Skrape.ai Pricing, Reviews, Pros & Cons (2026)
Here's the thing about Skrape - most of what's written online is actually about Skrapp.io, a completely different product. Skrapp.io is a B2B email finder with 324 reviews on G2. Skrape.ai is an LLM-powered web scraping API with virtually no review presence on major platforms and no real breakdown of its pricing anywhere. Two different tools, one confusing name. If you're actually looking for a B2B email finder, skip to the bottom of this article.
30-second verdict: Skrape.ai has clean pricing and useful AI-native extraction, but basically no independent reviews and no published benchmark data. It's a reasonable bet for small-scale RAG pipelines. For volume work, Firecrawl is the better pick today.
What Is Skrape.ai?
Skrape.ai is a web scraping API designed around LLM workflows. It converts webpages into clean Markdown or structured JSON, with JavaScript rendering, smart crawling that respects robots.txt, and schema-validated extraction using Zod. The target audience is developers building RAG pipelines, AI agents, and data products - not sales teams hunting for contact info. If you’re comparing other scraping providers, see our roundup of WebScrapingAPI alternatives.
Pricing Breakdown
The credit model is straightforward, but the math shifts depending on which features you use.
| Plan | Price | Credits/mo | Rate Limit |
|---|---|---|---|
| Free Trial | $0 | 50 | 5 req/10s |
| Starter | $15/mo | 3,000 | 10 req/10s |
| Growth | $50/mo | 10,000 | 20 req/10s |
| Pro | $250/mo | 50,000 | 30 req/10s |
Markdown conversion costs 1 credit per page, but AI data extraction costs 5 credits per page. That means the $50/mo Growth plan gets you either 10,000 Markdown pages or just 2,000 AI-extracted pages. Huge difference if structured extraction is your primary use case, and it's the kind of detail that's easy to miss until you're staring at a depleted credit balance mid-month.
Web crawling runs at 1 credit per page.
Pros and Cons
Pros:
- Simple, predictable credit model - no compute-unit math
- AI-native schema-based extraction with Zod validation
- JavaScript rendering support for dynamic pages
- Affordable entry point for testing and small workloads
Cons:
- Zero presence on G2, Capterra, or any review platform we could find - Slashdot's comparison page shows 0 user ratings
- No Proxyway-style benchmark data on success rates (top scraping APIs typically land around 70-93% in published tests)
- Small community and ecosystem compared to Firecrawl or Apify
- AI extraction's 5x credit cost gets restrictive fast at scale
We haven't tested Skrape.ai hands-on ourselves. This review is based on published capabilities and pricing, because independent user reviews simply don't exist yet. That's not necessarily a red flag for a young product, but it does mean you're flying without a safety net if something breaks in production.
If you’re evaluating data quality downstream, it’s also worth thinking about data cleaning before you feed scraped content into a RAG system.
If the Skrape/Skrapp naming mix-up brought you here hunting for B2B contact data, you're not alone. Prospeo gives you 300M+ professional profiles with 98% email accuracy and a 7-day data refresh - no credit-math surprises, no unproven tooling risk.
Start with 75 free verified emails. No contracts, no sales calls.
Skrape.ai vs Firecrawl vs Apify
| Feature | Skrape.ai | Firecrawl | Apify |
|---|---|---|---|
| Entry Plan | $15/mo | $16/mo (billed yearly) | $29/mo |
| Credits/mo | 3,000 | 3,000 | $29 compute spend |
| Volume Plan | $250/mo (50K) | $333/mo (billed yearly, 500K credits) | $199/mo |
| Cost Predictability | High | High | Lower |
| Best For | Small RAG tests | Volume crawling | Prebuilt workflows |
Firecrawl is the closest competitor. Entry pricing is nearly identical, but Firecrawl's volume economics crush Skrape.ai at scale: 500,000 credits/mo for $333/mo versus 50,000 credits/mo for $250/mo. That's roughly 15x more credits for about $83 more per month. If you care about price-per-credit above 10K pages/month, Firecrawl is the obvious choice. One caveat worth noting: Reddit users flag that Firecrawl's crawler doesn't always traverse into deep listing pages - it grabs main pages but misses individual entries.
Apify is the heavyweight. Its prebuilt Actors handle common scraping patterns well, and the infrastructure is battle-tested. But compute-unit pricing makes costs harder to predict, and Reddit threads often describe it as heavier than needed for smaller jobs. Teams running daily RAG refreshes say Apify gets expensive fast. Both Apify and Jina.ai also get blocked on protected sites, which is a real problem for production workloads.
Let's be honest: if your scraping needs are under 5K pages/month, Skrape.ai's simplicity is a genuine advantage. The moment you cross 10K, Firecrawl pulls ahead hard. And if you have engineering resources, a DIY Scrapy pipeline can handle 10K-30K articles/day for roughly $150/mo in infrastructure - a fraction of any paid API.
If you’re building outbound workflows off the back of scraped/enriched data, it helps to map the handoff into a sales engagement process so the data actually gets used.
Who Should Use Skrape.ai
Use it if you're building small-to-mid-scale RAG pipelines, need AI-structured extraction without building your own parsing layer, or want to test with minimal commitment on the free trial.
Skip it if you need high-volume crawling above 50K pages/mo, want a platform with proven reliability backed by real user reviews, or need serious anti-bot handling on heavily protected sites. In our experience, unproven tools work fine for side projects but create headaches the moment a client depends on the output.
Looking for an Email Finder Instead?
Given the Skrape/Skrapp naming confusion, there's a decent chance you landed here looking for B2B email addresses - not a web scraping API. If that's you, Prospeo is worth a look: 300M+ professional profiles with 98% email accuracy and 125M+ verified mobile numbers, all on a 7-day refresh cycle. The free tier gives you 75 emails/month with no contracts and self-serve onboarding. If you want to compare approaches, start with our guide on how to find company contacts and then review B2B email appending services.
Skrape.ai has zero independent reviews and no benchmark data. Prospeo has 15,000+ companies and 40,000+ Chrome extension users proving the data works - with bounce rates under 4% and teams booking 26% more meetings than ZoomInfo.
Stop gambling on unproven tools. Get emails that actually land.
The Verdict
Skrape.ai is promising but unproven. The AI-native extraction and clean pricing are appealing, but the total absence of independent reviews makes it a gamble for anything production-critical. Run your own test on the free trial before committing budget. The web scraping market is projected to reach $2B by 2030 - tools like Skrape.ai are riding a real wave. Whether this one earns its place depends on execution they haven't demonstrated yet.
If you’re here specifically for deliverability outcomes, pair any list-building with an email validation API and keep an eye on email reputation.