What is Email Scrapping?

Email scrapping means two different things depending on who is asking. Developers and data engineers use it to mean crawling public websites and extracting any email found in the HTML.

Sales teams, SDRs, and founders use it to mean finding the verified work email of a specific named decision-maker at a target company. This guide covers the second meaning entirely. Raw website scraping that harvests emails indiscriminately is a compliance risk under GDPR and CAN-SPAM and not a workflow I would recommend for B2B outreach. Every tool below is a contact finding tool, not a website harvester.

Why Free Email Scraping Tools Fail Most Sales Teams?

Before getting into specific tools, I want to be honest about something the category rarely admits.

Most free tiers are not designed to help you prospect. They are designed to show you enough of the product to want to pay for it. A free plan with 25 credits per month is not a prospecting tool; it is a product tour. You cannot evaluate match rates on 25 contacts.

You cannot know whether a tool actually covers your ICP until you run 100 or 200 contacts through it and measure how many come back verified.

The second thing most guides do not tell you is that database size is the least useful number to compare. Every tool claims hundreds of millions of contacts. What matters is the match rate on your specific ICP; your industry, your geography, your company size range, and your target job titles.

A tool with 700 million contacts that returns verified emails for 45 percent of your EMEA list is less useful than a tool with 100 million contacts that returns verified results for 75 percent of the same list.

The third thing worth knowing: email verification matters as much as email finding. A tool that finds an email address and does not verify it is handing you a gamble.

If you load unverified emails into a sequence and they bounce, your sending domain takes the hit. B2B contact data decays at 25 to 30 percent per year as people change jobs, companies rebrand, email formats change.

A bounce rate above 3 percent starts damaging your domain reputation. Above 5 percent and you are likely heading toward spam folder placement for every future campaign you run from that domain. Verification is not optional.

With that context, here is how I evaluated each tool.

The 12 Best Free Email Scraping Tools for B2B in 2026

While free tiers offer a functional start, every platform has specific strengths and inherent limitations. The best choice depends entirely on your company’s unique demands, volume requirements, and geographical focus. Below is a detailed breakdown of each tool to help you identify the solution that best fits your requirements.

1. FullEnrich

I will be direct about who I am here: I built FullEnrich. I am reviewing it first because its architecture is genuinely different from every other tool on this list, and understanding the difference will help you evaluate all of them more critically.

When there is a single database and it finds no record for a contact, the tool returns nothing. You move on. The contact stays unreachable. That is the single-source ceiling: regardless of database size, no single provider covers all industries, all geographies, all company sizes, and all job levels with equal depth.

I built FullEnrich specifically to solve this. When you submit a contact to FullEnrich, it queries premium data providers including Apollo, Lusha, ZoomInfo, Hunter, Datagma, ContactOut, Kaspr, and more additional providers in sequence.

If the first source has nothing, the waterfall moves to the second. Then the third. It continues until a triple-verified result is found or every source is exhausted. Triple verification means syntax validation confirms the address is correctly formatted, domain validation confirms the domain has an active mail server, and SMTP verification confirms the specific mailbox exists and can receive mail.

The result is an 80 percent or above match rate on typical B2B prospect lists, compared to the 40 to 60 percent ceiling I consistently see from single-source tools. 

Every email FullEnrich returns has a bounce rate under one percent in production. Credits are charged only when enrichment succeeds. A contact that returns no verified result costs nothing. Landlines found during phone enrichment are returned free. Unlimited seats on every plan.

An independent platform ICYPEAS tested 24 tools as a reverse email lookup tools where FullEnrich turned out to be the most trusted source with 96% match rate. The reason is simple; waterfall enrichment.

What FullEnrich returns per enriched contact: work email, personal email, mobile phone, LinkedIn job title, LinkedIn profile URL and description, company name, company LinkedIn URL, industry, company type, headcount, website, and founded date. Person and company data are included at no additional credit cost with every enrichment.

Pricing:

• Free tier: 50 credits on signup with no card required.

• Start: $26/month – 6000 credits per year

• Pro: $49/month for 1,200 credits

• Scale: Custom from $500/month.

Best for: RevOps and sales teams running high-volume outbound where every percentage point of match rate translates directly to more reachable contacts. Teams enriching LinkedIn URL exports from Sales Navigator. Any team whose existing tool is returning verified results for fewer than 70 percent of their list.

Try FullEnrich with 50 free credits

2. Hunter.io

Hunter was one of the first tools I integrated into FullEnrich's waterfall because of how well it covers company email formats for larger, well-indexed companies. Its domain search model is simple and effective: you submit a company's website domain and Hunter returns every email address it has found associated with that domain from public web pages, along with confidence scores and source URLs.

