7 Best Crunchbase Scrapers in 2026

In this guide, I’ll break down the seven best Crunchbase scrapers worth using, what they do well, where they fall short, and which one fits your goals without wasting your time or budget!

TL;DR

Bright Data: Best for reliability, scale, and scraping power.
ZenRows: Easiest no-code setup, clean JSON output.
ScrapingBee: Highly customizable, developer-focused, strong JS support.
HasData: True no-code scraping for non-technical users.
Oxylabs: Scalable scraping for huge, protected datasets.
Apify: Customizable, cloud-based scraping for developers.
SerpApi: Fast Google SERP and Crunchbase results.

Top 7 Best Crunchbase Scrapers in 2025

These are the top Crunchbase scrapers that actually work. Each tool handles data extraction differently, so pick the one that fits your needs, scale, and budget:

Bright Data

Bright Data dominates the Crunchbase scraping space because the platform is designed for scale, accuracy, and reliability. The platform delivers unmatched reliability, scale, and unblocking strength, making it the top choice for companies that can’t afford failed requests or inconsistent data.

Massive proxy networks, aggressive anti-bot bypassing, and enterprise-grade infrastructure keep extraction stable even under heavy pressure. Every component focuses on stability, precision, and repeatability, which is exactly what high-volume users need.

Bright Data isn’t the budget option, but it is the option that stops problems before they start and prevents your entire workflow from collapsing.

Key Features:

API Scraper: Offers high-volume, on-demand Crunchbase scraping with structured JSON output.
No-Code Scraper: Lets non-technical users extract Crunchbase data directly from a dashboard.
Auto Unblocking: Handles CAPTCHAs, JavaScript rendering, and blocks automatically.
Bulk Processing: Supports up to 5,000 Crunchbase URLs per trigger.
Delivery Options: Exports to JSON, NDJSON, CSV, API, and webhooks.

Pros

Extremely high success rate
Scales to millions of records without breaking
Enterprise-grade compliance and security
Superior global proxy coverage
Great customer support

Cons

Costly for small budgets
Setup requires basic understanding of scraping

Pricing

Pay-as-you-go: $1.5 / 1K records
Monthly plans: $499–$1,999/mo
Enterprise: custom

ZenRows

ZenRows delivers clean, structured Crunchbase data while keeping things simple for users who don’t want complicated scraping setups. The platform’s design removes friction by automating the messy parts of scraping, allowing users to focus on output rather than infrastructure. Its autoparsing templates, JavaScript rendering, and anti-CAPTCHA engine remove the typical blockers that shut down average scrapers.

Developers and beginners alike rely on ZenRows because the learning curve is practically nonexistent and the API integrates with any workflow instantly. Despite the simplicity, the technology behind the scenes is strong enough to handle real-world workloads.

ZenRows offers a balanced approach that eliminates frustration and accelerates Crunchbase extraction without overwhelming users.

Key Features:

IP Rotation: Switches IPs on every request to avoid blocks.
Browser Emulation: Mimics real user behavior for better scraping success.
Anti-CAPTCHA: Bypasses CAPTCHA challenges automatically.
Multi-Language SDKs: Supports Python, Node, PHP, Java, Go, Ruby, C#.
JS Rendering: Scrapes modern, dynamic Crunchbase pages that load via JavaScript.

Pros

Zero-friction integration
Clean structured JSON output
Great documentation
Ideal for small and mid-scale workloads

Cons

Slower on heavy workloads
Limited control for advanced users
Protected pages cost more credits

Pricing

Free trial: 1,000 basic 40 protected results
Paid plans: $69–$299/mo
Enterprise: custom

ScrapingBee

ScrapingBee focuses on developers who want complete control and flexibility when scraping Crunchbase. The platform gives access to real browser rendering, proxy handling, and advanced customization settings. These tools enable precise extraction setups; no handholding is required here. The scraper works best for teams that understand the basics of scraping and want to fine-tune every part of their workflow.

ScrapingBee performs reliably on dynamic and protected Crunchbase pages. Basic scrapers often fail on these pages, but this engine stays consistent. The platform expects competence, yet it rewards users by removing the limitations of simplified scrapers. It delivers real developer-level power without unnecessary restrictions.

Key Features:

JS Rendering: Simulates a full browser environment for dynamic Crunchbase pages.
Proxy Management: Uses rotating and premium proxies automatically.
Extraction Rules: Lets you create custom selectors for targeted data.
High Concurrency: Supports large numbers of simultaneous requests.
Screenshot Support: Captures page images for verification or debugging.

