outscraper vs phantombuster vs hunter.io: b2b lead gen tools compared

outscraper wins for google maps and review scraping at scale. phantombuster wins for linkedin automation and multi-platform workflows. hunter.io wins for email finding and verification. all three are mature in 2026 with established products and clear pricing. they solve different parts of the lead gen pipeline. most teams running b2b outbound use two of the three together rather than picking one.

this comparison covers what each tool does well, where they overlap, what they cost, and how they fit into a 2026 outbound stack.

quick verdict by job

what each tool actually does

outscraper

outscraper sells public data scraping as a service. their api covers google maps places, google reviews, google search, ebay, amazon, yellow pages, trustpilot, and 30+ other sources.

you submit a query (e.g. “dentists in singapore”) and outscraper returns a structured csv or json with name, address, phone, website, rating, review count, and contact details where available. for reviews you get the full review text plus author metadata.

it is the most reliable way to build local business lists at scale without running your own scraping infrastructure.

phantombuster

phantombuster is a no-code scraping and automation platform with 100+ pre-built “phantoms” for linkedin, twitter, instagram, facebook, sales navigator, indeed, and others.

each phantom is a worker that runs in the cloud on a schedule. you set up a linkedin search url, point a phantom at it, and it scrapes profiles into a csv. another phantom can take that csv and send connection requests with personalized messages.

phantombuster excels at multi-step workflows. example: scrape sales nav search, enrich with hunter.io emails, send linkedin invites, then email follow-ups. the chaining is the moat.

hunter.io

hunter.io is the dominant email finder. you give it a company domain and it returns email addresses for people at that company, scored by confidence. their email verifier checks if a given email is deliverable without sending.

the data comes from public web sources (company websites, mailing lists, github commits, signature scraping) and is updated continuously. they cover 200m+ companies.

hunter is narrow but deep. emails are the only thing it does. they do it better than any general-purpose tool.

pricing in 2026

outscraper bills by results returned. phantombuster bills by execution time of phantoms. hunter bills by lookups (one email find = one lookup). these are different units, which makes direct comparison hard.

for 1,000 google maps places per month, outscraper at $35 is cheapest. for the same data via phantombuster, you need a maps phantom (exists, slower) and budget around 5 hours of runtime, fitting in the $69 plan.

for 500 emails per month, hunter at $49 is the price-per-email leader. phantombuster has an email finder phantom but it consumes execution time and is less accurate.

data quality

outscraper data quality is high for google maps fields (name, address, phone, hours, rating). emails and “owner contact” are best-effort enrichments and accuracy varies by region. for sg and us markets it works well; for sea outside major cities, expect 30 to 50 percent miss rates on emails.

phantombuster data quality depends on the source. linkedin scrapes are reliable but limited by linkedin’s rate limits per session. instagram and twitter scrapes are less reliable because those platforms invest heavily in anti-bot. expect 60 to 90 percent accuracy depending on the phantom and recency of platform changes.

hunter.io email accuracy is the highest in the category. their verifier reduces hard bounces to under 2 percent in our testing across 10,000 emails. for cold email deliverability, hunter is what your inbox-warming team will demand.

gdpr and legal posture

all three have public posture statements on gdpr and ccpa.

outscraper scrapes only public data and provides standard privacy controls. they comply with subject access requests. their tos passes responsibility for downstream use to the buyer. read their outscraper terms before using for eu prospects.

phantombuster sits in a grayer zone. linkedin scraping violates linkedin’s tos but is generally legal under us case law (hiq v linkedin). phantombuster’s tos disclaims liability for platform-tos violations and pushes that onto the user. for eu prospects, run gdpr legitimate-interest analysis and document it.

hunter.io operates under legitimate interest in the eu and offers explicit subject removal flows. it is the cleanest of the three from a gdpr standpoint because it surfaces public-facing emails that companies have already published.

for any cold outreach campaign in the eu or uk, document your lawful basis before sending. the european data protection board guidance is the source of record.

integration and api

phantombuster and hunter both ship chrome extensions. outscraper does not. for sales reps doing manual research alongside automation, the extensions matter. for engineers building a pipeline, the rest apis matter.

all three offer good documentation and active 2026 maintenance. official refs: outscraper api, phantombuster api, hunter api.

the typical b2b outbound stack in 2026

most teams we see running outbound use two or three of these tools together.

