The best Apify Actors for B2B lead generation are Maps, LinkedIn, and email tools
The three best Apify Actors for B2B lead generation in 2026 are: Leads Finder by code_crafter (from $1.50/1k leads, 4.0 stars, 36K users, Apollo/ZoomInfo alternative), Google Maps Scraper by Compass (from $2.10/1k places, 4.8 stars, over 420K users, local SMB discovery), and HarvestAPI LinkedIn Profile Scraper + Email ($4/1k profiles, $10/1k with email, 4.9 stars, no cookies required).
Pick one discovery Actor (where leads live), one enrichment Actor (inbox, phone, LinkedIn), and one verification step (SMTP/MX or a second source). Figures below were re-checked May 2026 against each Actor's live Apify Store page; open each Actor's Pricing tab before scaling because publishers change tiers often.
Find more Actors: Lead generation: Apify Store search
Pipeline stack at a glance
| Stage | Actor | Best for | Pricing (May 2026, from Store) | Dedupe key |
|---|---|---|---|---|
| Discovery: local | Google Maps Scraper | SMB, home services, medical, retail, venues | From $2.10/1k places (4.8 stars, 420K+ users) | placeId (fallback: normalized website domain) |
| Discovery: B2B contacts | Leads Finder, Apollo alt. | ICP slices by title/industry/size when you don't want an Apollo seat | $1.50/1k leads (4.0 stars, 36K users) | linkedinUrl (fallback: email) |
| Discovery: account expansion | LinkedIn Company Employees | All employees at target accounts, filter by title/seniority | From $1.50/1k basic ($4 short / $8 full / $12 + email; 4.7 stars) | linkedinUrl |
| Discovery: hiring signals | LinkedIn Jobs Scraper | Trigger-based outbound (new role, stack, funding-adjacent hires) | $1.00/1k results (4.4 stars, 84K users) | jobUrl + companyUrl |
| Enrichment: domain → inbox | Contact Details Scraper | Crawl a CSV of domains from Maps/SERP, pull role emails + socials | From $1.05/1k pages (4.0 stars, 50K users) | Domain (apex) |
| Enrichment: profile → inbox | HarvestAPI Profile Scraper + Email | Convert LinkedIn URLs to structured JSON + work email | $4/1k detailed or $10/1k + email (4.9 stars) | linkedinUrl |
| Enrichment: bulk LinkedIn | Dev Fusion Mass LinkedIn | Larger batches, no cookies | $10/1k results (3.6 stars, 59K users) | linkedinUrl |
| Verification | Email finders / verifiers | MX + SMTP check before you send | Pay-per-check | Lowercased email |
Discovery: Google Maps for local B2B
Compass's Google Maps Scraper is the default I reach for: over 420K total users and 4.75 stars across 1,300+ reviews (verified on the Store listing, May 2026). The current build surfaces email, full name, and job title from the listing itself when Google exposes them, plus Facebook, Instagram, YouTube, TikTok and Twitter handles. Good when your ICP is defined by geography + category ("plumbers in Miami", "Series A SaaS offices in Berlin") and you want a phone, website, category, and reviews snapshot you can score. Pricing starts at $2.10/1,000 scraped places, which makes it the cheapest Maps-grade discovery layer on the Store.
- Dedupe on
placeId, not business name. Chains will collapse otherwise. - Role email quality is mostly
info@/contact@. Treat Maps as domain discovery; chainvdrmota/contact-info-scraperagainst the website column to pull named role emails. - CRM fit: upsert as Account first (domain), attach place + phone as custom fields, then create Contacts from the enrichment step.
- Tutorial: Scrape Google Maps. For a deeper Maps-only comparison, see Best Google Maps scrapers.
Discovery: LinkedIn (account, people, hiring signals)
LinkedIn is three different lookups, not one:
- Account expansion: feed a list of company URLs to HarvestAPI's LinkedIn Company Employees (4.7 stars, 11K users), filter by title/seniority, and you get a named contact sheet per account. Three tiers on the live Store listing (May 2026): $4/1k short, $8/1k full work history, $12/1k + email search. No cookies required, which matters if you're scheduling weekly runs.
- Individual profiles → work email: if you already have LinkedIn URLs (from sales nav exports, webinar signups, event lists), HarvestAPI Profile Scraper + Email (4.9 stars, 31K users, May 2026) is the higher-signal enrichment path at $4/1k detailed profiles or $10/1k with SMTP-validated email search. Dev Fusion's Mass LinkedIn ($10/1k, 3.6 stars, 59K users) is the bulkier sibling when you need volume. For the full LinkedIn-only breakdown, see Best LinkedIn scrapers.
- Hiring-signal timing: Curious Coder's LinkedIn Jobs Scraper (4.4 stars, 84K users, $1.00/1k results) is the cleanest for job-trigger outbound: pipe new postings into a rule ("hired a Head of RevOps in last 14 days → sequence"). The Actor supports splitting search URLs by location to break LinkedIn's 1,000-jobs-per-search ceiling.
Field-quality note: LinkedIn emails returned by these Actors are mostly personal (gmail/outlook) unless the profile lists a work address. If you need the @company.com route, enrich the domain with vdrmota/contact-info-scraper or a verifier with common-pattern guessing. Respect LinkedIn's terms and your jurisdiction's privacy rules; don't process fields you don't have a lawful basis for. See Is Apify legal? for the broader compliance frame.
