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Lead Generation Data Tools — Contact Extraction, B2B Prospecting & CRM Enrichment

Welcome to the NexGenData lead-generation hub. This is the working library of pay-per-result scrapers, enrichment APIs and prospecting tools we use to build B2B contact lists, fill out CRMs, and run cold outbound campaigns without paying Apollo, ZoomInfo or Clearbit subscription fees.

Inside this category you’ll find tools that cover the full prospect-to-pipeline workflow: contact extraction (emails, phones, social handles from any domain), company enrichment (firmographics, funding, tech stack, news signals), email validation (SMTP-level verification to keep bounce rates under 2%), business directories (Google Maps, Yelp, Capterra, Apartments.com), and niche prospect lists for verticals like Shopify merchants, physicians, property managers and SaaS displacement targets.

Who actually uses this stuff? B2B sales reps and SDR teams building outbound lists, demand-gen and growth marketers running ABM plays, agency owners prospecting SMBs that need their service, recruiters sourcing hiring-signal accounts, and founders bootstrapping a Series A go-to-market without a six-figure data budget. If you’ve ever paid $15K/year for a seat-based prospecting tool, the actors below run on usage-based pricing — most cost a few dollars per thousand rows, run on demand, and never require a sales call to provision.

The category is organized around five jobs that any modern outbound team has to solve: discover the right accounts, enrich them with firmographics, extract named contacts, validate deliverability, and activate the list inside your sequencing tool. Each tool below maps cleanly to one of those steps. Mix and match them into a pipeline that fits your motion — local SMB agency, mid-market SaaS, niche vertical, ABM enterprise — without locking yourself into a single vendor’s worldview.

Common use cases

Build a SaaS prospect list with verified emails — Capterra displacement leads piped into a contact-finder, then validated through a bulk email checker. End-to-end pipeline runs in under an hour.
Source Shopify merchants for an app launch — find every store running a competitor app, scrape the store contact page, and reach out before they renew their annual plan.
Find SMBs in a specific city + vertical — Google Maps and Yelp scrapers pull restaurants, dentists, gyms and contractors with phone and website attached, ready for an agency cold-call sprint.
Enrich an existing CRM export with website, social and tech-stack data — upload your domain list, get back firmographics, headcount bands and decision-maker LinkedIn URLs in minutes.
Identify competitive displacement opportunities from Capterra reviews — surface every 1- and 2-star reviewer of your competitor and turn their complaint into your cold-email hook.
Surface hiring-signal intent — companies posting LinkedIn jobs for a role you sell into (e.g. “Head of RevOps”) are buying signals you can act on this week, weeks before they hit any commercial intent database.
Build vertical lead lists for healthcare, real estate and influencer marketing — doctor directories, apartment-complex managers, brand-collab outreach pulled from the relevant public source of truth.
Run cold-email campaigns with deliverability discipline — validate every address with SMTP-level checks before it hits your sending domain. Saves your sender reputation and your unit economics.

Featured tools

Every tool below is a public Apify actor that runs on pay-per-result or per-event pricing — no monthly seat fees, no platform compute markup, no commitment. Run one company through it for a few cents, run a million for a few hundred dollars. Click through any tool to see its full input schema, sample output, and the README.

