// post /v1/bulk/author
Bulk Author Finder API
Turn thousands of article URLs into verified author contact records with one asynchronous bulk request.
Article URLsTot 5,000 rijen
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 · verzoek
Bulk Author Finder is één HTTPS-verzoek
Stuur de parameters mee met je sleutel en secret. Elke SDK, de CLI en de MCP-server doen precies deze aanroep.
- type
- author
- list | data | file
- Article URLs
- launch
- true start de taak meteen
- webhook_url
- Ontvangt een ondertekend event als de taak klaar is
- rows
- Tot 5,000 per taak
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 · antwoord
Wat je terugkrijgt
JSON, in elke taal hetzelfde. Velden die Tomba niet kent zijn null, nooit gegokt.
GET
/author-finderVelddata.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
}
}Elke rij, zoals GET /author-finder die teruggeeft
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 · kosten en limieten
Wat een aanroep kost
Een aanroep wordt alleen in rekening gebracht onder de voorwaarde hieronder. Rate limits hangen af van je abonnement.
// 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)
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.
De verwerkingstijd hangt af van het aantal URL's. Gemiddeld duurt de verwerking 2-3 seconden per URL. Een batch van 5.000 URL's is doorgaans binnen enkele uren klaar.
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.