// author finder
Find the email of the person who wrote it
Paste an article URL. Tomba finds the author, then their verified email and profiles, so you pitch the writer instead of the newsroom's inbox.
// api console
ExampleExample response from the API reference
Vineet Devaiah
Founder & CEO · Teliportme
vineet@teliportme.comvalid
Article Thoughts on the future of where Trisio is going
Found on 1 public pageappsumo.com/products/teliportme-virtual-tours
- Phone available
- —
- in/vineetdevaiah
- Pattern
- —
- Catch-all domain
- No
// teams at these companies use tomba
// 01 · in the app
Author Finder in the Tomba app
Paste an article URL in the web app's Author Finder: the writer, their verified address and their profiles.
// also in
- REST APIJSON over HTTPS, 13 SDKs, signed webhooks.
- Bulk CSVUpload a list in the app or POST it to /bulk; download when it's done.
- Browser extensionThe author's address on the article you are reading.
- MCP for AI agentsRemote MCP server, 28 tools, OAuth sign-in.
- CLIEvery endpoint from the terminal, JSON or CSV out.
- Zapier, Make, n8nNo-code actions for the finder, verifier and enrichment.
// 02 · the api
Author Finder is one HTTPS request
Send the parameters with your key and secret. Every SDK, the CLI and the MCP server make this same call.
GET
/author-finderurlrequired- The article URL
// cost
Rate limits by plan1search credit
Charged when: An address is returned.
Errors, 429 and 451 responses, and the same request again within your usage window cost nothing.
13 official SDKs: C#, Dart, Deno, Elixir, Go, Lua, Node.js, Perl, PHP, Python, R, Ruby, Rust. Libraries in the docs
GET /author-finder
200 OK· 1 search credit
{
"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
}
]
}
}
}GET
/author-finderdata.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
// 03 · customers
What customers say
I spend 3+ months creating best in class content in the form of data-based research studies. When all is said and done, Tomba is the tool I turn to. Tomba finding the contacts for the perfect prospects at scale is game changing in helping us promote.
Nicholas RizzoSenior Digital Manager, VizmeWe rely on Tomba.io to efficiently locate email addresses of key professionals.
Josh LeierCreative Director, IceHound Marketing
// 04 · capabilities
From an article to its author
One URL in, one verified address out.
Any article URL
Blog posts, news articles and guest posts: Tomba reads the page to find who wrote it.
Verified before you pitch
The address comes with its verification status and score.
The author, not just the address
Get the author's name, position and LinkedIn and X profiles in the same result.
The article it came from
The result names the article, its publisher and its publication date.
No address, no charge
If Tomba can't find the author's address, the search costs nothing.
A list of URLs at once
Upload a CSV of article URLs to the bulk author finder.
// 05 · use cases
What teams build with Author Finder
- Link buildingReach the writer of each article you want a link from.
- PR pitchesPitch the journalist who covers your space, not the newsroom's general inbox.
- Guest posts and partnershipsContact bloggers in your niche with an address you can trust.
- Research outreachFind the authors behind a list of articles in one upload.
Paste an article URL, and our AI identifies the author name from the page metadata. We then cross-reference our database of 450M+ verified contacts to find a verified match. If no direct match exists, we deduce the most likely address and verify it.
Every email passes free verification before delivery. Emails marked with a green Verified shield are confirmed deliverable. Unverified addresses include a confidence score so you can decide how to proceed.
Both. First, we search our database of publicly available emails. If no direct match exists, we use multiple data points to deduce the most likely address. Either way, every email goes through verification before delivery.
Yes. Upload a CSV of article URLs to the Bulk Author Finder, or use our Google Sheets add-on to enrich URLs directly in your spreadsheet.
Most tools cannot extract emails from article URLs at all. Tomba identifies the author automatically, cross-references 450M+ verified contacts, verifies every result, and provides source URLs with discovery dates. All GDPR compliant.
Domain Search finds all emails for a company. Email Finder locates individuals by name. LinkedIn Finder extracts emails from LinkedIn profiles.
Paste the article URL into the Author Email Finder. Our AI extracts the author name, finds their verified email in our database, and returns it with a confidence score. Works with WordPress, Medium, Ghost, Substack, and most CMS platforms.
Each successful lookup uses one search credit. Failed searches cost nothing. Free accounts get 25 free search credits every 30 days. Need more? Check our pricing page.