What I have observed from running Hunter as a source within FullEnrich is that it performs strongly for technology companies, marketing agencies, and any organization with significant public web presence.

It weakens considerably for smaller companies, companies in non-English markets, and contacts whose information is not indexed from public sources. For EMEA contacts specifically, Hunter consistently underperforms US-focused alternatives.

The Email Finder function takes a person's name and company domain and returns the most likely email address based on the domain's observed email patterns.

The Email Verifier checks deliverability. Both are useful tools, and the combination of finding plus verification within one credit quota makes Hunter's free tier more practical than most.

Hunter has no phone numbers on any plan. If phone data is part of your prospecting workflow, Hunter does not cover it.

Pricing:

• Free plan starts at 25 searches per month.

• Paid plans start at $34 per month billed annually.

Best for: Finding contacts at specific named companies where you know the domain but not the individual. PR outreach, link building, partnership development, and recruiting where domain-based search is the primary workflow. Not suited for large-scale B2B outbound prospecting where volume matters.

Where it falls short: 25 free searches per month is too limited for any meaningful outbound testing. No phone numbers on any plan. Coverage weakens significantly outside major English-speaking markets.

3. Apollo.io

Apollo is the tool I benchmark against most often when I talk to sales teams about their current stack, because it is genuinely the most common choice for early-stage teams that need contact data, sequencing, and a dialer in one place without paying enterprise prices. Apollo has done something significant: it made sales intelligence accessible at $49/user/month that ZoomInfo charges $15,000 per year for.

Having integrated Apollo as one of FullEnrich's data sources, I can tell you where its database performs and where it does not. For US technology companies and startups, Apollo's coverage is solid. For EMEA contacts, particularly outside the UK and Germany, coverage drops noticeably.

For contacts at companies with fewer than 50 employees, hit rates are lower than the headline database size suggests. Data accuracy sits around 60 to 70 percent in my direct experience running Apollo contacts through FullEnrich's verification layer.

Apollo has experienced data breaches in the past. This is documented and worth knowing when you are evaluating any tool's data handling practices.

The free tier is genuinely one of the more useful ones in this category. 75 email credits per user per month is enough to run a meaningful evaluation on a small ICP list.

Pricing:

• Basic: $49/user/month

• Professional: $79/user/month

• Organization: $119/user/month

Best for: Early-stage teams and individual SDRs who need contact finding, sequencing, and a dialer in one platform without the budget for separate specialized tools in each category.

Where it falls short: Data accuracy below the category standard. European and APAC coverage is weaker than the US. Per-seat pricing scales quickly with team growth. Phone numbers available but quality is variable.

4. Snov.io

Snov.io combines email finding, a 7-tier email verification system, drip campaign automation, and a lightweight CRM in one platform. For small teams that want contact finding and basic outreach automation without paying for multiple separate tools, Snov.io is one of the more practical starting points in this category.

The 7-tier verification is genuinely good as it catches catch-all domains, greylisted servers, and disposable addresses that most tools miss. The problem I see consistently is the credit model. Finding and verifying share the same credit pool on all plans.

On the free plan with 50 credits, if you find 25 emails and verify 25, you have used your entire month. On the Starter plan with 1,000 credits at $39/month, finding 500 emails and verifying 500 uses the entire monthly allowance with nothing left. Teams doing any meaningful volume quickly find themselves on the Pro plan at $74.25/month, which is where the tool becomes genuinely functional.

Free tier: 50 credits per month(finding + verifying combined)

Paid pricing:

• $29.25/month billed annually for Starter with 1,000 credits.

• Pro at $74.25/month with 5,000 credits and unlimited mailbox warm-up.

Best for: Small teams that want email finding, verification, and basic drip campaign automation in one platform at an affordable starting price.

Where it falls short: Finding and verifying share the same credit pool, halving effective volume at every plan tier. Bulk LinkedIn extraction requires a paid plan. Credits do not roll over. Teams doing serious outbound volume will find the Starter plan insufficient within their first active month.

5. Kaspr

Kaspr is a LinkedIn Chrome extension with strong European contact coverage, particularly for French and broader Western European markets. The data is verified against 150 sources and the free plan is the most generous in this category for email credits — unlimited B2B emails if you invite three colleagues to join, which makes it genuinely useful for evaluating EU ICP match rates before committing to a paid plan.

There is one compliance item I want to flag directly because I think buyers deserve to know it. Kaspr received a €240,000 fine from France's CNIL in 2024 for inadequate compliance procedures around how it collected and handled contact data.

