根据案件 ID (docketID) 获取该案件的所有 entries(条目)。每个条目包含基本信息(entryID、title、entryDate、docNumber、fileSize)以及附属数据:attachments(附件列表)、copyrightImages(版权证据图片)、trademarkPatentImages(商标专利图片)。
请求参数
| 参数 | 类型 | 必填 | 默认 | 说明 |
|---|---|---|---|---|
docketID | string | ✅ | "" | 案件 ID,从 /tro/recent 接口返回的 docketID 字段获取 |
请求示例
{
"docketID": "fdb41b2e-8e56-4eb8-96ef-042d919c5e01"
} cURLPython
curl -X POST "https://api.trohub.com/v1/tro/entries" \
-H "X-API-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"docketID":"fdb41b2e-8e56-4eb8-96ef-042d919c5e01"}'import requests
url = "https://api.trohub.com/v1/tro/entries"
headers = {
"X-API-Key": "YOUR_API_KEY",
"Content-Type": "application/json"
}
payload = {"docketID": "fdb41b2e-8e56-4eb8-96ef-042d919c5e01"}
response = requests.post(url, headers=headers, json=payload)
print(response.json()) 🔧 API 沙盒测试 POST
/tro/entries 响应示例
{
"ok": true,
"message": "成功",
"responseType": "v2",
"data": [
{
"entryID": "entry-001",
"title": "COMPLAINT",
"entryDate": "2026-07-01",
"docNumber": 1,
"fileSize": 1024000,
"attachments": [
{
"id": 1,
"title": "Complaint.pdf",
"attachmentNumber": 1,
"fileSize": 1024000,
"downloadable": true,
"restricted": false
}
],
"copyrightImages": [
{
"id": "img-001",
"imageUrl": "https://images.trohub.com/xxx.jpg",
"imageKey": "ilnd/xxx.jpg",
"displaySort": 0,
"public": true
}
],
"trademarkPatentImages": [
{
"id": "tm-img-001",
"imageUrl": "https://patent-trademark-images.trohub.com/xxx.jpg",
"imageKey": "tm/xxx.jpg",
"displaySort": 0,
"public": true
}
]
}
]
}