Best B2B Lead Generation Scrapers on Apify (2026)
Outbound sales lives or dies on clean, structured lead lists. Manual research does not scale; running scrapers from a single IP often hits WAFs (Cloudflare, DataDome, and similar) before you get volume.
The Lead Generation category on Apify is a set of hosted Actors aimed at pulling contacts, profiles, and company signals from directories and social surfaces—without you hosting browsers and proxy pools yourself.
Need LinkedIn-style profiles without handing over your session cookies, or Maps-based local B2B lists? The Apify Store is the obvious place to browse and compare publishers.
Architectural Extraction Nodes
1. Google Maps Scraper — 297K users · 4.7 ⭐ · $2.10/1,000 places
Strong default for local businesses: names, addresses, coordinates, websites, hours, and reviews. Grid-style geographic search is a common way to avoid “one search, truncated results” when you need full coverage of an area. Deploy Google Maps Scraper on Apify →
2. ✨Mass Linkedin Profile Scraper with Email 📧 (No Cookies) — 41K users · 4.8 ⭐ · $10/1,000 profiles
Runs without your LinkedIn cookies—useful if you do not want account risk tied to your own session. Typical outputs include work history, headline-style fields, and email when the Actor’s data path exposes it. Always validate deliverability and stay inside consent and platform rules for your use case. Deploy Mass Linkedin Profile Scraper on Apify →
3. ✨Leads Finder - [Apollo Alternative] — 21K users · 3.9 ⭐ · $1.50/1,000 leads
Aggregates B2B-style leads from public-ish sources: emails, phone numbers where available, org context, and LinkedIn URLs. Handy when you want list building without a separate SaaS seat—compare output quality to your current vendor before you rely on it in production. Deploy Leads Finder on Apify →
4. Profile Details Scraper for LinkedIn + EMAIL (No Cookies) — 12K users · 4.5 ⭐ · $8/1,000 profiles
Focused on richer profile payloads (still cookie-free on your side). Good when you need more fields per person and can accept the tradeoffs of third-party-sourced contact data. Deploy Profile Details Scraper for LinkedIn on Apify →
5. Instagram Profile Scraper — 93K users · 4.5 ⭐ · $1.60/1,000 profiles
Useful for creator and brand outreach: follower counts, bios, external links, and verification flags in a structured record you can feed CRMs or spreadsheets. Deploy Instagram Profile Scraper on Apify →
6. 🏯 Tweet Scraper V2 - X / Twitter Scraper — 40K users · 4.3 ⭐ · $0.40/1,000 tweets
Pulls tweets, threads, and engagement-style fields outside the official X API pricing model—reasonable for research, social listening, or feeding downstream enrichment. Respect X’s terms and your own compliance bar. Deploy Tweet Scraper V2 on Apify →
7. Twitter (X.com) Scraper Unlimited: No Limits — 25K users · 4.3 ⭐ · $0.50/1,000 results
Tuned for high volume X scraping (profiles, searches, etc.). “Unlimited” here refers to the Actor’s positioning—not a guarantee you will never see blocks; you still burn compute and proxy capacity. Deploy Twitter (X.com) Scraper Unlimited on Apify →
8. Tweet Scraper|$0.25/1K Tweets | Pay-Per Result | No Rate Limits — 20K users · 4.4 ⭐ · $0.25/1,000 tweets
Low per-tweet pricing for large hashtag or keyword pulls. Same caveat: platform friction still happens; this is about Actor economics, not magic immunity to 429s. Deploy Tweet Scraper (Pay-Per Result) on Apify →
9. Profile Posts Scraper for LinkedIn [No Cookies] — 10K users · 4.4 ⭐ · $5/1,000 posts
Tracks what a profile is posting publicly—useful for timing outreach, spotting hiring signals, or summarizing themes before you write a note. Deploy Profile Posts Scraper for LinkedIn on Apify →
Automated Pipeline Advantages
Scraped leads only matter once they land where your team works. Apify datasets + webhooks fit that: when a run finishes, you can push rows into Make, n8n, Zapier, or straight to an HTTP endpoint in front of your CRM.
Apify includes $5 in free compute each month—enough to trial a few thousand records and see whether an Actor’s schema matches your stack before you scale spend.
Cookie-based flows usually mean pasting your own `li_at` (or similar) into a scraper. That ties runs to **your** account and can trigger bans if LinkedIn flags the session. “No cookies” Actors shift that risk model by using approaches that do not depend on your personal login—but you should still read each Actor’s docs and treat compliance as your responsibility.
Every run writes to an Apify Dataset. From the console you can add **integrations or webhooks** that POST finished items to HubSpot, Salesforce, or a middleware worker (n8n is a common middle layer) that maps fields before insert.
You are not using the target site’s official API quota in the same way a sanctioned integration would. Limits show up as **compute units, concurrency, proxy bandwidth, and the site blocking or throttling you**—budget and monitor those instead of assuming “no limits.”