The company has updated its practices since then, but the fine is the clearest available signal of how regulators viewed its data handling at a specific point in time. I flag this not to dismiss Kaspr but because GDPR compliance is a real business risk and buyers should have all the information.

Free tier:

• Unlimited B2B email credits when three colleagues join.

• 5 phone credits and 5 direct email credits per month. 

Paid pricing: 

Paid plans start with “Starter” at $45 per user per month with increased phone credits and advanced features.

Best for: Individual SDRs and small European sales teams prospecting from LinkedIn who need strong EU coverage and are comfortable with a Chrome extension-first workflow.

Where it falls short:

Chrome extension only 

Less suitable for enterprise teams or those needing bulk enrichment outside LinkedIn.

6. Lusha

Lusha's Chrome extension overlays verified email and phone data directly on LinkedIn profiles. The native integrations with Salesforce, HubSpot, Outreach, Salesloft, and Pipedrive make it easy to push contacts directly into existing CRM workflows without manual data entry.

One pricing change for 2026 that significantly affects cost calculations: mobile phone reveals now cost 10 credits rather than 1. On the free plan with 40 credits per month, this means you can reveal 4 phone numbers or 40 email addresses, not both.

For teams whose outbound motion includes cold calling alongside email, this credit cost changes the economics considerably compared to earlier Lusha pricing.

The HubSpot integration, which is one of Lusha's stronger selling points for HubSpot-centric teams, is locked to the Scale plan. Teams on lower tiers cannot push contacts to HubSpot natively.

Free tier:

40 credits per month given that mobile reveals cost 10 credits each, the free plan covers 4 phone lookups or 40 email lookups per month 

Paid pricing: $37.45/user/month billed annually.

Best for: Individual contributors doing LinkedIn-based prospecting who need a fast one-click workflow and are already invested in Salesforce or another supported CRM for direct integration.

Where it falls short: Mobile phone reveals at 10 credits each make calling-heavy workflows expensive at any volume. HubSpot integration requires Scale plan. Per-seat pricing adds up for growing teams.

7. Skrapp.io

Skrapp.io is built specifically for LinkedIn and Sales Navigator workflows. The Chrome extension works within Sales Navigator searches and extracts emails directly from search results pages. The free plan includes 100 email credits per month with rollover.

What I notice about Skrapp in the context of running it as a source within FullEnrich's waterfall is that its coverage is reasonable for technology companies in the US and UK but drops off quickly for manufacturing, healthcare, and other industries less represented on LinkedIn relative to their actual size. It is also email-only. No phone numbers on any plan.

Free tier: 100 email credits per month with rollover. One of the most generous email-only free tiers in this category.

Paid pricing: $39/month for the Professional plan with 1,000 credits per month billed annually.

Best for: Teams prospecting primarily from LinkedIn Sales Navigator who want a straightforward email extraction tool without additional complexity. Good starting point for testing Sales Navigator list quality before investing in higher-volume tools.

Where it falls short: No phone numbers on any plan. Database coverage lower than multi-source platforms. Less suitable for industries with limited LinkedIn presence.

8. GetProspect

GetProspect combines LinkedIn email extraction via Chrome extension with a built-in CRM for organizing extracted contacts. It accepts bulk CSV uploads and returns enriched contact data, which makes it more flexible than extension-only tools for teams building lists outside of LinkedIn browsing sessions.

Independent testing published in 2026 found GetProspect returned verified emails for approximately 73 percent of contacts in test batches, with 62 percent passing verification. That verification pass rate means roughly 38 percent of the emails returned would bounce if sent without additional verification.

For reference, FullEnrich's production bounce rate is under 1 percent. The gap matters most for teams running high-volume sequences where every bounce costs domain reputation.

Free tier: 50 email credits per month.

Paid pricing: $49/month for 1,000 credits billed annually.

Best for: Small teams that want LinkedIn email extraction plus basic contact organization in one place. Useful for low-volume, manual prospecting workflows where speed matters more than verification depth.

Where it falls short: Verification accuracy below the category standard based on available test data. No phone numbers. Coverage drops in niche industries. Shared credit pool for finding and verifying.

9. Prospeo

Prospeo focuses on verified B2B emails from Sales Navigator with a 5-step verification process that covers catch-all handling, spam-trap removal, and honeypot filtering — more verification layers than most tools in this category. The result is higher accuracy on the emails it does find, even if the total match rate is lower than waterfall platforms.

Free tier: 75 email credits per month.

Paid pricing: $39/month billed annually for the Starter plan with 1,000 credits.

Best for: Teams doing Sales Navigator-based prospecting who prioritize email verification depth over database breadth, and whose sequences are sensitive to any bounce rate impact on domain reputation.

