クイックスタート
This guide covers every Firecrawl feature:
- はじめる — Create a firecrawl account and set your api key
- How to Use Scrape — Pull llm ready data from single web pages
- How to Use Crawl — Crawl entire websites and follow every link
- 検索機能の使い方 — Search the web for real time web data
- How to Use Map — Run url discovery across individual pages
- How to Use Extract — Extract structured data with natural language prompts
所要時間： 各作品につき5分
このガイドには以下の内容も含まれています。 プロのヒント | よくある間違い | トラブルシューティング | 価格 | 代替案
このガイドを信頼する理由
I have used Firecrawl for over a year and tested every feature covered here.
This tutorial on how to use Firecrawl comes from real hands-on web scraping work.
Firecrawl is an ai powered web crawler that turns websites into clean, llm ready data.
But most users only scratch the surface of what this versatile tool can do.
This guide shows you how to use every major feature, step by step, with screenshots.
Firecrawl Tutorial
This complete Firecrawl tutorial walks you through every feature, from your first api key to advanced batch operations that make you a power user.
ファイヤークロール
Turn any website into clean, structured data with a single api. Firecrawl handles javascript rendering, rate limits, and url discovery so you get llm ready data fast. Start on the free plan — no credit card needed.
Getting Started with Firecrawl
いずれかの機能を使用する前に、この初回設定を完了してください。
約3分かかります。
まずはこちらの簡単な概要をご覧ください。
それでは、各ステップを順を追って見ていきましょう。
ステップ1：アカウントを作成する
Go to the Firecrawl website at https://www.firecrawl.dev.
Click “Sign Up” to open a firecrawl account on the free plan.
メールアドレスを入力し、パスワードを作成してください。
✓ チェックポイント: チェックしてください 受信トレイ 確認メールをお送りします。
Step 2: Install and Set Your API Key
Run pip install firecrawl-py to add the api service to your project.
Copy your api key, then save it as an environment variable for 安全.
ダッシュボードの画面は以下のようになります。
✓ チェックポイント: You should see the main dashboard with your usage and api key.
Step 3: Make Your First Call
Import the FirecrawlApp class and create a firecrawl instance with your key.
Every request hits the base endpoint at https://api.firecrawl.dev/v2.
✅ 完了: You’re ready to scrape, crawl, search, map, and extract data.
How to Use Firecrawl Scraper
Scrape lets you pull clean, llm ready data from a single page with one single api call.
Scrape mode targets individual pages and is ideal for extracting specific details fast.
以下に、その使用方法をステップごとに説明します。
それでは、各ステップを詳しく見ていきましょう。
ステップ1：APIキーを取得する
Create a firecrawl account, then copy your api key from the dashboard.
Store it as an environment variable so your api key stays out of your raw code.
Step 2: Call the Scrape Endpoint
Pass a single url to the .scrape_url() method on your firecrawl instance.
You can request markdown format, raw html, or structured json as the output.
これがその様子です。
✓ チェックポイント: You should see clean markdown for the current page, ready for ai applications.
Step 3: Read the Clean Output
Firecrawl returns clean data with readable 文章, stripped of junk html tags.
✅ 結果: You turned one of the web pages into structured web data with a single api.
💡 プロのヒント: Set the max_age parameter to cache results and skip re-scraping a page that has not changed.
How to Use Firecrawl Crawler
Crawl lets you crawl entire websites and follow links automatically without a sitemap.
Crawl mode lets you crawl websites across multiple pages and collect every reachable page.
以下に、その使用方法をステップごとに説明します。
それでは、各ステップを詳しく見ていきましょう。
Step 1: Point at a Root URL
Give the crawl endpoint a starting url such as https://example.com.
Firecrawl handles web crawling through links and follows pages on its own.
Step 2: Start the Crawl Job
Launch the crawl job and grab the returned job id to track progress.
Use the job id to poll status and pull crawled data as each page finishes.
これがその様子です。
✓ チェックポイント: You should see scraped pages from across the site building into web data.
