Reference file

list-building-data-sources.md

list-building-data-sources-md.md

62 Data Sources for Better Outbound Lists

Underused and alternative data sources organized by category. Many accessible via Apify scrapers.


Review & Feedback Sites

Source What You Get Sales Signal Why Underused
G2 Reviewer titles, companies, ratings, comparisons Tool dissatisfaction, switching intent Reviews reveal pain points and timing
Capterra Reviewer details, pros/cons, company size Mid-market software evaluators Lower profile than G2, equally valuable
Trustpilot Company ratings, sentiment, reviewer info CX quality, brand health B2C focus means B2B teams skip it
Gartner Peer Insights Enterprise reviewer titles, vendor comparisons Enterprise buying intent Perceived as "too enterprise"
Glassdoor Employee reviews, salary data, company ratings Culture, growth trajectory, hiring budget Used for recruiting, not sales
Yelp Business owner info, local data, reviews Local/SMB market intelligence Seen as "consumer" not B2B

Startup & Founder Discovery

Source What You Get Sales Signal Why Underused
Product Hunt Maker emails, launches, upvotes, categories Early-stage founders, PMF timing Most only use for competitive intel
Y Combinator Directory Profiles, founders, batch, funding, team size Venture-backed with budget Requires manual browsing without scraper
Wellfound (AngelList) Profiles, team, funding, job listings Funded startups actively hiring API limited; scraping unlocks more
BetaList New startups, maker profiles, descriptions Pre-launch and early-stage founders 21K+ startups, barely touched
Crunchbase Funding, acquisitions, exec changes, tech stack Growth signals, leadership transitions API expensive; scrapers are cheap
Hacker News "Show HN" launches, job posts, discussions Developer/founder sentiment Real-time signals lost in noise

Events & Communities

Source What You Get Sales Signal Why Underused
Meetup Events, organizers, RSVPs, group members Self-identified interest in topics Event data rarely used for outbound
Eventbrite Events, organizer profiles, ticket pricing Professional event attendance intent B2B teams don't think "events"
Lu.ma Tech events, attendee counts, organizer info High-intent tech community Newer platform, undiscovered
LinkedIn Events Attendees, company affiliations Professional interest signals Hard to access without scraping
Reddit Discussions, complaints, tool mentions Unfiltered buyer frustrations Perceived as "consumer" only
Hacker News Tech discussions, job posts, launches Developer/founder sentiment Too noisy without filtering

Job Boards & Hiring Signals

Source What You Get Sales Signal Why Underused
Greenhouse Job posts, company info, tech in descriptions Hiring = budget = growth Requires scraping each ATS
Lever Job titles, requirements, company details Department-level expansion Fragmented across platforms
Workable Job listings, company profiles, salaries SMB/mid-market hiring Less known than big boards
Ashby Job posts, company info Modern startups using modern ATS Newer ATS, fewer scrapers
Indeed Job posts at scale, salary estimates Mass hiring signals High volume, needs filtering
Work at a Startup (YC) YC company jobs, team size, stage Venture-backed hiring intent YC-specific, highly targeted

Tech Stack & Technographics

Source What You Get Sales Signal Why Underused
BuiltWith Full tech stack, CMS, analytics, payments Technology adoption patterns Expensive API; scrapers bypass cost
Wappalyzer Frontend/backend frameworks, CDN, hosting Tool switching opportunities Requires bulk lookups
6sense Tech Data Technology market insights, install base Competitive intelligence Enterprise-focused, overlooked
Stackshare Company tech stacks, comparisons Developer tooling decisions Niche, highly specific
DNS/WHOIS Data Domain age, registrar, mail provider Legitimacy, tech maturity Technical, underutilized

Marketplaces & E-Commerce

Source What You Get Sales Signal Why Underused
Shopify Stores Products, pricing, store metadata E-commerce brand intelligence Most focus on Amazon only
Amazon Products, reviews, seller info, pricing Market validation, competitor analysis Heavily used, specific cases missed
Etsy Seller profiles, product data, reviews Creative/SMB market B2B teams ignore handmade market
AppSumo SaaS launches, pricing, founder info Early-stage SaaS buyers/builders Niche lifetime deal market

Freelancer & Services Platforms

Source What You Get Sales Signal Why Underused
Fiverr Gigs, seller profiles, pricing, reviews Freelancer market trends Seen as "gig economy" not B2B
Upwork Job posts, client budgets, freelancer profiles Project-based demand signals Underused for B2B lead gen
Clutch.co Agency profiles, client lists, portfolios Agency ecosystem, client discovery Gold mine for partnerships
Freelancer.com Job listings, project budgets, client info Outsourcing demand Less polished, still valuable
PeoplePerHour Project listings, client profiles UK/EU freelance market Regional but rich data

Content & Creator Platforms

Source What You Get Sales Signal Why Underused
YouTube Channels Creator emails, subscriber counts, video stats Influencer/creator partnerships Business emails often in "About"
Substack Newsletter creators, subscriber counts, themes Creator economy leads Market booming, data untapped
Apple Podcasts Podcast hosts, episode data, genres Guest/sponsor opportunities Scraping unlocks discovery at scale
Spotify Podcasts Podcast metadata, creator info Audio content creators Similar to Apple, different catalog
Medium Publication authors, engagement metrics Thought leadership identification Easy to get, rarely used for outbound

Developer & Open Source

Source What You Get Sales Signal Why Underused
GitHub Stargazers User profiles, company, email, social links Technical evaluators, OSS enthusiasts Developers influence buying decisions
GitHub Repo Data Stars, forks, contributors, issues Tool adoption, community health Competitive intel for dev tools
Stack Overflow Question authors, tags, company mentions Technical pain points Problem-focused, not used for outreach
Dev.to Developer authors, article engagement Developer community trends Growing platform, underutilized

Business Directories & Lists

Source What You Get Sales Signal Why Underused
Google Maps Business listings, reviews, contact info Local business intelligence Massive scale, often too broad
Yelp Business SMB profiles, owner info, reviews Local/SMB market Consumer-perceived, B2B uses exist
Yellow Pages / Local Directories Business categories, contact info Traditional businesses "Old school" but data-rich
Industry Association Directories Member companies, leadership Vertical-specific targeting Scattered, requires manual ID

Funding & Investment

Source What You Get Sales Signal Why Underused
Crunchbase Funding Rounds, investors, amounts, dates Budget availability, growth stage API costs limit access
AngelList/Wellfound Valuations, investor connections Investment ecosystem Fragmented with job data
SEC Filings Public company financials, acquisitions Enterprise intelligence Technical to parse
PitchBook (indirect) Funding via news/press releases PE/VC activity Requires creative sourcing

News & Press

Source What You Get Sales Signal Why Underused
TechCrunch Company mentions, funding news, launches Tech industry timing News = trigger events
PR Newswire / Business Wire Press releases, exec quotes Corporate announcements Real-time triggers overlooked
Industry Blogs Company mentions, thought leadership Competitive intelligence Requires domain-specific targeting
Company Newsrooms Direct PR, executive announcements First-party company signals Scattered across websites

Location & Real Estate

Source What You Get Sales Signal Why Underused
Google Maps Office locations, reviews, popular times Physical presence, expansion Underutilized for B2B
Commercial Real Estate Listings Office expansions, relocations Growth/contraction signals Niche but powerful
Coworking Space Directories Startup locations, company profiles Early-stage discovery Startups cluster in specific spaces

Built by Frontal & Ivan Falco. For questions on implementation or anything not covered here, reach out to Ivan directly on LinkedIn.