[
{
"id": "federal-register-documents-api_1000",
"service": "federal-register-documents-api",
"title": "FEDERAL REGISTER DOCUMENTS Record #1",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for federal-register-documents-api",
"inputReceived": {
"searchTerm": "artificial intelligence",
"documentType": "ALL",
"agency": "sample_value",
"maxItems": 40
},
"data": {
"index": 1,
"relevanceScore": 0.95,
"summary": "High-fidelity structured response for FEDERAL REGISTER DOCUMENTS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "FEDERAL",
"timestamp": "2026-10-12T06:15:33.232Z"
}
},
"timestamp": "2026-10-12T06:15:33.232Z"
},
{
"id": "federal-register-documents-api_1001",
"service": "federal-register-documents-api",
"title": "FEDERAL REGISTER DOCUMENTS Record #2",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for federal-register-documents-api",
"inputReceived": {
"searchTerm": "artificial intelligence",
"documentType": "ALL",
"agency": "sample_value",
"maxItems": 40
},
"data": {
"index": 2,
"relevanceScore": 0.8999999999999999,
"summary": "High-fidelity structured response for FEDERAL REGISTER DOCUMENTS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "FEDERAL",
"timestamp": "2026-10-12T06:15:33.232Z"
}
},
"timestamp": "2026-10-12T06:15:33.232Z"
},
{
"id": "federal-register-documents-api_1002",
"service": "federal-register-documents-api",
"title": "FEDERAL REGISTER DOCUMENTS Record #3",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for federal-register-documents-api",
"inputReceived": {
"searchTerm": "artificial intelligence",
"documentType": "ALL",
"agency": "sample_value",
"maxItems": 40
},
"data": {
"index": 3,
"relevanceScore": 0.85,
"summary": "High-fidelity structured response for FEDERAL REGISTER DOCUMENTS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "FEDERAL",
"timestamp": "2026-10-12T06:15:33.232Z"
}
},
"timestamp": "2026-10-12T06:15:33.232Z"
},
{
"id": "federal-register-documents-api_1003",
"service": "federal-register-documents-api",
"title": "FEDERAL REGISTER DOCUMENTS Record #4",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for federal-register-documents-api",
"inputReceived": {
"searchTerm": "artificial intelligence",
"documentType": "ALL",
"agency": "sample_value",
"maxItems": 40
},
"data": {
"index": 4,
"relevanceScore": 0.7999999999999999,
"summary": "High-fidelity structured response for FEDERAL REGISTER DOCUMENTS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "FEDERAL",
"timestamp": "2026-10-12T06:15:33.232Z"
}
},
"timestamp": "2026-10-12T06:15:33.232Z"
},
{
"id": "federal-register-documents-api_1004",
"service": "federal-register-documents-api",
"title": "FEDERAL REGISTER DOCUMENTS Record #5",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for federal-register-documents-api",
"inputReceived": {
"searchTerm": "artificial intelligence",
"documentType": "ALL",
"agency": "sample_value",
"maxItems": 40
},
"data": {
"index": 5,
"relevanceScore": 0.75,
"summary": "High-fidelity structured response for FEDERAL REGISTER DOCUMENTS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "FEDERAL",
"timestamp": "2026-10-12T06:15:33.232Z"
}
},
"timestamp": "2026-10-12T06:15:33.232Z"
}
]
curl --location --request POST 'https://zylalabs.com/api/14156/federal+register+us+rules+and+regulations+scraper+api/35200/execute+federal+register+us+rules+and+regulations+scraper+api' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{"searchTerm":"artificial intelligence","documentType":"ALL","agency":"sample_value","maxItems":40}'
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 联邦公报美国规则和条例抓取器 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"。
|
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(年度计费可节省 2 个月 🎉)
该端点返回与美国联邦政府法规、提议的法规、行政命令、总统文件、公众通知和机构监管档案相关的数据。每个响应包括文档标题、状态、摘要和相关属性等细节
响应中的关键字段包括“id”“title”“status”“result”“inputReceived”和“data”“data”字段包含“summary”“region”“category”和“timestamp”等属性,为每个文档提供必要的上下文
用户可以使用诸如“searchTerm”、“documentType”、“agency”和“maxItems”等参数自定义他们的请求 这些参数允许进行有针对性的搜索并控制返回数据的数量
响应数据被组织为一个包含对象的 JSON 数组,每个对象代表一个文档。每个对象包含结构化字段,提供关于文档的全面信息,使其易于解析和利用
数据来源于联邦公报,这是美国联邦政府的正式日报。这确保了关于联邦法规和通知的信息是权威且最新的
典型的使用案例包括监测法规变化 进行合规的法律研究 和汇总数据以进行学术研究 企业和法律专业人士可以自动化跟踪影响其运营的相关更新
用户可以通过分析“摘要”和“相关性评分”来优先考虑文档 “时间戳”有助于跟踪信息的时效性 “属性”提供地域和分类相关性的背景
数据准确性通过定期从联邦公报更新来维护,并进行质量检查以确保信息可靠。此过程包括对文件状态和内容完整性的验证