谷歌学术 API

实时获取来自 Google Scholar 的学术论文检索结果。设置 engine=google_scholar，并在 q 中传入主题或论文标题，即可获得包含作者、引用数和 PDF 链接的结构化出版物列表。

Endpoint

GET https://serp.shifter.io/v1?engine=google_scholar&api_key=YOUR_API_KEY

Parameters

Parameter	Type	Required	Description
api_key	string	yes	您的 SERP API 密钥
engine	string	yes	必须为 google_scholar
q	string	yes	搜索查询
lr	string	no	语言限制，格式为 lang_xx
hl	string	no	界面语言代码
start	int	no	用于分页的结果偏移量
num	int	no	每页结果数量
as_vis	int	no	1 表示排除引用，0 表示包含引用
safe	string	no	active 或 off
cites	string	no	文章唯一 ID，用于触发被引用搜索
as_ylo	int	no	纳入结果的最早年份
as_yhi	int	no	纳入结果的最晚年份
scisbd	int	no	1 表示仅摘要，0 表示所有结果

Example request

curl

curl "https://serp.shifter.io/v1?engine=google_scholar&api_key=YOUR_API_KEY&q=python"

Python

import requests

params = {
    "engine": "google_scholar",
    "api_key": "YOUR_API_KEY",
    "q": "python",
}
r = requests.get("https://serp.shifter.io/v1", params=params)
data = r.json()

Node.js

import fetch from 'node-fetch';

const url = 'https://serp.shifter.io/v1?' + new URLSearchParams({
  engine: 'google_scholar',
  api_key: 'YOUR_API_KEY',
  q: 'python',
});
const data = await (await fetch(url)).json();

Example response

{
  "search_parameters": {
    "engine": "google_scholar",
    "q": "python"
  },
  "organic_results": [
    {
      "position": 1,
      "title": "Python for data analysis",
      "result_id": "FDc6HiktlqEJ",
      "link": "https://example.com/paper.pdf",
      "snippet": "This book is concerned with the nuts and bolts of manipulating...",
      "publication_info": {
        "summary": "W McKinney - 2012 - oreilly.com"
      },
      "inline_links": {
        "cited_by": { "total": 12000, "cites_id": "11234567" }
      }
    }
  ]
}

See also

• Google SERP 概览
• 响应结构
• Google Scholar Author API
• Google Scholar Cite API
• Google Scholar Profiles API