Why is my Firecrawl crawl returning a job ID instead of data?

Firecrawl uses an asynchronous model for crawls. You must capture the job ID and poll the status endpoint until the job state is 'completed' to retrieve the actual data.

What is the difference between scrapeUrl and crawlUrl?

scrapeUrl is for individual pages and is typically synchronous, while crawlUrl is designed for multi-page discovery and operates asynchronously with a job-based polling system.

How can I prevent Firecrawl from burning through my credits?

Always set explicit 'limit' parameters, define 'maxDepth', and use 'includePaths' or 'excludePaths' to prevent the crawler from wandering into irrelevant sections of a large website.

Why is my markdown output empty or missing content?

This often occurs with JavaScript-heavy Single Page Applications (SPAs). You should increase the 'waitFor' parameter to allow the page to fully render before the scraper captures the content.

Firecrawl Best Practices & Pitfalls

Name: Firecrawl Best Practices & Pitfalls
Author: micsapp

bymicsapp

0•

ウェブスクレイピングとデータ収集

Identifies and prevents common Firecrawl integration mistakes to optimize credit usage and data extraction quality.

This skill acts as a specialized auditor for Firecrawl integrations, helping developers avoid costly mistakes such as credit depletion on large sites, improper async job handling, and incorrect output formatting. It provides actionable guidance on configuring JavaScript rendering timeouts and enforcing crawl limits, ensuring that web scraping tasks are efficient, cost-effective, and robust against common failures in modern web environments.

主な機能

01Best practices for async job polling and rate limit compliance

02Guidance on JavaScript rendering and content wait times for SPAs

03Detection of synchronous crawl anti-patterns in async workflows

04Standardization of output formats like Markdown and clean text

050 GitHub stars

06Optimization of credit usage via crawl limits and URL filters

ユースケース

01Auditing scraping scripts to prevent excessive credit consumption on large domains

02Reviewing existing Firecrawl code for performance and cost bottlenecks

03Onboarding developers new to the Firecrawl API and async scraping models

主な機能

01Best practices for async job polling and rate limit compliance

02Guidance on JavaScript rendering and content wait times for SPAs

03Detection of synchronous crawl anti-patterns in async workflows

04Standardization of output formats like Markdown and clean text

050 GitHub stars

06Optimization of credit usage via crawl limits and URL filters

ユースケース

01Auditing scraping scripts to prevent excessive credit consumption on large domains

02Reviewing existing Firecrawl code for performance and cost bottlenecks

03Onboarding developers new to the Firecrawl API and async scraping models