7 Best Scraping Intelligence Alternatives in 2026
Scraping Intelligence builds custom crawlers and delivers structured data - all behind a quote-based pricing wall. That works for enterprises with six-figure data budgets and patience for a sales cycle. For everyone else, the lack of transparent pricing and self-serve access is a dealbreaker.
Here's the thing: half the teams we talk to who are evaluating managed scraping services don't actually need a scraper. They need the data that scraping produces - verified emails, phone numbers, firmographics - and there's a much faster way to get it.
Below are seven alternatives, from managed services to APIs to a B2B data platform that skips scraping entirely.
What Is Scraping Intelligence?
Scraping Intelligence is a managed scraping provider offering AI-powered data extraction, custom crawlers, and real-time data feeds across industries like ecommerce, real estate, and finance. The web scraping market hit $1.03 billion in 2025 and is growing at roughly 14% annually, so competitors are everywhere. The core limitation: no public pricing, no self-serve option, and no obvious way to spin up a quick test run without going through a sales conversation first.
Why People Switch
Quote fatigue. Every project starts with a call, a scoping exercise, and a custom proposal. Teams that need data this week can't wait two weeks for a number.
Self-serve speed. APIs and platforms let you pull data in minutes. On Reddit, price transparency and fast setup come up constantly in threads about choosing scraping tools - the consensus on r/webscraping is that if you can't test a tool in under an hour, it's already lost.
Use-case mismatch. If you're scraping the web to build prospect lists, you don't need a general-purpose crawler. You need a B2B data platform.
Our Picks (TL;DR)
- Prospeo - Best for B2B contact data. 300M+ verified contacts at ~$0.01/email, no crawlers needed.
- CrawlNow - Best managed web scraping. 5.0/5 on G2 with 95 reviews, starting at $449/mo.
- ScrapeHero - Best value with transparent pricing. Self-serve from free, managed from $199/mo.
Most teams evaluating scraping services just need verified B2B contact data. Prospeo delivers 300M+ profiles, 143M+ emails at 98% accuracy, and 125M+ mobile numbers - refreshed every 7 days, not 6 weeks. No crawlers to build. No quotes to wait on. Start free.
Get the data scraping produces without building a single crawler.
Top Scraping Intelligence Alternatives Compared
Prospeo - Skip Scraping for B2B Data
If you're building prospect lists, enriching CRM records, or finding verified emails and phone numbers, you don't need a web scraper. You need the output that scraping produces - and Prospeo gives you that directly.
The database covers 300M+ professional profiles, 143M+ verified emails, and 125M+ verified mobile numbers. Email accuracy runs 98% with a 7-day data refresh cycle, while most competitors refresh every four to six weeks. You get 30+ search filters including buyer intent powered by Bombora, technographics, job changes, and funding signals. The proprietary email-finding infrastructure doesn't rely on third-party providers, which is why teams using Prospeo report bounce rates under 4% - a massive difference from the 30-40% bounce rates that plague outbound campaigns built on stale data.
Use this if: Your scraping use case is B2B contact data for sales outreach. No crawler infrastructure required.
Skip this if: You need custom data like product pricing, review scraping, or inventory monitoring. That's a different problem entirely.
Pricing starts free with 75 emails/month, and paid plans run roughly $0.01 per email. No contracts, no sales calls.
CrawlNow - Best Managed Scraping
CrawlNow is the closest direct replacement for Scraping Intelligence, and its review consistency tells a story that's hard to ignore: a perfect 5.0/5 on G2 across 95 reviews with 100% five-star ratings. They handle crawler design, setup, maintenance, and QA end-to-end, with flexible scheduling from hourly to monthly refreshes.
The tradeoff is that scope alignment takes a few rounds before delivery stabilizes - expect some back-and-forth on your first project. And starting at $449/mo for recurring crawls ($799 for one-time jobs), it's not cheap for simple projects. But we've seen managed scraping vendors ghost clients after the contract is signed. CrawlNow's track record suggests that's not a concern here.
ScrapeHero - Most Transparent Pricing
ScrapeHero is the only tool on this list where you see exactly what you'll pay before talking to anyone. Managed service starts at $199/mo per website, scaling to $8,000/mo for Enterprise Premium with dedicated resources. The self-serve cloud platform starts free at 400 data credits/month, with paid tiers from $5 to $750/mo. Need a one-off? $550 per website per refresh, no subscription.
The catch: "data credits" on the self-serve side are confusing - what a credit equals depends on the scraper. Enterprise tiers also add per-million-page costs ($500-$2,200, varying by tier) that can surprise you at scale. Still, the dual model - managed for complex projects, self-serve for quick jobs - handles more use cases than most competitors.