Tool	What it does	Pricing
Lead List Enricher	Enrich a CSV of company domains with emails, phones, LinkedIn URLs and social handles in one pass.	$5 / 1K rows
Contact Email Finder	Discover and verify role-based and named B2B emails for a target domain — sales@, founders, decision-makers.	Per-result
Website Contact Extractor	Crawl any website and pull every email and phone number found across the public surface.	Per-page
Website Contact Scraper (Email, Phone, Social)	Email, phone and social-handle extraction at site-wide scale — great for agency prospect lists.	Per-page
Company Data Aggregator	Build a Crunchbase-style company profile from public sources: industry, size, funding signals, tech.	$4 / 1K companies
US B2B Leads Scraper (Google Maps)	Pull SMB lead lists by city + vertical straight from Google Maps with phone, website and category.	Per-result
Yelp Business Analyzer	Surface local SMB leads with reviews, hours and tech-stack signals — ideal for agency outbound.	$3 / 1K
Apartments.com Scraper (with Agents)	Property-manager and leasing-agent lead lists from Apartments.com listings.	$1 / 1K
LinkedIn Jobs Scraper	Hiring-signal intent data: companies actively hiring for a role become warm outbound targets.	Per-result
Capterra Displacement Leads	Find users actively reviewing — and complaining about — competitor SaaS on Capterra.	Per-result
Doctor Directory Lead Finder	Specialty + geo-targeted physician lists for medtech, pharma and healthcare-SaaS outbound.	Per-result
Shopify App Merchant Finder	Identify Shopify stores running a specific competitor app — perfect for app-launch campaigns.	Per-result
Bulk Email Validator	SMTP-level email verification at thousands of rows per run to keep bounce rates under 2%.	Per-email
AI Lead Enricher	LLM-powered company intelligence — pulls firmographics, news signals and pain points from public web.	Per-company
NPI Healthcare Provider Leads	Every US healthcare provider from the official NPI registry — NPI number, taxonomy/specialty, practice address and phone for medtech, pharma and healthcare-SaaS outbound.	Per-result
SBA Loan Recipients Leads	Businesses that just received SBA 7(a)/504 loans — funded, growing companies with capital to spend, including name, location and loan amount.	Per-result
FMCSA Carrier Leads	US trucking and motor carriers from FMCSA — DOT/MC number, fleet size, contact and operating authority for logistics, insurance and fuel-card outbound.	Per-result
Contractor License Leads	Licensed US contractors by trade and state — license status, classification and contact details for B2B and SaaS targeting the trades.	Per-result
Building Permits Leads	New construction and renovation projects from public building-permit records — project type, value, address and owner/contractor for construction-adjacent outbound.	Per-result
US Auto Dealer & Repair Shop Leads	Franchise and independent auto dealers plus repair shops across the US — name, location and contact for automotive, parts, insurance and SaaS outbound.	Per-result
Restaurant & Food Business Leads	Restaurants and food-service businesses by cuisine and geo — location and contact data for POS, delivery, supplier and SaaS outbound.	Per-result
Childcare License Leads	Licensed daycare and childcare providers by state — license status, capacity and contact for B2B, insurance and SaaS targeting.	Per-result
Liquor License Leads	New and existing liquor-license holders — bars, restaurants and retailers by state, with license status and contact for beverage, POS and compliance outbound.	Per-result
FDIC-Insured Bank Leads	US FDIC-insured banks and branches — institution name, branch location and contact data for fintech, vendor and B2B outbound.	Per-result
ATS Job Aggregator — Greenhouse, Lever, Ashby, Workday	Pull open jobs from company ATS platforms — Greenhouse, Lever, Ashby and Workday boards — as clean, structured rows across all four sources in one run.	~$0.005 / job
Tech Hiring Signals — Open Jobs Across Companies (ATS)	Company-level hiring activity aggregated from public ATS boards — which companies are hiring and for which teams, as structured records.	~$0.04 / job-record

📦 Prefer it delivered? Skip the setup — get curated, on-schedule lead datasets through our Data Packs, or tell us exactly who you need to reach and we’ll build a custom extraction for you.

A note on selection: we’ve leaned heavily on actors that are battle-tested, actively maintained and priced in the cents-to-dollars-per-thousand-rows range. There are 800+ business-data actors on Apify; the ones above are the ones we actually deploy on real campaigns. If you have a niche the table doesn’t cover — e.g. solar installers, Y Combinator founders, German Mittelstand suppliers — search the Apify Store; there’s almost certainly a public actor for it.

Workflow example: building a 2,000-lead SaaS prospect list

Here’s a real, end-to-end pipeline you can run today for under $50 in actor spend. The use case: you sell a project-management SaaS and want to displace Asana and Monday.com users who are unhappy with their current tool.

