[
{
"id": "pinterest-board-pins-api_1000",
"service": "pinterest-board-pins-api",
"title": "PINTEREST BOARD PINS Record #1",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for pinterest-board-pins-api",
"inputReceived": {
"username": "pinterest",
"board": "sample_value",
"maxItems": 30
},
"data": {
"index": 1,
"relevanceScore": 0.95,
"summary": "High-fidelity structured response for PINTEREST BOARD PINS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "PINTEREST",
"timestamp": "2026-10-12T11:23:01.100Z"
}
},
"timestamp": "2026-10-12T11:23:01.100Z"
},
{
"id": "pinterest-board-pins-api_1001",
"service": "pinterest-board-pins-api",
"title": "PINTEREST BOARD PINS Record #2",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for pinterest-board-pins-api",
"inputReceived": {
"username": "pinterest",
"board": "sample_value",
"maxItems": 30
},
"data": {
"index": 2,
"relevanceScore": 0.8999999999999999,
"summary": "High-fidelity structured response for PINTEREST BOARD PINS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "PINTEREST",
"timestamp": "2026-10-12T11:23:01.100Z"
}
},
"timestamp": "2026-10-12T11:23:01.100Z"
},
{
"id": "pinterest-board-pins-api_1002",
"service": "pinterest-board-pins-api",
"title": "PINTEREST BOARD PINS Record #3",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for pinterest-board-pins-api",
"inputReceived": {
"username": "pinterest",
"board": "sample_value",
"maxItems": 30
},
"data": {
"index": 3,
"relevanceScore": 0.85,
"summary": "High-fidelity structured response for PINTEREST BOARD PINS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "PINTEREST",
"timestamp": "2026-10-12T11:23:01.100Z"
}
},
"timestamp": "2026-10-12T11:23:01.100Z"
},
{
"id": "pinterest-board-pins-api_1003",
"service": "pinterest-board-pins-api",
"title": "PINTEREST BOARD PINS Record #4",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for pinterest-board-pins-api",
"inputReceived": {
"username": "pinterest",
"board": "sample_value",
"maxItems": 30
},
"data": {
"index": 4,
"relevanceScore": 0.7999999999999999,
"summary": "High-fidelity structured response for PINTEREST BOARD PINS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "PINTEREST",
"timestamp": "2026-10-12T11:23:01.100Z"
}
},
"timestamp": "2026-10-12T11:23:01.100Z"
},
{
"id": "pinterest-board-pins-api_1004",
"service": "pinterest-board-pins-api",
"title": "PINTEREST BOARD PINS Record #5",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for pinterest-board-pins-api",
"inputReceived": {
"username": "pinterest",
"board": "sample_value",
"maxItems": 30
},
"data": {
"index": 5,
"relevanceScore": 0.75,
"summary": "High-fidelity structured response for PINTEREST BOARD PINS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "PINTEREST",
"timestamp": "2026-10-12T11:23:01.100Z"
}
},
"timestamp": "2026-10-12T11:23:01.100Z"
}
]
curl --location --request POST 'https://zylalabs.com/api/14191/pinterest+user+and+board+pins+scraper+api/35246/execute+pinterest+user+and+board+pins+scraper+api' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{"username":"pinterest","board":"sample_value","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 Pinterest 用户和板针抓取器 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API返回公共的Pinterest钉子,包括标题、描述、高分辨率媒体URL、发布时间和原始来源链接。此数据经过结构化,便于集成到应用程序中
响应中的关键字段包括"id" "title" "status" "result" "timestamp"和"data" "data"包含每个针的"region" "category"和"timestamp"等属性
响应数据以标准化的JSON格式组织,每个引脚作为数组中的一个对象表示。每个对象包含元数据和属性,便于解析和集成
该API提供有关公共Pinterest钉子的资讯,包括其标题、描述、媒体网址、发布日期以及原始来源的链接,允许进行全面的数据提取
用户可以通过指定Pinterest账户的“用户名”自定义请求 可选的“板块”用于特定板块,以及“最大项目数”以限制返回的图钉数量
数据直接来自公共Pinterest个人资料和板块,确保实时访问最新的图钉和相关元数据,无需用户身份验证
典型的使用案例包括市场情报、竞争分析、内容创建以及集成到仪表盘或应用程序中以增强用户参与度和洞察力
用户可以解析 JSON 响应以提取相关字段进行分析 在仪表板上显示 或输入机器学习模型 利用结构化格式用于各种应用