Developer Tools & APIs

Structural quality mattered most when pages were noisy or JavaScript-heavy. Skyvern won the web-scraping tests by producing the best structure across a cluttered recipe blog, a JS-heavy Nike product page, and a protected Glassdoor jobs page. The tradeoff was slower runs and some recording-sync fragility.

For PDF-to-markdown, consistency across document types was the decisive trait. Extend AI was the most consistent across a hybrid annual report, a table-heavy financial report, and an image-only scanned research paper. That made it the production-ready default choice in the test set.

Resume parsing splits into two different winning shapes: broad configurable extraction and schema-first JSON mapping. Affinda was presented as a professional-grade parser with 100+ configurable fields, EMSI skill metadata, and both UI and REST access, which points to a broad platform use case. Extracta.ai won the structured-JSON category by being strong when the field schema is known up front, but it could silently drop out-of-schema data or map values to the wrong field.

Resume parsers have to survive layout variation, not just clean PDFs. The resume tests were built around clean single-column resumes, multi-column sidebar resumes, messy real-world resumes, and in one ranking OCR-only inputs as well. That means multi-layout robustness and consistent JSON output were central evaluation criteria, not edge cases.