Source the displacement signal. Run Capterra Displacement Leads against your competitors. You get ~2,000 reviewer names plus company affiliations of users currently leaving 1- to 3-star reviews — the highest-intent prospects on the public web because they’ve literally typed “I’m unhappy with this product” into a public review form.
Enrich the company list. Pipe the company names through Company Data Aggregator to get domains, industries, headcount bands and funding signals. Drop anyone outside your ICP (e.g. under 25 employees if you sell to mid-market) and keep the firmographics for personalization later.
Crawl for contacts. Feed the qualified domains into Website Contact Extractor or Contact Email Finder to pull every public email and phone, including the named ones (founder, head of ops, CTO). Most domains will yield 2–5 contacts; some yield 20+.
Validate every address. Run the resulting list through Bulk Email Validator. SMTP-level checks drop invalid, role-based, catch-all and disposable addresses. Expected good rate: 70–85%. The 15–30% you discard is the difference between a 1% and a 12% bounce rate.
Export and send. Push the cleaned CSV into Outreach.io, Smartlead, HubSpot Sequences or Salesloft. Personalize the first line with the specific Capterra complaint pulled from step one (“Saw your review of Asana mentioning notification overload — we built our entire model around fixing that”) and you’ve got a campaign that reads like manual research at automation scale.

Total budget for a 2,000-lead campaign at the actor pricing above: typically $20–$50 end to end. The same list from Apollo + ZoomInfo seats costs ~$2,000/month minimum; from a B2B data broker, $0.50–$2.00 per record. The unit economics matter most when you scale — a 50,000-lead quarter that costs $1,000 in actor spend instead of $25,000 in vendor fees changes what’s profitable for outbound to even attempt.

The same five-step skeleton works for almost any outbound motion. Swap the source signal in step 1 (Yelp + city for local SMB; LinkedIn Jobs + role for hiring-signal; Shopify App Merchant Finder + competitor app for e-commerce; Apartments.com for proptech) and the rest of the pipeline stays identical.

Related categories

Lead generation rarely lives alone. Most outbound motions also pull from these other NexGenData categories — funding signals from regulatory data, competitor pricing from market intelligence, decision-maker tenure from public registries:

Frequently asked questions

How is this different from Apollo or ZoomInfo?

Apollo and ZoomInfo are seat-based databases — you pay $10K–$50K/year for access to a frozen index they refresh on their schedule, with steep per-export caps and contract lock-in. The actors above are live web scrapers with pay-per-result pricing. You get fresher data (scraped the moment you run the actor instead of pulled from a database that was last enriched six months ago), no minimum commitment, and your costs scale with actual usage instead of seat count. The trade-off: you assemble the pipeline yourself instead of getting a single dashboard. Most teams find that’s a fair trade once they realize how often Apollo’s data is stale and how rarely they actually use 80% of the seats they’re paying for.

Are the emails verified?

Contact-finder actors return emails as they appear on the public web, which means some will be role-based, stale or catch-all. That’s why every workflow above ends with Bulk Email Validator — SMTP-level verification typically drops 15–30% of raw scrapes. A well-built pipeline lands in the 1–3% hard-bounce range, which is what mailbox providers expect for legitimate outbound. Skip the validation step and you’ll burn your sending domain in a week.

Can I run this at SDR-team scale?

Yes. Apify actors run concurrently in the cloud, so a 10-person SDR team building 200-lead lists each per week is well within the platform’s scale envelope. Most actors handle 10K–100K rows per run comfortably; for million-row jobs you split into batches and run them in parallel across multiple actor runs. There are no per-seat fees on the data side — pricing is purely usage-based, so adding a new SDR adds zero fixed cost. Your actual bottleneck becomes the sequencer (Outreach/Salesloft seat count), not the data layer.

What’s the per-lead cost?

Highly workflow-dependent. A simple Google Maps + email-finder + validation pipeline lands around $0.01–$0.05 per qualified lead. Deeper enrichment (firmographics + tech stack + intent signals + verified named contact) runs $0.10–$0.30 per lead. Both numbers are 10–100× cheaper than buying records from a B2B data broker. For a typical 2,000-lead outbound campaign, you’ll spend $20–$200 in actor fees vs. $1,000–$4,000 from a broker.

Is this GDPR compliant?