Where it falls short: Bulk CSV enrichment not available on the free plan. Smaller database than multi-source platforms. Email only. No phone number extraction.

10. Evaboot

Evaboot handles something that most LinkedIn email tools do not: data cleaning at the point of export. It automatically removes duplicate entries, contacts that do not match your search criteria, and profiles with mismatched or incomplete data from every Sales Navigator export.

Each verified lead costs 2 credits; 1 for profile extraction and 1 for email finding so the effective volume per credit is half what it appears at first.

One important note: Evaboot requires an active LinkedIn Sales Navigator subscription to function. Sales Navigator starts at $99.99/month separately. That cost should be added to any Evaboot pricing comparison to get the true total cost of this workflow.

Free tier: No permanent free plan. Trial available.

Paid pricing: $29/month for the Starter plan with 500 credits, covering 250 complete leads with emails at the 2-credit-per-lead model.

Best for: Teams already paying for Sales Navigator who want the cleanest possible exports with automatic data cleaning and built-in verification without manual list hygiene work after export.

Where it falls short: Requires active Sales Navigator subscription adding $100/month to effective cost. No phone numbers. Credits go twice as fast as the number suggests due to the 2-credit model.

11. Findymail

Findymail uses a proprietary verification algorithm that validates catch-all and accept-all domains that most providers mark as unverifiable and skip. This unlocks a segment of valid emails that other tools leave on the table, particularly at companies with permissive email servers that most tools flag as risky. The result is higher deliverable email counts from the same input list compared to tools that skip catch-all domains entirely.

Free tier: Limited trial credits.

Paid pricing: $99/month billed monthly for 5,000 x Finder Credits and 5,000 x Verifier Credits

Best for: Teams where email deliverability is the primary concern and who need to extract verified emails from Sales Navigator at volume with the lowest possible bounce rate, including from catch-all domains.

Where it falls short: Sales Navigator-focused workflow. No phone numbers. Higher price per credit than some alternatives. Limited use outside LinkedIn-based prospecting.

12. PhantomBuster

PhantomBuster runs pre-built automation scripts called "phantoms" that extract data from LinkedIn, Sales Navigator, Twitter, Instagram, Google Maps, and other platforms. The LinkedIn Email Finder phantom extracts emails from profiles and search results. The platform supports use cases that simpler tools cannot – automated extraction from LinkedIn event attendee lists, post commenters, group members, and company followers.

I include PhantomBuster because it covers legitimate use cases that none of the other tools in this list handle. If you need to find emails for everyone who commented on a competitor's LinkedIn post, or everyone who attended a specific event, PhantomBuster handles these workflows.

However, LinkedIn actively detects and limits automated activity. Running PhantomBuster without staying within LinkedIn's safe usage limits creates real account restriction risk, and PhantomBuster's own documentation acknowledges this.

Free tier: 14-day free trial with limited phantom runs. No permanent free plan.

Paid pricing: $56/month for the Starter plan with 20 hours of phantom execution per month.

Best for: Technical users who need automated extraction from non-standard LinkedIn sources or multiple platforms beyond LinkedIn, and who are comfortable managing automation safely within platform limits.

Where it falls short: Steeper learning curve than every other tool in this category. LinkedIn account restriction risk if not managed carefully. No verification built in; you need a separate tool to verify extracted emails before sending.

How I Evaluated These 12 Free Email Scraping Tools?

For each tool, I looked at four things:

Match rate on a real B2B list. How many contacts from a mixed ICP list – technology companies, 50 to 500 employees, US and EMEA, VP and Director level titles – returned a verified email address. I used my own data from running these tools through FullEnrich's provider testing infrastructure, supplemented by published independent test data where available and linked.

What the free tier actually delivers. Not what the marketing page says. What you can actually do with the free credits before hitting a wall including whether verification costs extra credits on top of finding.

Verification depth. Whether the tool performs SMTP-level verification (checking the actual mailbox exists) or relies on pattern matching and domain validation alone. The difference between these approaches is the difference between a 1 percent bounce rate and a 10 percent bounce rate.

Compliance posture. Whether the tool can document the legal basis for the personal data it sells, and whether there are any public enforcement actions that tell us how regulators view its practices.

Why Single-Source Tools Hit a Coverage Ceiling

Every tool in this list except FullEnrich queries one primary database. When that database has no record for a contact, the query returns nothing. No credit charged, but no result delivered. The contact stays unreachable.

