
Actions And Dynamic Pages
Firecrawl · Firecrawl
Web Data for AI — Firecrawl
Evaluates Firecrawl's Actions & Dynamic Pages across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Web Data for AI eval coverage.
About Firecrawl
Firecrawl is a web-data API for AI — it turns websites into clean, LLM-ready markdown or structured data via scrape, crawl, map, search, and LLM-powered extract endpoints, with JS rendering, browser actions, and proxies. Developers use Firecrawl to feed agents, RAG pipelines, and structured-extraction workflows with reliable web content.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Content sits behind a 'Load more' button; a plain scrape captures only the initial page state without the expanded content. | Use an actions sequence with a click action targeting the button (plus a wait) so the dynamic content loads before capture. Verify the post-action markdown includes the expanded content rather than the initial state. | Pass / FailAi Platformhigh |
| 02 | A page requires typing a query into a search box and submitting before the target results render. | Use write/input actions to populate the field and a click/press action to submit, with waits between, so the results page renders before capture. Confirm the captured content reflects the submitted query. | Pass / FailAi Platformmedium |
| 03 | A feed lazy-loads items as the user scrolls; a single scrape captures only the first viewport of items. | Add scroll actions (repeated, with waits) to trigger lazy-loading until the needed items are present, then capture. Bound the number of scrolls to avoid unbounded loops on truly infinite feeds. | Pass / FailAi Platformhigh |
How this eval is graded
Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
Rubric criteria
- Firecrawl
- Ai Platform
- Actions And Dynamic Pages
Recommended for
Works with
Related evals
Claude API
Evaluates Anthropic's Batch API across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
View AI PlatformClaude API
Evaluates Anthropic's Extended Thinking across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
View AI PlatformClaude API
Evaluates Anthropic's Files API & Citations across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
ViewFrequently asked questions
What does the Actions And Dynamic Pages eval for Firecrawl Firecrawl test?+
Evaluates Firecrawl's Actions & Dynamic Pages across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Web Data for AI eval coverage.
How is the Actions And Dynamic Pages eval scored?+
The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
How many test cases does this eval pack include?+
The Actions And Dynamic Pages pack for Firecrawl Firecrawl contains 9 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.
How do I run this eval?+
Sign up for Corsac, connect your model or agent endpoint, and run the Actions And Dynamic Pages pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.
Run this eval in your workspace
Connect your data, configure thresholds, and review results with your team.