ステップ3：結果をエクスポートする
Collect every page as markdown or structured json for your data pipelines.
✅ 結果: You captured an entire site, even complex websites with dynamic content.
💡 プロのヒント: Firecrawl uses batch processing and concurrent browsers, so large crawl operations stay fast.
How to Use Firecrawl Search Engine
検索 lets you search the web and return clean results you can feed straight into ai agents.
Search lets you query the web and pull back real time web data as readable text.
以下に、その使用方法をステップごとに説明します。
それでは、各ステップを詳しく見ていきましょう。
Step 1: Send a Query
Call the search endpoint with a plain natural language query.
Firecrawl can search the web across news websites, job boards, and review sites.
ステップ2：出力形式を選択する
Ask for markdown format or structured json for each result.
Every result arrives as clean data, not noisy raw html.
これがその様子です。
✓ チェックポイント: You should see ranked web pages returned as structured web data.
Step 3: Pipe Into Your App
Feed the structured data into AIアシスタント or ai workflows.
✅ 結果: You added live web content to your ai applications in a single api call.
💡 プロのヒント: Pair search with extract to gather news articles for market research or competitive intelligence.
How to Use Firecrawl Advanced Map
Map lets you run url discovery and turn one domain into a full map of individual pages.
Map mode retrieves every url on a site quickly for fast url discovery.
以下に、その使用方法をステップごとに説明します。
それでは、各ステップを詳しく見ていきましょう。
Step 1: Submit the Domain
Pass a single root url to the map endpoint.
Firecrawl returns every link without needing a sitemap.
Step 2: Review the URL List
Scan the returned individual pages before you scrape them.
Save the list to a csv file to plan your data extraction.
これがその様子です。
✓ チェックポイント: You should see a full sitemap of web pages from one single url.
Step 3: Select What to Scrape
Pick the pages you want, then send them to scrape or crawl.
✅ 結果: You mapped the whole site, ready for targeted web scraping.
💡 プロのヒント: Map first on dynamic websites and web apps to avoid wasting credits on pages you do not need.
How to Use Firecrawl Extractor
抽出する lets you extract structured data from any page using natural language prompts.
Extract uses ai powered parsing to pull exactly the fields you describe.
以下に、その使用方法をステップごとに説明します。
それでは、各ステップを詳しく見ていきましょう。
Step 1: Define a Schema
Write a Pydantic model with: from pydantic import BaseModel.
Schema based extraction tells Firecrawl which fields to return as structured json.
Step 2: Describe the Data
Add natural language prompts for fields a schema cannot capture.
This is how you extract data from web pages without writing parsing rules.
これがその様子です。
✓ チェックポイント: You should see tidy structured data instead of messy html tags.
Step 3: Receive Structured JSON
Firecrawl returns clean structured json ready for training data.
✅ 結果: You replaced fragile scrapers with one extract call and less data cleaning.
💡 プロのヒント: Use only_main_content, include_tags, and exclude_tags to keep the extracted web data focused.
Firecrawl Pro Tips and Shortcuts
After testing Firecrawl for over a year, here are my best tips for cleaner data extraction.
キーボードショートカット
| アクション | ショートカット |
|---|---|
| Run scrape in playground | Ctrl + Enter |
| Copy api key | Ctrl + C |
| Open docs | Ctrl + K |
| Switch output format | タブ |
ほとんどの人が見逃す隠れた機能
- max_age caching: Reuse recent crawled data for faster, cheaper repeat scraping.
- Browser actions: Click, scroll, and type to reach content behind javascript rendering.
- Async batching: Process thousands of urls with batch processing without blocking your web apps.
Firecrawl Common Mistakes to Avoid
Mistake #1: Hardcoding your API key
❌ 間違い: Pasting your api key directly into shared code or a public repo.
✅ 右: Load the key from an environment variable so it stays private.
Mistake #2: Crawling before mapping
❌ 間違い: Crawling entire websites blindly and burning credits on junk pages.
✅ 右: Run url discovery with map first, then crawl only the pages you need.