Datamam - Enterprise Data Intelligence
G2 reviewers praise Datamam's team for patching scrapers "within hours" when target sites change layouts. That responsiveness matters - broken scrapers are the silent killer of data pipelines. They hold a 5.0/5 across 78 reviews.
Skip this if you want published pricing or self-serve access. Datamam is quote-based and enterprise-focused, so expect $3,000-$6,000/mo for ongoing data feeds. For teams with budget and complex extraction needs, though, the support quality is a genuine differentiator.
Ficstar - Project-Based Managed Scraping
Toronto-based Ficstar serves 200+ companies and works best for defined, one-time scraping projects. Starting price is $1,000 per Capterra, with a 5.0/5 rating across 10 reviews.
Skip this if you need ongoing data feeds. Ficstar's pricing is quote-based for recurring work, and the one-time model doesn't scale for continuous monitoring.
ScrapingBee - Lightweight API
ScrapingBee is a self-serve scraping API starting at $49/mo with 1,000 free API calls to test. It handles headless browsers, proxies, and JavaScript rendering - a solid entry point for developers who want their own pipeline without managing infrastructure. Their documentation is clean enough that most devs get a working scraper running in under an hour.
Bright Data - Enterprise Infrastructure
Bright Data is the largest infrastructure play in scraping: 150M+ residential IPs, a Web Scraper API priced around $1.50 per 1,000 requests, and entry plans from $499/mo. Overkill for most teams, but if you're scraping at massive scale across protected sites, the proxy network is unmatched.
Let's be honest: most teams evaluating Bright Data don't actually need Bright Data. If you're scraping fewer than 100K pages/month, ScrapingBee or ScrapeHero will cost a fraction and get the job done.
Other tools worth evaluating: Oxylabs for proxy infrastructure, Apify for no-code scraping automation.
Pricing Comparison
| Tool | Type | Starting Price | Free Tier? | Best For |
|---|---|---|---|---|
| Scraping Intelligence | Managed | ~$3,000-$5,000/mo | No | Legacy enterprise contracts |
| Prospeo | B2B data | ~$0.01/email | Yes (75/mo) | B2B contact data |
| CrawlNow | Managed | $449/mo | No | Full-service managed scraping |
| ScrapeHero | Managed + cloud | $199/mo; Free | Yes (400 credits) | Budget-conscious teams |
| Datamam | Managed | ~$3,000-$6,000/mo | No | Enterprise data feeds |
| Ficstar | Managed | $1,000 (one-time) | No | One-time projects |
| ScrapingBee | API | $49/mo | Yes (1K calls) | Developer-built pipelines |
| Bright Data | Proxy + API | $499/mo | No | Massive-scale scraping |
How to Choose the Right Alternative
Ask one question first: do you need a scraper, or do you need the data that scraping produces?
For B2B contact data - emails, phone numbers, firmographics - a dedicated data platform gets you the end result without crawlers, proxies, or maintenance. In our experience, that's the fastest path from zero to verified prospect data for any sales team. One of our customers, Snyk, had 50 AEs spending four to six hours a week prospecting with bounce rates above 35%. After switching to a structured data platform, bounce rates dropped under 5% and AE-sourced pipeline jumped 180%.
For custom web data like pricing, product listings, reviews, or inventory, your choice breaks into three paths. DIY scraping takes two to four weeks to set up and costs $200-$500/mo plus developer time. An API like ScrapingBee gets you running in minutes for $49-$300/mo. A managed service like CrawlNow or ScrapeHero handles everything for $199-$449+/mo with polished, maintained data feeds.
One trend worth watching: AI-native scrapers with self-healing crawlers and LLM-ready output are gaining traction. They won't replace managed services for complex projects yet, but they're closing the gap fast.
Custom scrapers break when sites change. Quote-based pricing stalls your pipeline. Prospeo gives you the B2B output - verified emails, direct dials, firmographics, and intent data across 15,000 topics - at ~$0.01/email with zero infrastructure overhead.
Replace your scraping pipeline with a self-serve search that takes seconds.
FAQ
How much does Scraping Intelligence cost?
Scraping Intelligence uses quote-based pricing with no published rates. Based on industry norms for managed services of similar scope, expect $3,000-$5,000/mo for ongoing data feeds. One-time projects likely start lower but still require a sales conversation.
What's the best free scraping tool?
ScrapeHero Cloud offers a free tier with 400 data credits per month, and ScrapingBee gives 1,000 free API calls. For B2B contact data specifically, Prospeo's free plan includes 75 verified emails per month - no credit card required.
Do I need a scraping tool for B2B prospecting?
No. If your goal is verified emails, phone numbers, and company data for sales outreach, a dedicated B2B data platform is faster and cheaper than building scraping infrastructure. Scraping makes sense for custom data - pricing, product listings, reviews - that doesn't exist in structured databases.