
Apollo.io
Lusha
Snov.io
ZoomInfo
ZeroBounce
Clearbit
NeverBounce
Find all the email addresses related to a domain

Masthead Data
Clearbit
Removaly
Metaplane
Piwik PRO
No-Code Board
Free Word Cloud Generator (.com)
Quality assurance & monitoring for analytical data

Which is more popular?
Based on our record, Hunter.io seems to be a lot more popular than Datafold. While we know about 155 links to Hunter.io, we've tracked only 1 mention of Datafold.
Website, pricing, platforms and company facts side by side.
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| Website | hunter.io | datafold.com |
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| Company | Startup from France | — |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Datafold yet.
Walkthroughs and reviews on video.
GTA Hunter Review
More videos
Datafold Demo // Modern Data Reliability, Quality, Column-lineage, etc (w/ Matt David) | Demohub.dev
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Hunter.io and Datafold. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Hunter, Lusha, and LeadIQ all have free plans. Among paid plans on monthly billing, LeadIQ Pro starts at $20 a month for up to 5 users, and Hunter Starter starts at €49 a month.The cheapest option depends on whether...
Hunter, on the other hand, is built around email discovery, verification, and cold email sequencing. It doesn’t automate LinkedIn actions, but instead helps you find and validate professional email addresses and run...
I tested the waterfall enrichment to understand how it works. Clay pulls the data you need from over 100 sources. Say you want to find your prospect’s valid email address, Clay scans various sources like Hunter,...
We have no reviews of Datafold yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


A few things worth flagging: PDL beats Clearbit's historical rates for US and Western European companies, but drops to ~52% match rate for Japan and South Korea specifically. Apollo underperforms on raw company matching but returns... - Source: dev.to / 6 months ago
The real conclusion I'd push back on from every vendor comparison I've read: there is no single tool that solves reverse lookup at 80%+ accuracy with clean data. The waterfall is the answer. The question is whether you build it yourself... - Source: dev.to / 6 months ago
Last year I ran the same LinkedIn Sales Navigator export through three enrichment APIs. Apollo matched 61% of the emails. Hunter.io matched 54%. An OSINT-first pipeline I'd built in n8n — pulling from public sources before hitting any... - Source: dev.to / 7 months ago
Gleb, Alex, Erez and Simon here – we are building an open-source tool for comparing data within and across databases at any scale. The repo is at https://github.com/datafold/data-diff, and our home page is https://datafold.com/. As a... - Source: Hacker News / over 4 years ago
When comparing Hunter.io and Datafold, you can also consider the following products.

Apollo’s predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
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Masthead Data helps data teams to identify and fix data errors before they become a problem for data consumers. It catches anomalies in the data warehouse in real time.
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Snov.io is a multichannel lead generation and outreach automation platform that helps B2B teams find qualified leads, automate email and LinkedIn campaigns, and manage deals in one built-in CRM.
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Remove your personal information from the internet.
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