fetchlayer.dev Sign in Social data infrastructure
for listening & monitoring products.
The API layer behind brand monitoring, lead monitoring, and social listening tools. Posts, comments, and replies as structured JSON — built to run at the volume, and the uptime, your product needs.
Reddit and X/Twitter are live today. YouTube and App Store endpoints are already live under the same account — see the full platform coverage.
Trusted by developers shipping real products.
270,750 served today
Built for
The infrastructure behind listening products, not another scraping company.
If your product's entire business depends on public social data, you need a data layer built for that — not a generic scraper you happened to find.
Social listening platforms
Track mentions, sentiment, and conversations across communities for your customers, at their scale.
Brand monitoring tools
Surface mentions, complaints, and praise the moment they're posted — across every platform you cover.
Lead & signal monitoring
Turn buying-intent posts and public conversations into a live feed of leads for your customers' sales teams.
Market research products
Aggregate public discussion into trend reports and dashboards without running your own crawler fleet.
What you get
Everything a listening product is actually built on.
Not a scraping service you wrap in your own reliability layer — infrastructure designed for the shape of a monitoring product from the start.
Posts, comments & replies
Full thread bodies with author, engagement, and timestamp metadata — not just the top-level post.
Structured JSON, always
The same typed schema on every call. No HTML to parse, no markup to reverse-engineer when a platform redesigns.
Search built for listening
Keyword, subreddit, handle, and date-range search — the primitives a monitoring feature is actually built on.
Monitoring, not one-off pulls
Sort by newest, poll on your own schedule, and get consistent results back — designed to run continuously, not to be called once.
High-volume access
From a few hundred requests a day to sustained, continuous polling across thousands of keywords — same API, same JSON shape.
No scrapers or proxies to run
No headless browsers, no proxy pools, no CAPTCHA solving, no on-call rotation for when a platform changes its markup.
Second-source & fallback ready
Drop us in behind an existing pipeline. Route to FetchLayer when your primary source rate-limits or goes down — same data model, no rework.
Cheaper than legacy providers
Metered, self-serve pricing instead of per-seat contracts. Pay for the requests you make, not for a seat count that has nothing to do with your product.
Enterprise-grade when you need it
Infrastructure dedicated to your account, sized to your throughput, with priority support — for when shared infrastructure isn't enough anymore.
Coverage
Reddit + X today. YouTube and App Store already live.
One unified API surface — same auth, same JSON shape, same integration — across every platform we add. Build the listening feature once, extend platform coverage without rework.
Your listening product is only as reliable as its weakest data source.
If you already have a data pipeline, you don't need to rip it out to get redundancy. Route the queries that fail — rate-limited, blocked, or slow — to FetchLayer, and fail back automatically once your primary source recovers.
- Same JSON shape as most scraping-based pipelines — mapping a fallback path is usually a few fields, not a rewrite.
- Free tier is enough to build and test the failover path before it ever needs to carry production traffic.
- Scale it into the primary source later, or leave it as the fallback indefinitely — the pricing works either way.
// fall back when the primary source errors or rate-limits async function searchMentions(query: string) { try { return await primarySource.search(query); } catch (err) { // second source: same shape, different vendor return await fetchlayer.reddit.search({ query }); } }
Compared to the alternatives
Built for a listening product, not adapted into one.
Legacy listening data providers, official platform APIs, and generic scrapers all make you trade something. This is what the tradeoff usually looks like.
| FetchLayerus | Legacy listening providers | Official platform APIs | Generic scrapers | |
|---|---|---|---|---|
| Structured JSON | ✓ | ✓ | varies | you parse |
| Posts + comments + replies | ✓ | tier-dependent | limited | depends |
| Self-serve pricing | ✓ | sales call | varies | ✓ |
| Priced per request, not per seat | ✓ | ✗ | n/a | ✓ |
| No scraper maintenance | ✓ | ✓ | ✓ | ✗ |
| Usable as a second source | ✓ | rarely | n/a | DIY |
| Dedicated infrastructure available | ✓ | enterprise only | n/a | ✗ |
| Setup time | 2 min | weeks (sales cycle) | 1–2 hours | days–weeks |
When your product outgrows shared infrastructure.
Once a listening product has real customers pulling sustained volume, it needs infrastructure sized for that — not a shared pool with everyone else's traffic. Enterprise and Unlimited plans run on infrastructure dedicated to your account, with no per-minute rate limit and priority support.
See Enterprise infrastructure5M
Requests / mo
Enterprise, from $900/mo
∞
Fair-use cap
Unlimited, from $1,400/mo
0
Shared traffic
Infrastructure dedicated to you
1–3h
Time to live
From checkout to dedicated capacity
Pricing
Start free. Scale when ready.
