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

Firecrawl
Oxylabs
Apify
Bright Data
ScrapeHunt
Scrapy
ZenRows
Web scraping API for sites that block other scrapers

Which is more popular?
Based on our record, Hunter.io seems to be more popular. It has been mentioned 155 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | hunter.io | usestring.ai |
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| Company | Startup from France | — |
| Listed in |
What each product offers, as listed by its team.


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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 useString.ai yet.
Walkthroughs and reviews on video.
GTA Hunter Review
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Hunter.io and useString.ai.
useString.ai's answer:
String is a New York company building web-data infrastructure, turning the messy public web into accurate, usable data. Web Access is the part that actually gets pages back from sites that block other tools. It’s available as a standalone API and a hosted MCP server.
useString.ai's answer:
It gets through sites that block other scrapers and only bills requests that succeed. In an open benchmark of 17 scraping APIs on 100 bot-protected sites, String had the highest success rate at 98.6%, and the method and raw data are public. It picks the proxy and rendering method for each page itself, so developers don’t manage proxies or retries.
useString.ai's answer:
The best reason is reliability on hard sites: highest success rate in our open benchmark, and blocked requests aren’t billed. There’s nothing to configure, since proxies, rendering and captcha handling are chosen automatically. It returns clean Markdown, HTML or JSON, also offers web search and site mapping, and has a hosted MCP server for agents in Claude and Cursor. Pricing is public, and new accounts get $5 of free credit (about 20,000 fetches), no card needed.
useString.ai's answer:
Developers and data teams building AI agents, data products and pipelines that need live web data, especially from sites with strong bot protection. Typical uses are alternative data, pricing and inventory monitoring, talent and job data, real estate listings, and giving AI agents web access.
useString.ai's answer:
The service runs on managed cloud browsers and a proxy network, with automatic routing per request. The MCP server is open source and written in TypeScript. It exposes a REST API and an MCP endpoint, with SDK-free access from curl, Python and Node.
useString.ai's answer:
YipitData Revelio Labs DataWeave Sachem Head Canary Data Pararius Appsmith
Share your experience with using Hunter.io and useString.ai. 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 useString.ai 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
Tracking useString.ai since Nov 2026.
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