Scraping publicly available B2B contact data is generally permitted under GDPR’s legitimate-interest basis, but compliance is about how you use the data, not just how you collect it. You’re responsible for honoring opt-outs, providing a clear lawful basis in outreach, suppressing EU contacts who request deletion, and following CAN-SPAM / CASL / PECR for the destination jurisdiction. None of these actors emit personal data they didn’t find on the public web, but the compliance burden of using B2B contact data downstream is on you, not on the scraper vendor. If you’re operating in regulated industries or at enterprise scale, build a suppression list and a clear opt-out path before you ramp volume.

Can I pipe results into HubSpot or Salesforce?

Yes. Every actor outputs JSON and CSV, and Apify integrates with Zapier, n8n, Make and direct webhooks. The standard pattern is: actor finishes → webhook fires → Zap pushes new contacts into HubSpot/Salesforce/Pipedrive with custom field mapping. For high-volume teams, you skip Zapier and post directly to the CRM API — Apify also exposes a REST API for the dataset, so a nightly cron job that pulls the latest run and upserts into your CRM is a 30-minute script. The Apify Store also has dedicated CRM-sync actors if you’d rather not write the integration yourself.

Ready to build your first list?

Pick one actor from the table above that matches your highest-intent prospect signal — Capterra displacement for SaaS, Google Maps for SMB local, Shopify Merchant Finder for e-commerce app launches, Apartments.com for proptech, LinkedIn Jobs for hiring-signal outbound — and run it for ten dollars. You’ll have a working sample list in under an hour. From there, layer in contact discovery and email validation and you’re shipping campaigns by end of week.

New to Apify? Every actor linked here runs from a single dashboard with a generous free tier — no credit card needed to test the pipeline. Create a free Apify account, paste a target list, and have your first verified prospect file before lunch. The whole point of usage-based pricing is that you can prove the workflow on a $5 test run before you scale it to a $500 production run.

Use with n8n

Prefer to automate this in n8n? These tools are available as open-source n8n community nodes — install n8n-nodes-nexgendata and import the B2B lead pipeline template. See Use NexGenData with n8n or get the package on GitHub.

Latest additions

Financial Adviser Directory — BrokerCheck & IAPD Records API — launch post
Phone Number Validation API — Format, Carrier & Line Type — launch post
Person Enrichment API — Name & Company to Public Profile — launch post
Leads → Notion CRM (Apify MCP Connector) — turn company domains into a working Notion CRM
Hiring Signals → Notion — Who's Hiring & Which Teams Grow — turn live job boards into a hiring-signal scorecard
Real Estate Agent Lead-Gen — Phones & Verified Emails — build MX-verified realtor contact lists by city & ZIP
YouTube Creator Contact Finder
TikTok Creator Email Finder
B2B Contact Enricher — Verified Emails, Roles & Firmographics
Person Business Email Finder — Name + Company → Verified Email
Google Maps Extractor — Business Leads & Emails (No API Key)
Company Job Board (ATS) Scraper — pull open jobs from Greenhouse, Lever & Ashby boards
Website Tech & Contact Audit
Workday Jobs Scraper — Enterprise Careers, No Login — pull any company’s Workday roles as clean rows
B2B Lead List Cleaner — Dedupe, Normalize & MX-Verify — cut bounce rates before you import or send

In-depth buyer guides

Email Verification API — Bulk Deliverability & SMTP Checks — run the actor in minutes with sample input/output.
B2B Lead List Cleaner — Dedupe, Normalize & Validate — run the actor in minutes with sample input/output.

Compare your options

Sample data & downloads

Email Verification — Sample Output (JSON)

Recently added — lead hygiene & local sourcing

B2B Lead List Cleaner — dedupe, validate, and standardize raw B2B lead lists.
Local Business Tech-Contact Audit — find local businesses plus their tech stack and contact data.

Use these in Clay

Clay-compatible workflows using these actors (run them inside Clay via Clay’s native Apify integration):

Schedule these with Make

Run these actors on a schedule and route results into Sheets/Slack/email via Make’s official Apify integration:

Automate these with Zapier

Run these actors on a schedule and route results into Sheets/Slack/Airtable/HubSpot via Zapier’s official Apify integration:

Automate these with n8n

Run these actors on a schedule and route results into Sheets/Slack via n8n and Apify’s verified node:

Featured tool pages

Dedicated pages for our most-used lead-gen actors:

Lead Generation Data Tools — Contact Extraction & B2B Prospecting