Apolloleadscraper Review 2024 In Depth Analysis of Features Pricing and Performance for B2B Lead Generation

If you’re tasked with finding quality B2B leads without burning out or breaking the bank, you’ve probably come across a sea of tools all promising to “revolutionize” your pipeline. Most of them overpromise and underdeliver. This review is for folks who need to know, in plain terms, if Apolloleadscraper is actually worth using in 2024—or if it’s just another shiny object.

Let’s break down exactly what this tool does, what it doesn’t, and how it stacks up in the real world for B2B sales and marketing teams.


What Is Apolloleadscraper, Really?

Apolloleadscraper is a browser-based tool for scraping B2B contact data, mostly from LinkedIn and a few other public sources. The pitch: you can build targeted lists of prospects (emails, names, company info, etc.) fast, then plug them into your email outreach or CRM.

It isn’t a full-on sales engagement platform like Apollo.io (confusing, I know), nor is it a CRM. It’s a specialized tool for extracting contact info, with the promise of making your prospecting less painful.

Who’s it for? - SDRs and sales teams who need to fill the top of the funnel themselves - Solo founders, freelancers, or agencies without big budgets - Anyone who’s tired of paying for overpriced, stale lead databases

If you’re already deep into enterprise tools or have legal teams breathing down your neck about compliance, this might not be your jam.


Key Features: The Good, The Bad, and The Fluff

Let’s cut through the marketing noise and look at what Apolloleadscraper actually offers.

1. LinkedIn Scraping

  • Works with LinkedIn search, Sales Navigator, and Recruiter.
  • You set filters, run a search, and let the tool pull profiles.
  • Grabs names, job titles, company, location, and (when possible) email addresses.

What works:
If your targets are active on LinkedIn, this is the fastest way to build a list without buying someone else’s stale data. You control the criteria, so you can get hyper-specific.

What doesn’t:
You’ll only get emails for a fraction of profiles—don’t believe any tool that claims 100% accuracy. Also, using scraping tools on LinkedIn is always a gray area; spammy behavior can get your account restricted.

Pro tip:
Use smaller, more focused searches. Large scraping runs are more likely to get flagged (and you’ll spend hours cleaning up bad data).

2. Email Discovery & Verification

  • Tries to find work emails based on LinkedIn profiles.
  • Runs emails through a validation check (catch-all, deliverable, etc.).

What works:
Decent hit rate for common company domains. The built-in verification helps you avoid bouncing emails and burning sender reputation.

What doesn’t:
No tool is magic here—expect to manually clean up results. Some emails will be guessed or outdated. Use a third-party verification tool if deliverability is mission-critical.

3. Exporting & Integrations

  • Exports to CSV, Excel, or Google Sheets.
  • No direct CRM integrations (as of early 2024).
  • No built-in email sending or sequencing.

What works:
You get full control of your data—export it, clean it, and use it however you want.

What doesn’t:
If you want a one-click flow from scraping to outreach, you’ll need Zapier or some DIY automation.

4. Chrome Extension

  • The tool runs as a Chrome extension.
  • Interface is basic but does the job—no learning curve.

What works:
Simple setup. No browser hijacking. No clunky desktop software.

What doesn’t:
You have to keep your browser open and avoid doing other stuff while scraping. Not ideal for multitaskers.

5. Compliance & Safety

  • The company claims GDPR compliance, but this is still on you.
  • LinkedIn (and other sites) frown on scraping, so use at your own risk.

What works:
If you’re discreet, you’ll probably be fine. Don’t abuse it.

What doesn’t:
If you’re in a regulated industry or your company is strict about data sources—skip this tool.


Real-World Performance: How Does Apolloleadscraper Stack Up?

Speed & Accuracy

  • Scrapes 300-800 profiles per hour, depending on your filters and internet speed.
  • You’ll get emails for about 30-50% of profiles on average (sometimes more, sometimes much less).
  • Accuracy is about what you’d expect from any LinkedIn-focused scraper—not perfect, but usable.

Data Quality

  • You’ll need to clean up job titles, remove duplicates, and spot-check emails.
  • Some company info can be outdated (not Apolloleadscraper’s fault—LinkedIn data is user-submitted).

Pro tip:
Always run a quick manual check on a sample of the exported list before blasting out emails. Bad data will tank your results.

Ease of Use

  • Install, log in, and run. That’s it.
  • Minimal documentation, but you probably won’t need much help.

Customer Support

  • Email-only support, usually responds in a day or so.
  • No live chat, no phone, no hand-holding.
  • There’s a small community forum, but don’t expect huge knowledge bases or fancy onboarding.

Pricing: Is It Worth the Money?

Here’s where Apolloleadscraper stands out versus big-name competitors.

| Plan | Price (Monthly) | Profiles/Month | Email Verification | Notes | |----------------|-----------------|----------------|--------------------|--------------------| | Free Trial | $0 | 50 | Limited | Good for testing | | Starter | ~$39 | 1,000 | Included | Solo/freelancer | | Growth | ~$99 | 5,000 | Included | Small teams | | Agency | ~$299 | 25,000 | Included | High-volume users |

What works:
- No contracts, no hidden fees, cancel anytime. - Price per contact is much lower than buying leads from a data broker or subscribing to Apollo.io/Snov/ZoomInfo. - Free trial is actually usable for a test run.

What doesn’t:
- If you need more than 25,000 contacts a month, you’ll need a custom plan (and probably a bigger wallet). - No team collaboration features or advanced reporting.

Heads up:
Prices change and there are often discounts, so double-check the official pricing page before signing up.


What You Should Ignore

  • Hyped-up claims about AI:
    Apolloleadscraper is not using some secret AI to unearth emails no one else can find. It’s clever, but not magic.

  • Promises of “100% verified leads”:
    No tool can do this. Expect to clean and verify your own lists.

  • All-in-one platform talk:
    This is a lead scraper, not a sales engagement tool. You’ll still need an email sending platform, CRM, and (ideally) a human touch.


Who Should Actually Use Apolloleadscraper?

  • Bootstrapped teams or solo operators:
    If you’re on a budget and want full control over your contact list, it’s a solid option.

  • Agencies:
    For clients who just need a fresh list to start outreach, this can save a lot of time.

  • Sales/marketing folks who are hands-on:
    If you’re willing to clean data and connect the dots between tools, it’s a fit.

Skip it if: - You need plug-and-play integrations with your CRM or outreach tool. - Compliance/legal is a top concern. - You expect perfect, always-fresh data (no tool will deliver that).


How to Get the Most Out of Apolloleadscraper

  1. Start Small.
    Use the free trial to scrape a niche segment—see if the data matches what you need.

  2. Refine Your LinkedIn Searches.
    The more specific your filters, the better your list will be. Think “CTOs at SaaS companies in Berlin,” not “software.”

  3. Validate Emails (Again).
    Even if Apolloleadscraper says “verified,” run a quick check with a third-party tool like NeverBounce or ZeroBounce.

  4. Export and Clean Your Data.
    Delete duplicates, fix job titles, and check company info before importing to your CRM or email tool.

  5. Don’t Blast Cold Emails Blindly.
    Personalize your outreach if you want replies. A scraped list is just the start.


The Bottom Line

Apolloleadscraper is straightforward, affordable, and does what it says—pulls B2B contact data from LinkedIn and similar sources. It’s not a miracle worker, but if you’re willing to put in a bit of manual effort, it can be a valuable part of your lead gen stack.

Keep your process simple, test with a real sample, and don’t expect any tool to do the hard work of actual selling for you. Iterate, tweak, and remember: good data is the start, not the finish line.