// post /v1/bulk/author
Bulk Author Finder-API
Verwandeln Sie Tausende von Artikel-URLs mit einer asynchronen Massenanforderung in verifizierte Autorenkontaktdatensätze.
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 · anfrage
Massen-Author Finder ist eine HTTPS-Anfrage
Senden Sie die Parameter mit Ihrem Schlüssel und Secret. Jedes SDK, die CLI und der MCP-Server stellen genau diesen Aufruf.
- type
- author
- list | data | file
- Article URLs
- launch
- true startet den Job sofort
- webhook_url
- Erhält ein signiertes Ereignis, wenn der Job endet
- rows
- Bis zu 5,000 pro Job
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 · antwort
Was zurückkommt
JSON, in jeder Sprache gleich. Felder, die Tomba nicht kennt, sind null und werden nie geraten.
/author-finderFelddata.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
{
"data": {
"id": 1042
}
}{
"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 · kosten und limits
Was ein Aufruf kostet
Ein Aufruf wird nur unter der unten genannten Bedingung berechnet. Die Rate Limits hängen von Ihrem Tarif ab.
// kosten
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)