Author Finder — Identify the Real Writer of Any Article

• Visible bylines, hyperlinked author bios, and author archive pages
• schema.org Article markup with structured author fields
• OpenGraph article:author and Twitter twitter:creator tags
• WordPress and Ghost /author/[slug]/ URLs
• Wayback Machine snapshots showing earlier or removed bylines
• Contributor network profiles (Contently, ClearVoice, Skyword)
• Ghostwriting signals — single-byline executives, agency bios, suspicious patterns
• AI-generation signals — fake headshots, no off-platform footprint, generic phrasing

• PR teams pitching journalists — need the right writer, not the desk email
• SEO teams building link relationships with bloggers and reporters
• Sales teams personalizing outreach to thought leaders and industry analysts
• Researchers verifying sources before citing
• Legal teams identifying authors for takedown or defamation review
• Brand teams tracking earned media and reaching the journalist who wrote it

Identifying the author is only half the job. HuntMeLeads completes the loop by matching the name to a verified business email, LinkedIn URL, and current employer — with deliverability score so you know the email won't bounce.

Upload a list of article URLs and get a CSV back with author, role, employer, email, LinkedIn, and confidence score for each. Useful for PR teams building outreach lists from coverage searches, or SEO teams mapping link prospects from a Semrush export.

The finder flags content with no human author footprint: a byline that exists only on this site, a headshot that returns nothing on reverse-image search, an "expert reviewer" with no LinkedIn, and a publishing cadence inconsistent with a real human. Useful for editorial trust and content audit work.

All matches use publicly available and licensed data. Authors can opt out at any time through our self-serve form; suppression is automatic across every HuntMeLeads customer instantly.

Manual: open page source, search for author meta, copy username, check /author/ slug, Wayback, LinkedIn-search the byline, verify the match, find the email — about 10 minutes per article. With the finder: paste URL, get the answer in five seconds. The accuracy is the same; the time saved compounds across every campaign.