stack 1: local services targeting (agencies, dentists, contractors)

• outscraper for the maps list
• hunter.io for emails of decision-makers at each company
• email outreach tool (mailchimp, instantly, smartlead)

stack 2: linkedin-first b2b saas outbound

• sales nav search url
• phantombuster to scrape profiles + send connection requests
• hunter.io to enrich profiles with emails for parallel email touch
• crm to track responses

stack 3: account-based marketing on enterprise targets

• internal tam list
• hunter.io to find decision-makers per company
• phantombuster for linkedin warm-up
• email outreach for direct touches

few teams use only one tool. each fills a different stage of the funnel. for the proxy and ip side of any cold outbound see our proxies for lead generation guide.

when to skip all three

three scenarios where you do not need any of these.

zoominfo or apollo subscriber. if you already pay for a contact-data platform, the email finder use case is covered. you may still want phantombuster for linkedin automation. for the proxy considerations on these platforms see our apollo and zoominfo proxies guide.

referral-led growth. if 80 percent of your pipeline comes from referrals, scraped lists rarely outperform asking customers for warm intros.

eu enterprise b2b. for large accounts in the eu, scraped data is risky. legitimate prospecting through events, content, and inbound has lower legal exposure.

for the multi-account safety side of running phantombuster at scale see our multi-accounting proxies guide.

cost example: 1000 quality leads per month

target: 1000 verified b2b emails of saas marketing managers at companies with 50 to 500 employees.

stack a: outscraper + hunter.io
– outscraper: build seed list from linkedin company-id mapping + google maps presence: $35
– hunter.io: 1000 lookups + 500 verifications: $49 to $99
– total: roughly $85 to $135 per month

stack b: phantombuster + hunter.io
– phantombuster sales nav profile scraper: $69 (20 hours, fits 1000 profiles)
– hunter.io: 1000 lookups: $49
– total: $118 per month

stack c: phantombuster only with email-finder phantom
– phantombuster business plan: $159
– email accuracy noticeably lower; expect to verify externally
– total: $159, lower data quality

practical advice: run hunter alongside whatever scraping tool you pick. the verification step is what keeps cold email deliverability above 95 percent.

faq

is outscraper legal to use?

outscraper scrapes public data only. for eu and uk prospects, run a gdpr legitimate-interest analysis before using the data for outreach. for us prospects, ccpa applies. always offer an opt-out in your outreach.

is phantombuster against linkedin’s tos?

scraping linkedin technically violates their tos. us case law (hiq v linkedin) generally protects scraping of public profiles for now. linkedin actively rate-limits and bans suspected scraping accounts. use cooldowns, residential proxies (separate from your main account ip), and budget for occasional account replacements.

what is the most accurate email finder in 2026?

hunter.io is the leader for accuracy and deliverability in our testing across 10,000 emails. apollo and zoominfo can match it on enterprise targets but cost more. for budget tools, neverbounce and zerobounce are competitive verifiers but less strong on the discovery step.

can these tools replace zoominfo or apollo?

partially. for smb and local-business prospects, outscraper plus hunter.io covers most use cases at one-tenth the price. for enterprise contact data with org charts and intent signals, zoominfo and apollo still have richer datasets.

do i need proxies to use phantombuster?

phantombuster runs in their cloud with their own ip pool. you can also bring your own proxies to reduce risk on linkedin and other rate-limited targets. for paid linkedin sales nav accounts, residential proxies are recommended to avoid suspension.

what is the cheapest way to build a b2b lead list in 2026?

outscraper for the seed list (e.g. all dentists in a city) plus hunter.io for emails. for a 1,000-email list this runs around $85 per month total. cheaper than zoominfo, apollo, or building a custom scraper.

the bottom line

these tools solve different parts of the same funnel. outscraper handles structured data scraping at scale. phantombuster handles social platform automation. hunter.io handles email discovery and verification. the right answer is rarely “pick one” but “pick the two that fit your stack.”

for local services and smb outbound, outscraper plus hunter is the cleanest combination. for linkedin-first b2b saas, phantombuster plus hunter is standard. for enterprise abm, layer all three onto a zoominfo or apollo seat.

run gdpr lawful basis docs for eu prospects regardless of which tool you pick. cheap leads with bounces and complaints cost more than no leads at all.