Top 5 Lusha alternatives for local business data in 2026
Updated June 25, 2026
Lusha is a fast LinkedIn lookup. You hover over a profile, it returns a phone and an email, and you move on. That works when your buyer has a LinkedIn profile, and it breaks on small business owners. The owner of an HVAC shop, a roofing crew, or a med spa usually is not on LinkedIn, so Lusha returns nothing or the wrong number, which means the right alternative depends on whether your buyer lives on LinkedIn or runs a local shop.
TL;DR
Apollo: cheapest email-first option, but scraped from LinkedIn so owners get missed.
ZoomInfo: deepest data and most mobiles, but miscategorizes niche SMB and costs the most.
Seamless.AI: cheap high-volume list building, comes back missing owner and mobile.
Cognism: verified mobiles and EU coverage, but offline owners are not in the database.
Orbital: built for SMB owners off LinkedIn, 70 to 80% owner coverage.
At a glance
How the 5 tools compare
| Tool | Best for | Pricing | SMB owner coverage |
|---|---|---|---|
| Apollo | High-volume email outreach | $49 to $119 per seat per month | Low for SMB |
| ZoomInfo | Enterprise and mid-market | Custom quote only, commonly $15K to $40K per year | Low for SMB |
| Seamless.AI | Cheap, high-volume lists | Free tier, paid plans quoted | Low for SMB |
| Cognism | Phone-verified mobiles, EU | Custom quote only | Low for SMB |
| Orbital | SMB owners in field-service verticals | See the Orbital pricing page | 70 to 80% |
The rankings
The 5 tools
#1 Apollo
Apollo is the cheap, easy option, and it leans hard into email. You can mass-upload a region, pull contacts, and drop them straight into a cadence. For contacts who sit at companies on LinkedIn, the coverage is fine and the price is hard to beat. The catch is small business. The data is scraped from LinkedIn, so owners of local shops get missed, and sellers calling SMB lists from Apollo report wrong numbers often enough to waste a morning. Go with Apollo if you run high-volume email to LinkedIn contacts and want the lowest price.
#2 ZoomInfo
ZoomInfo has the deepest data here, and it finds more mobile and direct lines than the email-first tools, even when there is no email on file. If your buyer works at a company on LinkedIn, it is solid. Two problems for local. It miscategorizes niche SMB, so you cannot reliably filter a list down to something like music schools, and employee counts on small firms are often wrong. It is also the most expensive tool on this list. Go with ZoomInfo if you sell to enterprise and can pay for it.
#3 Seamless.AI
Seamless.AI is cheap and built for volume. If your motion is mass uploads and big email blasts, it does that. The quality is where it falls down for local. In head-to-head checks, Seamless lists come back missing the owner and missing the mobile number, which are the two fields a local seller needs most. Go with Seamless.AI if you want volume and low cost and you are not depending on reaching the owner.
#4 Cognism
Cognism is the phone tool. It verifies mobile numbers and has stronger EU and GDPR-compliant coverage than most of this list, so if you dial European prospects, it stands out. It still builds its contacts from LinkedIn and firmographic feeds, so the same gap applies. A local owner with no LinkedIn profile is not in the database to verify in the first place. Go with Cognism if you need verified mobiles for European or enterprise buyers.
#5 Orbital
We built Orbital for the buyer the others miss: the small business owner who is not on LinkedIn. Instead of LinkedIn, we pull from Google Maps, Yelp, Yellow Pages, the Better Business Bureau, legal filings, Secretary of State filings, news articles, and Dun & Bradstreet, and we refresh monthly. Each record carries the owner, a mobile, a direct email, location count, and the software the business runs, so you can filter a market and reach the decision-maker. We cover 70 to 80% of SMB owners, where the LinkedIn tools fall off, and find a mobile for 50 to 60% of those owners.
The fit is narrow. If you sell to enterprise, go with ZoomInfo. Go with Orbital if your buyer is a small business owner in HVAC, roofing, plumbing, med spa, dental, gym, restaurant, salon, or vet.
Which should you pick
Pick the tool that fits your buyer
Go with Apollo if you run high-volume email to LinkedIn contacts on a budget. Go with ZoomInfo if you sell to enterprise and need depth. Go with Seamless.AI if you want cheap volume and do not need the owner. Go with Cognism if you need verified mobiles for European buyers. Go with Orbital if your buyer is a local business owner who is not on LinkedIn.
Questions
FAQ
What is the best Lusha alternative?
There is no single best. It depends on your buyer. For high-volume email on a budget, Apollo. For enterprise depth, ZoomInfo. For small business owners, Orbital.
Is there a free Lusha alternative?
Apollo and Seamless.AI both offer free tiers. They draw from LinkedIn, so coverage on local business owners stays low whichever you pick.
Why does Lusha miss small business owners?
Lusha pulls contact data tied to LinkedIn profiles. Most local owners in trades like HVAC, roofing, and plumbing do not maintain a LinkedIn profile, so there is no record to return.
Which Lusha alternative has the best phone number coverage?
For enterprise contacts, ZoomInfo and Cognism lead on verified mobiles. For small business owners, Orbital finds a mobile for 50 to 60% of the owners it identifies.
What is the cheapest Lusha alternative?
Apollo starts at 49 per seat per month and Seamless.AI has a free tier. Both are cheaper than ZoomInfo, which is quote-only.
Which tool is best for HVAC, roofing, or med spa data?
Orbital. It is built to find owners in field-service and local verticals and covers 70 to 80% of SMB owners that LinkedIn-based tools miss.
Related
Keep reading
Reach the owners other tools miss.
Orbital maps small business owners from Google Maps, Yelp, Yellow Pages, the Better Business Bureau, and public filings, with the owner, a mobile, and a direct email, refreshed monthly. Tell us your vertical and metro, and we'll pull a sample you can call.
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