// post /v1/bulk/search
Bulk Domain Search API
Discover decision-maker emails across hundreds of domains in one asynchronous API job with export-ready results.
Domains or company namesحتى 25,000 صف
curl -X POST "https://api.tomba.io/v1/bulk/search" \
-H "X-Tomba-Key: $TOMBA_API_KEY" \
-H "X-Tomba-Secret: $TOMBA_SECRET_KEY" \
-H "Content-Type: application/json" \
-d '{"name":"Domain Search job","list":"piedpiper.com\nshopify.com\nnotion.so","launch":true,"webhook_url":"https://hooks.example.com/tomba"}'const res = await fetch("https://api.tomba.io/v1/bulk/search", {
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": "Domain Search job",
"list": "piedpiper.com\nshopify.com\nnotion.so",
"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/search",
headers={
"X-Tomba-Key": os.environ["TOMBA_API_KEY"],
"X-Tomba-Secret": os.environ["TOMBA_SECRET_KEY"],
},
json={
"name": "Domain Search job",
"list": "piedpiper.com\nshopify.com\nnotion.so",
"launch": True,
"webhook_url": "https://hooks.example.com/tomba"
},
)
job_id = res.json()["data"]["id"]// 01 · الطلب
Domain Search مجمّع هو طلب HTTPS واحد
أرسل المعاملات مع مفتاحك وسرّك. كل SDK وCLI وخادم MCP ينفّذون هذا الاستدعاء نفسه.
- type
- search
- list | data | file
- Domains or company names
- launch
- القيمة true تبدأ المهمة فورًا
- webhook_url
- يستقبل حدثًا موقّعًا عند انتهاء المهمة
- rows
- حتى 25,000 لكل مهمة
curl -X POST "https://api.tomba.io/v1/bulk/search" \
-H "X-Tomba-Key: $TOMBA_API_KEY" \
-H "X-Tomba-Secret: $TOMBA_SECRET_KEY" \
-H "Content-Type: application/json" \
-d '{"name":"Domain Search job","list":"piedpiper.com\nshopify.com\nnotion.so","launch":true,"webhook_url":"https://hooks.example.com/tomba"}'const res = await fetch("https://api.tomba.io/v1/bulk/search", {
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": "Domain Search job",
"list": "piedpiper.com\nshopify.com\nnotion.so",
"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/search",
headers={
"X-Tomba-Key": os.environ["TOMBA_API_KEY"],
"X-Tomba-Secret": os.environ["TOMBA_SECRET_KEY"],
},
json={
"name": "Domain Search job",
"list": "piedpiper.com\nshopify.com\nnotion.so",
"launch": True,
"webhook_url": "https://hooks.example.com/tomba"
},
)
job_id = res.json()["data"]["id"]// 02 · الاستجابة
ما يُعاد إليك
JSON، متطابقة في كل لغة. الحقول التي لا تعرفها Tomba تكون null، ولا تُخمَّن أبدًا.