Pros

Highly customizable
Strong for complex scraping tasks
Reliable rendering engine
Solid API performance

Cons

Has a learning curve
Costs rise quickly at scale
Requires coding for best results

Pricing

$49, $99, $249, $599/mo
Free 1,000-credit trial

HasData

HasData delivers an accurate zero-code way to scrape Crunchbase. The platform removes all technical barriers, so users can collect company data quickly without writing code or managing proxies. Templates and automation do most of the work, and the built-in anti-block system handles the tough parts in the background. The workflow stays simple from start to finish, making it strong for lead generation, market research, and business intelligence. Every step focuses on speed and efficiency, not complexity.

Teams without developers rely on HasData because it produces clean, structured data with almost no effort. It brings results quickly, errors stay minimal, and scaling up is easy. The platform keeps the process direct, smooth, and accessible for any user.

Key Features

No-Code Templates: Scrape Crunchbase instantly using prebuilt workflows.
Anti-Blocking: Handles Cloudflare, DataDome, and Akamai automatically.
Cloud Automation: Runs fully in the cloud, no local setup needed.
Multi-Format Output: Delivers data in Excel, CSV, or JSON.
Webhook Delivery: Sends scraped results to any app in real time.

Pros

Perfect for non-technical users
Fast setup and easy workflow
Reliable anti-bot performance
Excellent customer support

Cons

Less control for developers
No deep customization options
Scaling beyond 300K rows gets pricey

Pricing

Free: 100 rows
Startup: $49/mo
Business: $99/mo
Enterprise: $249/mo

Oxylabs

Oxylabs is built for large-scale scraping operations and handles extreme workloads reliably. The infrastructure supports millions of requests and maintains consistent performance. The global IP pool provides constant rotation and prevents detection. The platform prioritizes speed and uptime at all times. Automatic error handling reduces interruptions and keeps tasks running smoothly.

Large organizations rely on Oxylabs because it delivers strong and predictable results. Every system component is designed for demanding workloads. The platform performs under pressure and keeps data moving consistently.

Key Features:

Real Browser Scraping: Executes full JS.
175M Residential IPs: Massive proxy pool.
Bulk Job Handling: Ideal for huge datasets.
Structured Parsing: Converts HTML to JSON.
Retry Logic: Fixes failures automatically.

Pros

Extremely scalable
Great performance
Reliable on protected pages
Super stable proxy network

Cons

Expensive
No no-code tools
More complex than beginner tools

Pricing

Scraper API: starts at $49/mo

Apify

Apify offers a customizable Crunchbase scraper built for developers who want full control. The Actor runs in the cloud and removes the need for local setup. Users adjust the code to match specific extraction goals. Browser simulation handles dynamic elements on Crunchbase pages without failing.

The platform suits technical teams that prefer flexibility over fixed templates. Scaling happens automatically because the runtime adjusts resources during heavy workloads.

The scraper delivers consistent results and supports long-term automation. Teams use it to streamline research tasks and manage enrichment jobs without hitting major limits.

Key Features:

Prebuilt Actor: A ready scraper for Crunchbase.
Editable Code: Customize extraction.
Cloud Runs: Executes jobs in the cloud.
Headless Browsers: Loads dynamic content.
Scheduler: Automates recurring jobs.

Pros

Highly flexible
Runs in the cloud
Great for automation
Affordable

Cons

Requires JavaScript
Not beginner-friendly
Browser jobs burn credits quickly

Pricing

Pay-per-use
Monthly plans from $39–$999

SerpApi

SerpApi specializes in collecting Google SERP data, including Crunchbase listings. The tool extracts structured information from search results quickly. It delivers real-time output that helps teams identify companies without delays. Regional filters allow users to target leads in specific markets. The proxy layer handles Google’s defenses smoothly and prevents search failures. JSON results integrate directly into enrichment pipelines without extra formatting. Market research teams gain clear visibility into company categories and business trends.

The platform is reliable as it updates frequently to match Google’s changes. Workflows become faster and more organized. Lead discovery scales easily and maintains consistent performance.

Key Features:

Google SERP Scraper: Pulls Crunchbase search results.
Real-Time API: Extremely fast outputs.
Structured JSON: Clean output.
Proxy Rotation: Built-in.
Advanced Filters: Region, device, language.

Pros

Great for discovery
Fast
Easy to use
Reliable Google parsing

Cons

Not full profiles
Needs extra steps
Expensive at high volume

Pricing

Free tier
Paid: $75–$250/mo

Conclusion

Crunchbase scraping requires robust tools that can bypass blocks, handle high volumes, and deliver clean, consistent data. Many platforms claim reliability, but only a few actually perform under pressure. Bright Data leads because its infrastructure is powerful and stable at any scale. Other providers fill specific roles, giving teams flexibility depending on technical skill and workload.

Choosing the right scraper saves time, reduces failure rates, and improves data quality. Got questions or want me to review additional tools? Let me know in the comments!