
AG Grid
TanStack Table
Webix Grid
Material React Table
Frappe DataTable
RevoGrid
DataTables
Tablefront is a premium, zero‑configuration React DataTable with table, grid, and masonry layouts. Built on TanStack Table with TypeScript and composable UI.

Apify
Apollo.io
Outscraper
Octoparse
import.io
Expandi.io
Waalaxy
A marketplace of simple to use no-code APIs

Which is more popular?
Based on our record, Phantombuster seems to be more popular. It has been mentioned 19 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | tablefront.sineways.tech | phantombuster.com |
| Pricing | — | |
| Company | Startup from the Netherlands · 1 - 9 employees · 2025 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Features: Zero Configuration - Works out of the box Multiple Display Modes - Table, Grid, and Masonry layouts Advanced Interactions - Column drag-and-drop, resizing, expandable rows Smart Auto-Generation - Columns, filters, and searches auto-generated Responsive Design - Mobile-first approach...
No description of Phantombuster yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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📈 Lead Generation 2020 📈 | How To Scrape Emails In Minutes | PhantomBuster Webcrawler 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 Tablefront and Phantombuster.
Tablefront's answer
It's a zero-config setup, you feed it your data and it sets all the defaults for you so you get a beautiful looking table that fits your data automatically, with all the features activated. So you start off with something that already works and looks great, then you can configure, override and customize as you wish with full power.
Tablefront's answer
Simplicity, speed and advanced interactions are there from moment zero. No hassle, no learning curve. Just plug-and-play to get you to a production-grade working version. Then you still have full power to customize any part of it if you wish.
Tablefront's answer
Web developers with a focus on data and visualizing it in a beautiful way. UX obsessed designers.
Tablefront's answer
We built it for our selves in order to develop our data-heavy B2B products, it's currently used in production in multiple systems and we were so happy with it we had to put it out there.
Share your experience with using Tablefront and Phantombuster. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of Tablefront yet. Be the first one to post
A LinkedIn automation tool performs outreach actions such as connection requests and messages, while a scraper extracts data from LinkedIn profiles and searches into a list. PhantomBuster and Evaboot both extract...
PhantomBuster is more of an automation and data extraction toolkit than a traditional LinkedIn outreach platform. Instead of focusing on structured drip campaigns, it allows you to scrape data and automate actions...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Tablefront since Sep 2025.
Some teams use Phantombuster to automate LinkedIn outreach to unresolved users. I don't recommend this — it violates LinkedIn's ToS and creates legal exposure faster than it creates pipeline. - Source: dev.to / 6 months ago
Make.com is a valid alternative to n8n. Make's pre-built modules for Apollo, Hunter.io, and Phantombuster are more polished out of the box. n8n's self-hosted version is cheaper at scale and supports arbitrary HTTP calls without needing a... - Source: dev.to / 7 months ago
This is the core problem with scraping-adjacent APIs: you often can't audit their collection methods. When Phantombuster runs automations using your LinkedIn session cookie, your account is the one LinkedIn's fraud detection sees. When... - Source: dev.to / 7 months ago
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