CRX Extractor
Microlink
Extractor API
iLoveSchema
GetData
Microlink screenshot
Shottr
Extract structured content from the semantic web

DISQUS
giscus
Cusdis
ReplyBox
talkatv
HashOver
Remark42
A lightweight comments widget built on GitHub issues.
Which is more popular?
Based on our record, utterances seems to be more popular. It has been mentioned 53 times since March 2021.
Website, pricing, platforms and company facts side by side.
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SAP
Schema API
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|---|---|---|
| Website | schema.api.page | utteranc.es |
| Pricing | — | |
| Listed in |
What each product offers, as listed by its team.

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

No analysis of Schema API yet.
Overall verdict
Why this product is good
Recommended for
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SEMANTICS-7: Utterances, Sentences & Propositions
How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using Schema API and utterances. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Tracking Schema API since Jul 2021.
Utterances: **The primary inspiration for giscus. It uses **GitHub Issues instead of Discussions to store comments. It is extremely lightweight but does not support threaded replies as natively as giscus. - Source: dev.to / 7 months ago
Title: [TIL][Jekyll] Removing Disqus and switching to utteranc to use github issue as article comments Published: false Date: 2021-05-14 00:00:00 UTC Tags: Canonical_url:... - Source: dev.to / over 5 years ago
'use client'; Import { useEffect, useRef } from 'react'; Const Comments = ({ issueTerm }) => { const commentsSection = useRef(null); useEffect(() => { const script = document.createElement('script'); script.src =... - Source: dev.to / over 2 years ago
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Extract clean text from thousands of articles with a simple API request or use our visual web tool - we'll handle IP rotation, retries and everything else. Features include news search, translation, and ML-powered text extraction.
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Open-source, lightweight comment system for your website
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