob25lMh8IFxITUmF0aW5nOiBoaWdoIHRvIGxvdyoEEAEYAVADMggIChIEVXNlZGACiAED"
        },
        {
          "filter": "Used",
          "shoprs": "CAESDRILEQAAAACE18dBGAEYCioGaXBob25lMh8IFxITUmF0aW5nOiBoaWdoIHRvIGxvdyoEEAEYAVADMiUIBRIMVW5kZXIg4oKqODAwGAIiDRILEQAAAACE18dBGAEqAhgBYAKIAQM"
        }
      ]
    }
  ],
  "pagination": {
    "currentPage": 1,
    "nextPage": 2,
    "nextPageLink": "https://www.google.com/search?q=iphone&sca_esv=09c32fb3115d7f12&hl=en&gl=US&udm=28&prmd=ivnsbm&ei=iopaaa7mJaHl5NoPpNq10A0&start=10&sa=N&shoprs=CAESDRILEQAAAACE18dBGAEYCioGaXBob25lMh8IFxITUmF0aW5nOiBoaWdoIHRvIGxvdyoEEAEYAVADMiUIBRIMVW5kZXIg4oKqODAwGAIiDRILEQAAAACE18dBGAEqAhgBMggIChIEVXNlZFiJqiBgAogBAw",
    "nextPageStart": 10
  }
}

```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://help.netnut.io/netnut-documentation/netnut-scraper-apis/serp-api/google-scraper/google-shopping/search-with-shoprs.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