Pay per request with no commitment, or lock in a flat monthly rate with built-in savings.
Free plan — 30 requests
Verify responses, inspect the API, no credit card required.
Pay as you go
$1.99
per 1,000 requests
$0.00199 per request · credits never expire
How credits work — no multipliers
One credit = one API call, on every endpoint and platform. No matter how many results come back, you pay for the call, not the output size. Most scraping APIs charge multipliers of 5x, 25x, even 75x per call depending on the target — here it's always 1.
- No multipliers — 1 request = 1 credit
- No monthly commitment
- Credits never expire
- Same API & MCP access as subscribers
- ∞ req/min, ∞ API keys
∞
Expiry
Credits stay until you use them. No monthly reset, no pressure to hit a quota.
0
Commitments
No subscription, no contract, no minimums. Start, pause, or scale whenever.
100%
Access
Every endpoint and MCP included. Not a limited tier — same data as any subscriber.
FAQ
Common questions.
What is FetchLayer's social listening API?
FetchLayer is the data infrastructure behind social listening, brand monitoring, and lead monitoring products. Instead of building and maintaining your own scrapers, your product calls one API and gets structured JSON for posts, comments, and replies across supported platforms — with the search and monitoring primitives a listening product actually needs.
Which platforms are covered today, and what's next?
Reddit and X/Twitter are live today — full post, comment, reply, and search coverage. YouTube (comments) and App Store (reviews) are already live as separate endpoints under the same account, so you can add them to a listening product without a second integration. Every platform shares the same auth, JSON shape, and rate-limit model.
How is this different from an official platform API?
Official APIs are built for the platform's own ecosystem first — narrow access tiers, developer approval processes, and search/history limits that make them a poor fit for a monitoring product. FetchLayer gives you consistent, structured access designed around search and monitoring use cases, without an approval process or platform-specific quirks to work around.
How is this different from a generic scraper or proxy service?
A scraper or proxy pool gives you raw HTML and the job of parsing it, rotating IPs, and fixing things when a platform changes its markup. FetchLayer is a hosted API: structured JSON in, no proxies or browser sessions to run, and no scraper maintenance when a platform ships a redesign — that's on us, not on your on-call rotation.
Can I use this as a second source or failover for my existing pipeline?
Yes — this is one of the most common reasons listening products add FetchLayer. If your primary data source rate-limits, degrades, or goes down, you can route affected queries to FetchLayer without changing your product's data model. Several customers run us as the fallback path today and only fail over automatically when their primary source errors.
What does each result actually include?
Full post/comment/reply bodies, author and engagement metadata (score, reply count, timestamps), thread context, and platform-specific fields (subreddit, tweet metrics, review rating, video ID) — the same fields a human moderator reviewing the source page would see, returned as typed JSON instead of scraped text.
How much volume can it handle?
Shared infrastructure comfortably handles the polling patterns most monitoring products run — per-minute or per-hour sweeps across hundreds of keywords. For sustained, high-throughput ingestion (continuous polling across thousands of keywords or accounts), Enterprise and Unlimited plans run on infrastructure dedicated to your account, sized to your expected pattern during onboarding.
What does it cost, and how does that compare to legacy listening data providers?
Free tier includes 30 requests to test. Pay-as-you-go is $1.99 per 1,000 requests. Subscriptions start at $25/month for 15,000 requests. Dedicated infrastructure starts at $900/month for 5,000,000 requests, with an unlimited-fair-use tier at $1,400/month. Most legacy social data providers price per-seat or per-mention with opaque enterprise contracts — FetchLayer is metered, self-serve, and the price per request is fixed regardless of your volume.
Do I need dedicated infrastructure to start, or does shared work fine?
Start on shared infrastructure — it's what the Free and subscription tiers run on, and it's enough to validate a monitoring workflow end to end. Move to a dedicated Enterprise or Unlimited plan once your product has real customers pulling sustained volume; migration keeps the same API keys and JSON shape, so nothing in your integration changes.
Is this legal to build a commercial monitoring product on?
We access only publicly available information — the same posts, comments, and reviews any browser can see without logging in. We don't bypass authentication, access private content, or violate platform terms of service on your behalf. If you have questions about your specific product, consult your own legal counsel.
Build your listening product on infrastructure that expects to be one.
Start on the free tier, wire up a second source in an afternoon, and move to dedicated infrastructure when your volume asks for it.
Used by developers at
Individual developers or teams — not official partnerships