OnCrawl

Overview

OnCrawl takes a distinctive approach to technical SEO by treating it as a data science problem. While most crawlers focus on identifying issues and generating reports, OnCrawl enables users to correlate crawl data with server log files and search performance metrics, revealing insights that no single data source could provide on its own. This makes it possible to understand not just what issues exist, but how they affect search engine behavior and organic performance.

Founded in 2013 in Bordeaux, France, OnCrawl has built a loyal following among technical SEO professionals who value data depth over simplified dashboards. The platform is designed for practitioners who are comfortable working with large datasets and want the flexibility to explore correlations and build custom analyses.

Key Features

The crawling engine handles sites of significant scale with full JavaScript rendering support. Crawl data covers all standard technical SEO elements: status codes, canonicals, hreflang, structured data, page speed metrics, content quality indicators, and internal linking patterns.

Log file analysis is OnCrawl’s signature capability. By ingesting server logs, the platform tracks how search engine bots actually interact with a site — which pages they crawl most frequently, which they ignore, how crawl budget is distributed, and how bot behavior changes over time. This data is correlated with crawl findings to reveal issues like pages that bots cannot reach, crawl traps that waste budget, or indexation delays.

The cross-data analysis feature combines crawl data, log data, and Search Console metrics into unified views. Users can segment pages by any attribute and compare how different segments perform across all data sources. For example, you might discover that pages with certain content patterns receive more Googlebot visits and rank better.

The API enables exporting raw data for custom analysis in tools like BigQuery, Python, or data visualization platforms.

Pricing

OnCrawl offers plans starting at $69 per month for the Explorer tier, which covers basic crawling for smaller sites. The Business plan at $169 per month adds log analysis and more crawl capacity. The Enterprise plan starts at $399 per month with full features, advanced data capabilities, and dedicated support. Pricing scales with the number of URLs crawled and log lines analyzed.

Ideal Use Cases

OnCrawl is ideal for technical SEO teams at mid-to-large organizations who want to move beyond basic issue detection into data-driven optimization. Publishers and e-commerce sites with millions of pages benefit from understanding crawl budget allocation through log analysis. SEO consultants who differentiate on analytical depth use OnCrawl to deliver insights competitors cannot replicate with simpler tools.

Limitations

OnCrawl’s data-centric approach is its greatest strength and its main barrier. Teams without data literacy or technical SEO experience will find the platform overwhelming. Setting up log file analysis requires server access and technical configuration. The interface prioritizes data density over simplicity, which slows onboarding. Pricing can increase significantly for large sites with heavy log volumes. The platform does not provide automated fixes or guided workflows for users who prefer actionable task lists over raw data exploration.