Skill: Serpshot Google Search API

Perform Google web searches and image searches using the Serpshot API.

When to Use

• User says: search / find / google / lookup / research / look up / browse
• User says: 查 / 搜 / 找 / 调研 / 查一下 / 搜索 / 查询 / 找一下 / 查资料
• Need real-time web information not in training data
• Need current news, prices, documentation, or any live data
• Need image search results

Setup (run once)

1. Get API key: https://serpshot.com/dashboard
2. Set environment variable:
   • Mac/Linux: export SERPSHOT_API_KEY=your_key
   • Windows CMD: set SERPSHOT_API_KEY=your_key
   • Windows PowerShell: $env:SERPSHOT_API_KEY="your_key"

Tools

• exec — Run Python to call Serpshot API

How to Use

Web Search

import requests
import os

api_key = os.environ.get("SERPSHOT_API_KEY")
if not api_key:
    raise ValueError("SERPSHOT_API_KEY is not set. Get your key at https://serpshot.com/dashboard")

response = requests.post(
    "https://api.serpshot.com/api/search/google",
    headers={"X-API-Key": api_key, "Content-Type": "application/json"},
    json={
        "queries": ["your search query here"],
        "type": "search",
        "num": 10,       # results per page (1-100)
        "gl": "us",      # country: us/cn/gb/jp/de/ca/fr/...
        "hl": "en",      # language: en/zh-Hans/ja/...
    }
)

data = response.json()
if data.get("code") != 200:
    raise RuntimeError(f"API error {data.get('code')}: {data.get('msg')}")

for r in data["data"]["results"]:
    print(f"{r['position']}. {r['title']}")
    print(f"   {r['link']}")
    print(f"   {r['snippet']}")
    print()

Image Search

import requests
import os

api_key = os.environ.get("SERPSHOT_API_KEY")

response = requests.post(
    "https://api.serpshot.com/api/search/google",
    headers={"X-API-Key": api_key, "Content-Type": "application/json"},
    json={
        "queries": ["your image query here"],
        "type": "image",
        "num": 10,
        "gl": "us",
    }
)

data = response.json()
if data.get("code") != 200:
    raise RuntimeError(f"API error {data.get('code')}: {data.get('msg')}")

for r in data["data"]["results"]:
    print(f"{r['position']}. {r['title']}")
    print(f"   Source: {r.get('source', '')}")
    print(f"   Link: {r['link']}")
    print(f"   Thumbnail: {r.get('thumbnail', '')}")
    print()

Parameters

Response Format

{
  "code": 200,
  "msg": "Success",
  "data": {
    "results": [
      {
        "title": "Result Title",
        "link": "https://example.com",
        "snippet": "Result description...",
        "position": 1
      }
    ],
    "total_results": "About 12,300,000 results",
    "search_time": 0.45,
    "credits_used": 1
  }
}

Example Tasks

Search for latest AI news (English)

queries: ["AI news 2026"]
gl: "us"
num: 5

Search Chinese results

queries: ["人工智能 最新消息"]
gl: "cn"
hl: "zh-Hans"
num: 10

Image search

queries: ["minimalist UI design"]
type: "image"
num: 10

Error Codes

Notes

• Each search query uses 1 credit
• Check remaining credits: GET https://api.serpshot.com/api/credit/available-credits
• Full API docs: https://serpshot.com/docs