Turn YouTube comments into audience insight.
Extract a public video's comments as structured JSON, then ask focused questions about the feedback. Find what viewers liked, what confused them, what they want next, and where the strongest conversation is happening.
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The workflow
From raw comments to a sentiment breakdown.
FetchLayer gives you the public data in a predictable shape. Your code, automation, or AI agent can turn it into an ongoing source of customer insight.
- 01
Fetch the relevant conversation
Provide a public video URL and choose top or newest comments and pages based on the feedback you need.
- 02
Load reply threads on demand
Use the /comments/replies endpoint to pull full discussion threads for comments where the conversation matters most.
- 03
Ask for an actionable synthesis
Use an LLM or your own analysis to group feedback into themes, cite representative comments, and suggest the next action.
What to surface
The signal hiding in viewer reactions.
Audience reaction
Summarize the tone of the response while retaining the individual comments behind broad sentiment labels.
Repeated questions
Find questions that should become a follow-up video, documentation improvement, or a clearer product explanation.
Content requests
Surface the topics, comparisons, and examples viewers explicitly ask the creator to cover next.
Product feedback
When a video introduces a product, comments become public qualitative feedback about objections, gaps, and value.
Conversation context
Include nested replies where the actual insight comes from the discussion rather than the first comment alone.
Competitor research
Analyze public responses to competitor videos to understand what their audience praises, questions, or rejects.
AI-ready input
Hand your agent the comments — and the actual question.
Use FetchLayer through REST or MCP. The important part is keeping the original feedback alongside the summary so your team can inspect the evidence behind every conclusion.
Read these YouTube comments and replies. Group the audience feedback into praise, confusion, objections, and requests for future content. Cite the most representative comments for every theme.
Viewers understand the main idea but repeatedly ask for a practical setup tutorial. The strongest objection is uncertainty about pricing; make both themes easy for the creator to inspect in the source comments.
Start free. Scale when ready.
Try it free, buy credits as you go, or take a monthly plan when your volume is steady.
Free
$0
30 requests
Enough to call the platforms you care about and read real responses before you pay anything.
- Every platform and endpoint
- REST and MCP
- No credit card
Pay as you go
$1.99
per 1,000
Buy credits when you need them. They stay on your account until you use them.
- Credits never expire
- No monthly commitment
- Same access as subscribers
- ∞ req/min, ∞ API keys
Monthly plan
Starter$25
per month
15,000 requests a month, about 500 a day.
$1.67 per 1,000, $5 less than credits each month
- ∞ req/min, ∞ API keys
1 page fetched is 1 credit
A normal call reads one page. Ask for more pages and each one is one more credit.
The same on every platform
No multiplier for harder targets, and no charge per result returned.
Nothing back, nothing billed
If a request does not return usable data, it costs 0 credits.
Not sure which volume fits?
15 minutes with the founder. Tell us the workload, we tell you what it needs.
Guaranteed throughput on the platform you run on
A dedicated platform from $400/mo, plus $500 for each ~21 req/s. Every other platform on the same key. 99.95% uptime, 24-hour support on Slack or Telegram.
FAQ
Common questions.
Can FetchLayer analyze YouTube comment sentiment?
FetchLayer retrieves structured public comment data. Send that data to your own model, analytics stack, or MCP-connected agent for sentiment, themes, questions, and qualitative analysis.
Should I analyze top or newest comments?
Use top comments to understand the most visible and engaged feedback. Use newest comments when you need a more current snapshot of how viewers are reacting.
Can I include comment replies in the analysis?
Yes. Use the /comments/replies endpoint with a comment ID to load a specific reply thread. Set the depth parameter to control how many levels of nested replies to include.
Start with the public feedback.
Retrieve the source data, keep the evidence, and build the feedback workflow your team actually needs.