// post /v1/bulk/author
Bulk Author Finder API
Turn thousands of article URLs into verified author contact records with one asynchronous bulk request.
Article URLs最多 5,000 行
curl -X POST "https://api.tomba.io/v1/bulk/author" \
-H "X-Tomba-Key: $TOMBA_API_KEY" \
-H "X-Tomba-Secret: $TOMBA_SECRET_KEY" \
-H "Content-Type: application/json" \
-d '{"name":"Author Finder job","list":"https://piedpiper.com/blog/middle-out-compression","launch":true,"webhook_url":"https://hooks.example.com/tomba"}'const res = await fetch("https://api.tomba.io/v1/bulk/author", {
method: "POST",
headers: {
"X-Tomba-Key": process.env.TOMBA_API_KEY,
"X-Tomba-Secret": process.env.TOMBA_SECRET_KEY,
"Content-Type": "application/json"
},
body: JSON.stringify({
"name": "Author Finder job",
"list": "https://piedpiper.com/blog/middle-out-compression",
"launch": true,
"webhook_url": "https://hooks.example.com/tomba"
})
});
const { data } = await res.json(); // { id }import os, requests
res = requests.post(
"https://api.tomba.io/v1/bulk/author",
headers={
"X-Tomba-Key": os.environ["TOMBA_API_KEY"],
"X-Tomba-Secret": os.environ["TOMBA_SECRET_KEY"],
},
json={
"name": "Author Finder job",
"list": "https://piedpiper.com/blog/middle-out-compression",
"launch": True,
"webhook_url": "https://hooks.example.com/tomba"
},
)
job_id = res.json()["data"]["id"]// 01 · 请求
批量Author Finder只需一个 HTTPS 请求
使用您的密钥和密钥密码发送参数。每个 SDK、CLI 和 MCP 服务器都发出相同的调用。
- type
- author
- list | data | file
- Article URLs
- launch
- 设为 true 即立即启动任务
- webhook_url
- 任务结束时接收已签名的事件
- rows
- 每个任务最多 5,000 行
curl -X POST "https://api.tomba.io/v1/bulk/author" \
-H "X-Tomba-Key: $TOMBA_API_KEY" \
-H "X-Tomba-Secret: $TOMBA_SECRET_KEY" \
-H "Content-Type: application/json" \
-d '{"name":"Author Finder job","list":"https://piedpiper.com/blog/middle-out-compression","launch":true,"webhook_url":"https://hooks.example.com/tomba"}'const res = await fetch("https://api.tomba.io/v1/bulk/author", {
method: "POST",
headers: {
"X-Tomba-Key": process.env.TOMBA_API_KEY,
"X-Tomba-Secret": process.env.TOMBA_SECRET_KEY,
"Content-Type": "application/json"
},
body: JSON.stringify({
"name": "Author Finder job",
"list": "https://piedpiper.com/blog/middle-out-compression",
"launch": true,
"webhook_url": "https://hooks.example.com/tomba"
})
});
const { data } = await res.json(); // { id }import os, requests
res = requests.post(
"https://api.tomba.io/v1/bulk/author",
headers={
"X-Tomba-Key": os.environ["TOMBA_API_KEY"],
"X-Tomba-Secret": os.environ["TOMBA_SECRET_KEY"],
},
json={
"name": "Author Finder job",
"list": "https://piedpiper.com/blog/middle-out-compression",
"launch": True,
"webhook_url": "https://hooks.example.com/tomba"
},
)
job_id = res.json()["data"]["id"]// 02 · 响应
返回的内容
JSON,在任何语言中都相同。Tomba 不知道的字段为 null,绝不猜测。
GET
/author-finder字段data.emailstring | null- The address, or null when none is found
data.scoreinteger- Confidence from 0 to 100
data.verification.statusstring | null- valid, accept_all, invalid or unknown, with verification.date
data.full_name, data.position, data.departmentstring | null- Name, job title and team
data.typestring | null- personal or generic (a role address such as sales@)
data.linkedin, data.twitterstring | null- Public profiles
data.sources[]array | null- Up to 20 public pages where the address was found, with dates
data.info.title, data.info.publisher_name, data.info.publish_datestring- The article, who published it and when
data.info.candidates[]array | null- Every author candidate on the page, with a name confidence and score
POST /bulk/author
201 Created
{
"data": {
"id": 1042
}
}每一行,与 GET /author-finder 返回的内容相同
200 OK
{
"data": {
"email": "richard@piedpiper.com",
"first_name": "Richard",
"last_name": "Hendricks",
"full_name": "Richard Hendricks",
"website_url": "piedpiper.com",
"company": "Pied Piper",
"pattern": "{first}",
"department": "executive",
"type": "personal",
"position": "CEO",
"country": "US",
"gender": "male",
"twitter": null,
"linkedin": "https://www.linkedin.com/in/richard-hendricks",
"score": 100,
"accept_all": false,
"phone_number": true,
"verification": {
"date": "2025-01-15T10:32:00+01:00",
"status": "valid"
},
"sources": [
{
"uri": "https://piedpiper.com/blog/engineering",
"website_url": "piedpiper.com",
"extracted_on": "2024-06-01T09:14:07+01:00",
"last_seen_on": "2025-01-10T17:02:44+01:00",
"still_on_page": true
}
],
"info": {
"url": "https://piedpiper.com/blog/middle-out-compression",
"title": "Middle-out compression, explained",
"og_image": "https://piedpiper.com/blog/middle-out-compression/cover.png",
"description": "How middle-out compression reached a Weissman score of 5.2.",
"article_domain": "piedpiper.com",
"publisher_name": "Pied Piper",
"publish_date": "2025-03-04",
"candidates": [
{
"full_name": "Richard Hendricks",
"first_name": "Richard",
"last_name": "Hendricks",
"job_title": "CEO",
"linkedin": "https://www.linkedin.com/in/richard-hendricks",
"name_confidence": 0.98,
"score": 0.95,
"count": 3
}
]
}
}
}// 03 · 费用和限制
调用的费用
仅在满足以下条件时才对调用收费。速率限制取决于您的套餐。
// 费用
1 search credit per article with an author address.
Charged once, at the first download; later downloads are free
- Jobs created: 15 per day for each type
- Running jobs: 2 per type
- Downloads: 25 per day for each job
- Request size: 4 MB (CSV, list or rows)
Create a bulk operation by uploading article URLs, then launch the operation. The API extracts author information and finds their email addresses asynchronously for all URLs.
You can process up to 10,000 article URLs per bulk operation. For larger datasets, create multiple bulk operations.
The API works with blog posts, news articles, and content pages from most CMS platforms including WordPress, Medium, Ghost, and custom publishing systems.
Each result includes the author's email address, full name, company, position, LinkedIn profile, confidence score, and sources where the information was found.
处理时间取决于 URL 数量。通常每个 URL 需要 2-3 秒。5,000 个 URL 的批次通常在数小时内完成。
Each URL that returns an author email counts as 1 request. URLs where no author email is found are not counted against your quota.
Yes, configure a webhook URL to receive a notification when your bulk author finder operation completes with results ready for download.
The API returns the primary author's email address. For articles with multiple authors, consider using individual Author Finder API calls.
Yes. Teams use Bulk Author Finder to build media and contributor lists at scale, then route high-confidence contacts into outreach sequences.
Provide clean canonical article URLs, avoid homepage/category pages, and remove URL duplicates before submission to maximize extraction quality.