This is not a flaw in any specific tool; it is the fundamental limitation of the single-source model. No single database covers all industries, all geographies, all company sizes, and all seniority levels with equal depth. B2B contact data decays at 25 to 30 percent per year. Static databases updated quarterly degrade between updates.

I built FullEnrich's waterfall enrichment to solve this specifically. The contact that returns nothing from one provider is searched in the next. Then the next. The match rate of 80 percent or above is the direct result of not stopping at one source.

For a team running a list of 1,000 contacts, the difference between 50 percent coverage from a single-source tool and 80 percent coverage from waterfall enrichment is 300 additional reachable contacts. 

For teams running CRM enrichment on existing databases with missing contact fields, the same logic applies. Every contact record with an empty email field is a revenue opportunity your team cannot reach. Waterfall enrichment fills those gaps that single-source tools leave empty.

Legal Compliance: What You Need to Know Before Using Any of These Tools

The compliance question is not optional in 2026. Regulators are actively enforcing, and the fines are material.

GDPR (European Union): Any personal data of EU residents including professional email addresses is subject to GDPR regardless of where your company is based. For B2B prospecting, legitimate interest is the most commonly used legal basis, but it requires that the outreach is genuinely relevant to the recipient's professional role, that an opt-out mechanism is provided, and that opt-out requests are honored immediately.

GDPR fines can reach €20 million or 4 percent of global annual turnover, whichever is higher. For a detailed breakdown of how GDPR applies specifically to B2B cold outreach, see our guide to GDPR and B2B cold calling.

CAN-SPAM (United States): You can email someone without prior consent, but every commercial email must include an unsubscribe link, a real physical address, and an honest subject line. Violations carry penalties of up to $51,744 per email.

CCPA (California): California residents have the right to know what personal data is being collected and to request deletion. Outreach targeting California-based contacts requires clear opt-out mechanisms.

The safest compliance posture is using tools that source data from public professional records and opt-in databases, perform enrichment on demand rather than storing personal data in a static warehouse, and can provide documentation of their legal basis for processing. FullEnrich is SOC 2 Type II certified, GDPR aligned, and CCPA compliant.

How to Choose the Right Free Email Scraping Tool?

To choose the right free email scraping tool, first determine what is your concern: is it the highest possible match rate? If yes, then FullEnrich is the right free email scraping tool for you. Run your first 50 contacts through FullEnrich on the free tier alongside any other tool you are evaluating.

Compare how many contacts come back verified between the two. That comparison will tell you more about which tool your team should be running than anything I can write here.

If your ICP is in European markets and LinkedIn is your primary lead source, start with Kaspr's free plan. The unlimited email credits with colleague invites give you real volume to evaluate EU match rates before spending anything.

Frequently Asked Questions

What is an email scraping tool in B2B?

In B2B sales, an email scraping tool is software that finds verified professional email addresses for specific named decision-makers at target companies. You give it an input and it searches its database to return a verified work email. This is different from raw website scraping, which crawls public web pages and extracts any email found in the HTML regardless of who it belongs to.

Are free email scraping tools legal for B2B prospecting?

Using B2B contact finding tools for targeted professional outreach is legal under the legitimate interest provision of GDPR, CAN-SPAM in the US, and equivalent frameworks, provided the outreach is relevant to the recipient's professional role and opt-out requests are honored. Raw website scraping that harvests personal emails indiscriminately at scale carries significantly higher compliance risk. Use tools that source from compliant databases and ensure every outreach includes a clear unsubscribe option. 

What is the difference between email finding and email scraping?

Email finding queries verified databases and LinkedIn to locate the specific work email of a named contact. Email scraping in its original technical sense crawls public web pages and extracts any email address found in the HTML. Most sales teams and B2B tools use "email scraping" to mean the former. The distinction matters for data quality and for compliance, since harvesting emails from websites without consent carries GDPR risk.

Why do most free email scraping tools return so few verified contacts?

Single-source tools are limited by one database's coverage. No database covers all industries, geographies, and company sizes equally. Match rates of 40 to 60 percent are typical for single-source tools on mixed B2B lists. Waterfall enrichment querying 20 or more providers in sequence until a verified result is found pushes match rates to 80 percent or above on the same lists by replacing "no result" with "try the next source."

What bounce rate should I expect from a good email scraping tool?

A triple-verified email -- checked through syntax validation, domain validation, and SMTP verification – should produce a bounce rate under 1 percent in production. Tools that rely on pattern matching alone without SMTP verification produce bounce rates of 5 to 15 percent. Bounce rates above 3 percent start damaging your email domain's sender reputation. Above 5 percent, your future campaigns face spam folder placement regardless of message quality. Verification depth is the most important single factor in protecting your domain.