[
{
"id": "pubmed-medical-research-api_1000",
"service": "pubmed-medical-research-api",
"title": "PUBMED MEDICAL RESEARCH Record #1",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for pubmed-medical-research-api",
"inputReceived": {
"searchTerm": "artificial intelligence radiology",
"maxItems": 30
},
"data": {
"index": 1,
"relevanceScore": 0.95,
"summary": "High-fidelity structured response for PUBMED MEDICAL RESEARCH query parameter extraction.",
"attributes": {
"region": "Global",
"category": "PUBMED",
"timestamp": "2026-10-12T11:45:09.554Z"
}
},
"timestamp": "2026-10-12T11:45:09.554Z"
},
{
"id": "pubmed-medical-research-api_1001",
"service": "pubmed-medical-research-api",
"title": "PUBMED MEDICAL RESEARCH Record #2",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for pubmed-medical-research-api",
"inputReceived": {
"searchTerm": "artificial intelligence radiology",
"maxItems": 30
},
"data": {
"index": 2,
"relevanceScore": 0.8999999999999999,
"summary": "High-fidelity structured response for PUBMED MEDICAL RESEARCH query parameter extraction.",
"attributes": {
"region": "Global",
"category": "PUBMED",
"timestamp": "2026-10-12T11:45:09.554Z"
}
},
"timestamp": "2026-10-12T11:45:09.554Z"
},
{
"id": "pubmed-medical-research-api_1002",
"service": "pubmed-medical-research-api",
"title": "PUBMED MEDICAL RESEARCH Record #3",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for pubmed-medical-research-api",
"inputReceived": {
"searchTerm": "artificial intelligence radiology",
"maxItems": 30
},
"data": {
"index": 3,
"relevanceScore": 0.85,
"summary": "High-fidelity structured response for PUBMED MEDICAL RESEARCH query parameter extraction.",
"attributes": {
"region": "Global",
"category": "PUBMED",
"timestamp": "2026-10-12T11:45:09.554Z"
}
},
"timestamp": "2026-10-12T11:45:09.554Z"
},
{
"id": "pubmed-medical-research-api_1003",
"service": "pubmed-medical-research-api",
"title": "PUBMED MEDICAL RESEARCH Record #4",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for pubmed-medical-research-api",
"inputReceived": {
"searchTerm": "artificial intelligence radiology",
"maxItems": 30
},
"data": {
"index": 4,
"relevanceScore": 0.7999999999999999,
"summary": "High-fidelity structured response for PUBMED MEDICAL RESEARCH query parameter extraction.",
"attributes": {
"region": "Global",
"category": "PUBMED",
"timestamp": "2026-10-12T11:45:09.554Z"
}
},
"timestamp": "2026-10-12T11:45:09.554Z"
},
{
"id": "pubmed-medical-research-api_1004",
"service": "pubmed-medical-research-api",
"title": "PUBMED MEDICAL RESEARCH Record #5",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for pubmed-medical-research-api",
"inputReceived": {
"searchTerm": "artificial intelligence radiology",
"maxItems": 30
},
"data": {
"index": 5,
"relevanceScore": 0.75,
"summary": "High-fidelity structured response for PUBMED MEDICAL RESEARCH query parameter extraction.",
"attributes": {
"region": "Global",
"category": "PUBMED",
"timestamp": "2026-10-12T11:45:09.554Z"
}
},
"timestamp": "2026-10-12T11:45:09.554Z"
}
]
curl --location --request POST 'https://zylalabs.com/api/14196/pubmed+biomedical+and+clinical+research+scraper+api/35251/execute+pubmed+biomedical+and+clinical+research+scraper+api' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{"searchTerm":"artificial intelligence radiology","maxItems":30}'
注册后,每个开发者都会被分配一个个人 API 访问密钥,这是一个唯一的字母和数字组合,用于访问我们的 API 端点。要使用 PubMed生物医学和临床研究抓取器 API 进行身份验证,只需在 Authorization 标头中包含您的 bearer token。
| 标头 | 描述 |
|---|---|
授权
|
必需
应为 Bearer access_key. 订阅后,请查看上方的"您的 API 访问密钥"。
|
无长期承诺。随时升级、降级或取消。 免费试用包括最多 50 个请求。
(年度计费可节省 2 个月 🎉)
该端点返回来自PubMed的结构化数据,包括文章标题、摘要、作者、出版详情和相关的医学主题词(MeSH)。这些数据支持各种研究需求和应用
响应中的关键字段包括 "id" "title" "summary" "attributes"(包含 "region" 和 "category")以及 "timestamp" 这些字段提供了关于每个研究记录的基本信息
用户可以使用"searchTerm"、"maxItems"、"authors"、"publication dates"和"journal titles"等参数自定义他们的请求 这种灵活性允许根据特定的研究需求进行量身定制的搜索
响应数据组织为一个JSON数组,每个条目包含关于研究论文的结构化信息 每个条目包括相关性分数和输入参数等元数据,便于数据的轻松提取
数据来源于PubMed NCBI数据库,该数据库包含大量生物医学文献和临床研究。这确保用户可以访问高质量和可信的研究信息
典型的用例包括进行系统评审的学术研究人员、及时掌握医学发现的医疗专业人士以及将生物医学数据集成到应用程序中以增强决策支持的开发人员
用户可以分析返回的数据以识别趋势进行文献综述或支持临床决策结构化格式便于进一步分析时集成到数据库或应用程序中
如果响应包含部分或空结果,用户应该细化他们的搜索参数,例如使用更具体的关键词或调整日期范围,以提高返回数据的相关性和数量