Oncrawl
Technical SEOEnterprise crawler with data science SEO approach
Overview
Oncrawl positions itself as the technical SEO crawler for data scientists and enterprise teams who need more than basic site auditing. Built by a French team since 2013, it combines traditional crawling capabilities with machine learning analytics and deep log file analysis. While tools like Screaming Frog dominate the desktop crawling market, Oncrawl targets organizations that need to understand not just what's broken on their sites, but why certain technical issues impact organic performance more than others.
The platform's core differentiator is its data science approach to technical SEO. Instead of just flagging duplicate titles or missing meta descriptions, Oncrawl uses statistical analysis to identify which technical issues correlate most strongly with ranking drops or crawl budget waste. This makes it particularly valuable for large sites where fixing every technical issue isn't realistic, and teams need to prioritize based on actual SEO impact.
Oncrawl's log analysis capabilities set it apart from most crawlers. By integrating server logs with crawl data, it reveals how search engines actually behave on your site versus how you think they should behave. This combination helps identify crawl budget optimization opportunities that pure crawlers miss.
Key features
Data Science Approach
Uses machine learning and statistical analysis to identify technical SEO patterns and correlations that traditional crawlers miss.
Log File Analysis
Deep integration with server logs to understand search engine crawling behavior and identify crawl budget optimization opportunities.
Custom Crawling Rules
Advanced crawl configuration with custom rules for complex sites including JavaScript rendering and authentication flows.
API Integration
Comprehensive REST API for integrating crawl data with business intelligence tools and custom analytics dashboards.
Cross-Site Analysis
Compare technical metrics across multiple websites or subdomains to identify architectural patterns and optimization opportunities.
Predictive Analytics
Machine learning models predict technical SEO impact and prioritize fixes based on potential organic traffic gains.
Pricing
| Plan | Price | Includes |
|---|---|---|
| Starter | Custom | Basic crawling, core audits, limited logs |
| Professional | Custom | Advanced crawling, full log analysis, API access |
| Enterprise | Custom | Unlimited crawling, custom integrations, dedicated support |
FAQ
How does Oncrawl compare to Screaming Frog for enterprise sites?
Oncrawl handles larger crawls better and includes log analysis plus machine learning insights, while Screaming Frog is faster for smaller audits. Oncrawl is cloud-based versus Screaming Frog's desktop approach.
Does Oncrawl work with JavaScript-heavy sites?
Yes, Oncrawl renders JavaScript during crawls and can analyze both server-side and client-side content. It's particularly strong at identifying rendering issues that affect search engine crawling.
What's included in Oncrawl's log analysis features?
Log analysis covers crawl budget analysis, bot behavior patterns, HTTP status tracking, and correlation between crawling frequency and ranking performance. It integrates directly with major CDNs and hosting providers.
Can Oncrawl integrate with Google Search Console data?
Yes, Oncrawl pulls Search Console data to correlate technical issues with actual search performance metrics like impressions, clicks, and crawl errors.
Is Oncrawl suitable for agencies managing multiple clients?
Oncrawl is designed for enterprise use with multi-site management, white-label reporting, and role-based access controls. Most agencies find it cost-effective for clients with large, complex sites.
Review Sentiment
28 reviews across 1 source
Bottom line
Oncrawl earns its 4.3/5 with enterprise crawler with data science capabilities, making it a strong pick for technical SEOs. The main consideration: custom enterprise pricing is prohibitively expensive for SMBs.
People love
- +Enterprise crawler with data science capabilities for petabyte-scale technical SEO
- +Log file analyzer maps Googlebot crawl patterns at the individual URL level
- +Segmentation features enable analysis of specific site sections and page types
Common complaints
- –Custom enterprise pricing is prohibitively expensive for SMBs
- –Customer support has received criticism for slow and unreliable responses
- –Steep learning curve requires both technical SEO and data analysis expertise
Last updated Feb 2026