GET
/domain-searchالحقلdata.organizationobject- Company name, location, social links, industry, size, revenue, description, pattern
data.organization.accept_allboolean- The domain accepts mail for any address (catch-all)
data.emails[].emailstring- Each address found
data.emails[].full_name, data.emails[].position, data.emails[].departmentstring | null- Name, job title and team
data.emails[].senioritystring | null- junior, senior or executive
data.emails[].scoreinteger- Confidence from 0 to 100
data.emails[].verification.statusstring | null- valid, accept_all, invalid or unknown, with verification.date
data.emails[].sources[]array- Where each address was found
meta.total, meta.total_pagesinteger- Addresses that match, and pages at this pageSize
meta.current, meta.pageSizeinteger- This page and its size
meta.paramsobject- The parameters the search ran with
POST /bulk/search
201 Created
{
"data": {
"id": 1042
}
}كل صف، كما يعيده GET /domain-search
200 OK
{
"data": {
"organization": {
"website_url": "piedpiper.com",
"organization": "Pied Piper",
"location": {
"country": "US",
"city": "Palo Alto",
"state": "CA",
"street_address": "5230 Newell Road",
"postal_code": "94303"
},
"social_links": {
"twitter_url": null,
"facebook_url": null,
"instagram_url": null,
"linkedin_url": "https://www.linkedin.com/company/pied-piper",
"github_url": null,
"youtube_url": null,
"pinterest_url": null,
"tiktok_url": null
},
"disposable": false,
"webmail": false,
"phone_number": false,
"industries": "computer software",
"founded": "2014",
"company_size": "11-50",
"company_type": "privately held",
"revenue": null,
"accept_all": false,
"description": "Pied Piper builds middle-out compression for files, video and a decentralized internet.",
"pattern": "{first}",
"total_similar": 2,
"keywords": [
"compression",
"middle-out",
"decentralized internet"
],
"ranking": null,
"whois": {
"registrar_name": null,
"created_date": null,
"referral_url": null
},
"last_updated": "2025-01-15T10:32:00+01:00"
},
"emails": [
{
"email": "dinesh@piedpiper.com",
"first_name": "Dinesh",
"last_name": "Chugtai",
"full_name": "Dinesh Chugtai",
"gender": "male",
"phone_number": false,
"type": "personal",
"country": "US",
"position": "Software Engineer",
"department": "engineering",
"seniority": "senior",
"twitter": null,
"linkedin": null,
"score": 99,
"verification": {
"date": "2025-01-15T10:32:00+01:00",
"status": "valid"
},
"phone_data": [],
"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
}
]
},
{
"email": "gilfoyle@piedpiper.com",
"first_name": "Bertram",
"last_name": "Gilfoyle",
"full_name": "Bertram Gilfoyle",
"gender": "male",
"phone_number": false,
"type": "personal",
"country": "US",
"position": "Systems Architect",
"department": "engineering",
"seniority": "senior",
"twitter": null,
"linkedin": null,
"score": 97,
"verification": {
"date": "2025-01-15T10:32:00+01:00",
"status": "valid"
},
"phone_data": [],
"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
}
]
}
]
},
"meta": {
"total": 12,
"pageSize": 10,
"current": 1,
"total_pages": 2,
"params": {
"domain": "piedpiper.com",
"company": "",
"page": 1,
"limit": 10,
"department": "engineering",
"country": null,
"type": "all",
"live": false,
"enrich_mobile": false,
"webhook_url": null
}
}
}// 03 · التكلفة والحدود
تكلفة الاستدعاء
لا يُخصم الاستدعاء إلا وفق الشرط أدناه. تعتمد حدود المعدّل على خطتك.
// التكلفة
Per domain with at least one address: 1 search credit per 10 addresses returned, at most 10. Plus 5 per address with phone data.
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 a list of company domains, then launch the operation. The API searches for all email addresses associated with each domain asynchronously.
You can process up to 25,000 domains per bulk operation. Each domain returns up to 10 emails per search.
Yes, you can specify department filters (executive, marketing, HR, IT, sales, etc.) and seniority levels when creating the bulk operation.
Each domain returns found email addresses with full name, position, department, seniority, LinkedIn profile, confidence score, and sources.
Processing time depends on the number of domains. Typical processing is 2-5 seconds per domain. A batch of 25,000 domains typically completes within 1-2 hours.
Each domain search that returns results is counted as 1 request for up to 10 emails. Domains with no results found are not counted.
Yes, configure a webhook URL to receive a notification when your bulk domain search completes with the bulk_id and status.
Once processing completes, use the download endpoint to get all results as CSV or JSON, including all emails found for each domain.
Yes. You can run returned emails through Bulk Email Enrichment or Bulk Email Verifier to add context and improve deliverability before outreach.
Business domains with active websites and public employee footprints usually produce stronger coverage. Use root domains and remove duplicates before submission.