Software Alternatives & Startups

Xtract Replies VS FriendlyData

Compare Xtract Replies VS FriendlyData and see what are their differences

Xtract Replies

Extract X.com replies & Instagram comments. Export CSV/HTML locally.

Rating
0 reviews
Pricing
Free
FriendlyData

Communicate with databases like a human

Rating
0 reviews
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Social Media Tools popularity
100% vs 0%
alternatives listed
12 vs 16

Base details

Website, pricing, platforms and company facts side by side.

Xtract Replies
FriendlyData
Website miraxle.com friendlydata.io
Pricing
Free
—
Platforms
Google Chrome Opera Brave Chromium Vivaldi +2
—
Listed in

Features and specs

What each product offers, as listed by its team.

Xtract Replies 8 features
FriendlyData 3 features
  • One-click extract on X
    Pull replies from a public post without leaving the page
  • Instagram comments (beta)
    Export comments from public IG posts
  • CSV export
    Spreadsheet-ready reply/comment data
  • HTML export
    Sortable local report with main-post summary
  • Local-only privacy
    Data stays in your browser; no Xtract account
  • Open source
    github.com/siavashh/xtract-replies
  • Progress & Stop
    Control long threads
  • RTL support
    Persian/Arabic/Hebrew-friendly text
  • Ease of Use
    FriendlyData allows users to interact with databases using natural language queries, which makes it accessible for non-technical users who are not familiar with complex database query languages.
  • Time-Saving
    By enabling natural language processing, FriendlyData reduces the time it takes for users to get the information they need, facilitating quicker decision-making processes.
  • Integration
    FriendlyData can be integrated with various platforms and services, making it versatile for different business needs.

Possible disadvantages

  • Complex Queries Limitation
    While FriendlyData is useful for simple queries, it may struggle to accurately interpret and execute more complex queries, limiting its effectiveness for advanced data analysis.
  • Language Ambiguity
    Natural language processing might not always accurately interpret user queries, especially if the input is ambiguous or lacks specificity.
  • Dependency on Vendor
    Relying on third-party services like FriendlyData introduces dependency on the vendor for maintenance, updates, and support, which could pose risks if the service changes or is discontinued.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Xtract Replies
FriendlyData
100% 100%
0% 0%
0% 0%
AI
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Xtract Replies and FriendlyData.

How would you describe the primary audience of your product?

Xtract Replies's answer

Researchers, journalists, marketers, analysts

What makes your product unique?

Xtract Replies's answer

Local CSV/HTML export of X replies + IG comments (beta), no account, open source

Why should a person choose your product over its competitors?

Xtract Replies's answer

Privacy-first vs cloud scrapers; one click on the post

What's the story behind your product?

Xtract Replies's answer

Needed clean conversation exports without shady tools, built a local extension

Which are the primary technologies used for building your product?

Xtract Replies's answer

Chrome Extension MV3, vanilla JS, local DOM extraction

Who are some of the biggest customers of your product?

Xtract Replies's answer

Individual researchers and journalists Marketers doing campaign/reply audits Developers archiving public threads

User comments

Share your experience with using Xtract Replies and FriendlyData. For example, how are they different and which one is better?

Log in or Post with

Alternatives to Xtract Replies and FriendlyData

When comparing Xtract Replies and FriendlyData, you can also consider the following products.