Discovery + enrichment: Apollo alternative on the Store
Leads Finder (code_crafter, 36K users, 4.0 stars as of May 2026) is the cheapest production-grade Apollo-style Actor I've run, at $1.50 per 1,000 leads with business email, mobile (paid Apify plans), personal email, LinkedIn URL, and company fields in one payload. Filters cover seniority, function, industry, headcount, location and funding stage, with up to 50,000 leads per run on paid plans (100-lead cap on the Apify free plan). It's the right call when you don't want an Apollo seat but do want a title+industry+size filter. Dedupe on linkedinUrl before writing to the CRM; email fallbacks collide more often than you'd expect.
For Apollo-exports workflows (you already pay for Apollo and just want the filters out), see Scrape Apollo.io. For the strategic playbook around when scraping outperforms a seat-based tool, read Lead generation with web scraping.
Enrichment: domain → named inboxes
When you have a website column and want a person, Contact Details Scraper is the workhorse: 50K users, 4.0 stars, from $1.05/1,000 scraped pages on the live Store page (May 2026). Feed it a deduped domain list from Maps, SERP, or a trade-show export; it returns emails, phones, Twitter/LinkedIn/Facebook/Instagram/YouTube/TikTok handles parsed from the site. Expect mostly role emails (sales@, hello@) plus whatever the About/Team page exposes. Deliverability on role emails is platform-dependent, so verify before a cold sequence, or route them to a warmer channel (form, LinkedIn message). Pair it with the lead generation use-case workflow for an end-to-end recipe.
Verification (don't skip)
Cold-email infra punishes you for bounces long before it punishes you for copy. After enrichment, run every address through an MX + SMTP check. Browse email verifier Actors on the Store and pick one with recent reviews. Drop invalid, quarantine catch-all to a separate sequence with tighter volume caps, and send only to valid.
Reference workflow I run weekly
- Discovery: Compass Maps Actor for geo+category (or HarvestAPI Company Employees for named accounts). Export dataset.
- Dedupe: key on
placeIdorlinkedinUrl; reject rows without a website/LinkedIn URL. - Enrichment:
vdrmota/contact-info-scraperon the domain column, or HarvestAPI Profile Scraper on the LinkedIn column. - Verification: email verifier Actor; split into valid / catch-all / invalid.
- CRM: Apify webhook on run finish → Make/n8n/Zapier → HubSpot or Salesforce upsert, with Account keyed on apex domain and Contact keyed on verified email.
- Schedule the whole chain on Apify weekly.
Compliance (short and practical)
Collect public business data and document your purpose. For EU/UK contacts, align with GDPR (lawful basis, retention, opt-out, DPIA if volumes are material). For US cold email, follow CAN-SPAM; for EU B2B, track ePrivacy and national prospecting rules (France/Germany are stricter than UK/Ireland). If a platform's terms forbid scraping, don't use an Actor to bypass that contract. Pick another source.
Open the lead generation Store search, pick an Actor with reviews in the last 90 days, and run a 10-row test before scaling. New accounts can start on the Apify free plan with monthly credits. See Apify pricing for the full tier breakdown.
One discovery Actor, one enrichment Actor, one verifier. For local SMB: Compass Google Maps Scraper ($2.10/1k places, 4.8 stars) → vdrmota Contact Details Scraper ($1.05/1k pages) → an email verifier. For B2B by title/industry: code_crafter Leads Finder ($1.50/1k leads, Apollo alternative) or HarvestAPI's LinkedIn Company Employees ($4–$12/1k depending on depth). For timing outreach to hiring accounts: Curious Coder's LinkedIn Jobs Scraper ($1.00/1k results, 4.4 stars). All prices verified on the live Apify Store in May 2026.
Each Actor publishes a Pricing tab (often pay-per-result or pay-per-event). Multiply by expected rows, add Apify platform usage. As of May 2026, the cheapest discovery layer is Leads Finder at $1.50/1k; the cheapest enrichment is vdrmota Contact Details Scraper at $1.05/1k pages. Run a small test batch first and extrapolate; see Apify pricing on this site for the platform-level cost model.
Yes. Export CSV, use the Apify API, or connect Make.com, n8n, or Zapier. Webhooks on finished runs let you enqueue CRM upserts without polling.
Maps exposes email inconsistently and usually only role addresses (info@, contact@). Take the website column from your Maps export and run vdrmota/contact-info-scraper or a domain-based email finder, then verify MX+SMTP before sending.
Public business information is often lawful to collect, but you must comply with data protection laws and marketing rules. Scraping behind logins or against clear contractual bans is higher risk; get legal review for regulated industries.
Apify is strongest at fetching fresh web and directory data at scale. Clay shines at multi-vendor enrichment and CRM sync. Many teams scrape in Apify, then enrich or route in Clay; see Apify vs Clay on this site.
Common mistakes and fixes
Actor returns empty rows or stops early.
Tighten one test query first; check run log and input limits. For logged-in sources, confirm the Actor supports your account mode and respects site rules.
Cost spikes on large searches.
Lower max items per query, dedupe URLs before enrichment, and read the Actor Pricing tab (per result / event) before scaling.
Emails are missing or role-only after Maps scrape.
Google Maps exposes email inconsistently. Chain vdrmota/contact-info-scraper on the website column to pull named role addresses, then run a verifier before sending.



