Wellfound Email Scraper - Keyword & Location Targeting

Wellfound Email Scraper 🔍

Wellfound Email Scraper helps marketers, recruiters, and sales pros find and extract authentic contact emails from Wellfound without manually hunting profile-by-profile. It streamlines email scraper workflows and supports extract emails from Wellfound using your chosen keywords—so your Wellfound lead generation can scale quickly and stay consistent across larger batches.

---

🌟 Key Features of Wellfound Email Scraper

Feature	Benefit
✅ Targeted Keyword Search	Reach the exact Wellfound audience you need for email harvesting and outreach
✅ Location Filtering	Geo-target contacts by adding a location filter to your Wellfound lead generation runs
✅ Custom Domain Filter	Extract only emails matching the domains you specify (for example @gmail.com or @yahoo.com)
✅ Bulk Export (Dataset)	Store scraped results directly in your Apify dataset for easy CRM integration or analysis
✅ Proxy-Ready Scraping	Built-in proxy support helps keep web scraping reliable for larger runs
✅ Real-Time Saving	Each result is saved incrementally, reducing risk of losing progress on long executions
✅ Max Emails Control	Cap results with maxEmails to manage cost and runtime while building your email list

---

📥 Input — Wellfound Email Scraper Parameters

{
  "keywords": ["manager", "founder"],
  "location": "",
  "customDomains": ["@gmail.com", "@yahoo.com"],
  "maxEmails": 20
}

Parameter	Type	Required	Default	Description
keywords	Array	✅ Yes	—	A list of keywords to search for in order to find relevant Wellfound profiles for email extraction
location	String	No	""	Optional location filter to narrow results to a specific city, region, or country
customDomains	Array	No	["@gmail.com","@yahoo.com"]	Only collect emails that match these domains (helps you build cleaner, more predictable contact lists)
maxEmails	Integer	No	20	Maximum number of emails to collect per run (higher limits can take longer and don’t guarantee you’ll reach the cap)

---

📤 Output — What Wellfound Email Scraper Returns

The actor saves each result as a JSON record in your Apify dataset.

{
  "keyword": "founder",
  "title": "Ava Johnson",
  "description": "Product builder and startup founder. Previously led growth and partnerships. Currently exploring new B2B launches.",
  "url": "https://wellfound.com/profile/ava-johnson",
  "email": "ava.johnson@gmail.com"
}

Field	Type	Description
keyword	String	The search term used to surface this Wellfound result for contact enrichment
title	String	The Wellfound profile name or business title associated with the scraped lead
description	String	Profile bio or summary text captured during scraping (useful for research and segmentation)
url	link	Direct link to the Wellfound profile for quick verification and CRM syncing
email	String	The email address extracted from the profile based on your keyword and domain filters

---

💻 How to Use Wellfound Email Scraper — Step-by-Step

1. Open the Actor — Launch Wellfound Email Scraper in Apify and go to the Input panel.
2. Enter Keywords — Add job titles, roles, or terms you associate with the Wellfound audience you want to reach.
3. Set Location (optional) — If you need region-specific outreach, fill in location.
4. Filter by Domain (optional) — Add domains in customDomains (for example @gmail.com or company domains).
5. Set Max Emails — Use maxEmails to control runtime while building your email list building pipeline.
6. Run the Actor — Start the run and monitor progress in Apify logs.
7. Export Results — Use the Apify dataset tab to export for CRM integration or web scraping analysis.

---

💡 Best Use Cases for Wellfound Email Scraper

• 🎯 B2B Lead Generation — Build a focused Wellfound email list for targeted outreach
• 📣 Email Marketing — Power newsletters and sequences with fresh Wellfound contacts
• 🤝 Recruitment — Identify Wellfound professionals to contact directly
• 🔬 Market Research — Analyze profiles by keyword, role, and region while extracting authentic contact data
• 🧩 CRM Enrichment — Add extracted emails to existing CRM records for better coverage

---

Disclaimer

This actor only accesses publicly available data on Wellfound. It does not scrape private profiles, authenticated content, or password-protected pages. You are responsible for ensuring your use complies with applicable laws and Wellfound’s Terms of Service, including anti-spam requirements and privacy regulations (such as GDPR/CCPA where applicable). For data-removal requests, contact 📧 scrapidocontact@gmail.com.

---

🆘 Support & Feedback

Have a question or need help with the Wellfound Email Scraper? We’re here to support your email harvesting and contact enrichment workflow.

• 🐞 Bug Reports: Share details in the repository’s Issues section
• ✨ Custom Solutions & Feature Requests: Reach out to our team
• 📧 Email: scrapidocontact@gmail.com

Your feedback helps improve the Wellfound email scraper experience for web crawler and email list building use cases.

Multiple Email Types

Email Types replaces the old single Audience Type choice: select as many kinds of mailbox as you want and the run chases all of them together.

Type	What it matches
Personal / free webmail	Gmail, Outlook, Yahoo, iCloud, AOL, Proton, ...
Business / corporate	Company domains - free webmail and institutions excluded
Education (.edu / .ac)	.edu, .ac.uk, .edu.au, .ac.in and other academic suffixes
Government (.gov / .mil)	.gov, .mil, .gov.uk, .gc.ca, ...
Non-profit (.org)	.org, .ngo, .org.uk, ...

Each selected type contributes its own Google dork patterns and its own domain test, so a result is only kept if it genuinely belongs to the type that found it. Every row carries an emailType field recording which one that was.

Suffixes are matched as real domain suffixes, so cs.mit.edu counts as Education while notedu.com does not.

Setting Custom Email Domains still overrides everything: an explicit domain list is a manual override and replaces the type-driven patterns. The legacy audienceType value is still accepted, so saved inputs keep working.