Mistake #3: Parsing raw html yourself
❌ 間違い: Writing brittle rules to clean raw html and strip html tags by hand.
✅ 右: Use schema based extraction to get clean structured json directly.
Firecrawl Troubleshooting
Problem: 401 unauthorized errors
原因： Your api key is missing or not loaded from the environment variable.
修理： Re-export the key, then recreate your firecrawl instance and retry.
Problem: Timeout errors on complex websites
原因： Heavy javascript rendering or dynamic content takes longer to load.
修理： Add a wait action so the current page finishes loading before capture.
Problem: Hitting rate limits
原因： Too many requests at once on the free plan or a lower tier.
修理： Slow batch operations or upgrade for more concurrent browsers.
📌 注記： If none of these fix your issue, contact Firecrawl support.
Firecrawl とは何ですか?
ファイヤークロール is an ai powered web scraping tool that turns websites into clean, structured data.
Think of it as a web crawler that hands ai agents readable text instead of messy raw html.
Firecrawl was developed by Mendable.ai to reduce token waste for ai applications.
こちらの簡単な概要をご覧ください。
主な機能は以下のとおりです。
- スクレイピング: Extract data from single web pages as markdown format or structured json.
- クロール： Crawl entire websites and follow links without a sitemap.
- 検索： Search the web and return clean data from news websites and review sites.
- 地図： Fast url discovery that turns one domain into a full sitemap.
- Extract: Pull structured web data using natural language prompts and Pydantic schemas.
Firecrawl beats traditional web scraping by handling proxies, rate limits, and javascript rendering for you.
Unlike traditional tools that need Selenium, it serves data scientists and developers through one api service.
詳細なレビューについては、こちらをご覧ください。 Firecrawl review.
ファイヤークロール料金
Here’s what Firecrawl costs in 2026:
| プラン | 価格 | 最適な用途 |
|---|---|---|
| 無料 | 無料 | Testing scrape and crawl on a few pages |
| 趣味 | 月額16ドル | Solo developers and small data pipelines |
| 標準 | 月額83ドル | Teams running regular web crawling jobs |
| 成長 | 月額333ドル | High-volume market research and monitoring |
無料トライアル: Yes — the free plan lets you scrape a limited number of pages.
返金保証: No formal guarantee, but you can downgrade anytime.
💰 最もお得な価格: Standard — best balance of credits and concurrent browsers for most teams.
ファイヤークロール vs 代替案
How does Firecrawl compare? Here’s the competitive landscape:
| 道具 | 最適な用途 | 価格 | 評価 |
|---|---|---|---|
| ファイヤークロール | AI-ready clean data | 月額16ドル | ⭐ 3.5 |
| アピファイ | Prebuilt actors | 月額49ドル | ⭐ 4.5 |
| ブライトデータ | Proxy scale | $ Custom | ⭐ 4.6 |
| クロール4AI | オープンソース | 無料 | ⭐ 4.4 |
| スクレイピー | Python control | 無料 | ⭐ 4.5 |
| スクレイプグラフAI | LLM graph scraping | 月額20ドル | ⭐ 4.3 |
おすすめ商品：
- 総合ベスト： Firecrawl — cleanest llm ready data from a single api.
- ベスト予算： Crawl4AI — free and open source for hands-on data scientists.
- 初心者におすすめ： Firecrawl — natural language prompts hide the hard parts.
- Best for proxy scale: Bright Data — huge proxy pool for complex websites.
🎯 Firecrawl Alternatives
Firecrawlの代替案をお探しですか？おすすめの選択肢はこちらです。
- 🚀 Apify: Marketplace of prebuilt actors for web scraping, good when you want ready-made scrapers over a single api.
- 🏢 ブライトデータ: Enterprise proxy network for huge crawl jobs and content monitoring at scale across dynamic websites.
- 💰 クロール4AI: Free, open source crawler that outputs llm ready data, ideal for budget ai workflows and local runs.
- 🔧 スクレイピー： Battle-tested Python framework giving developers full control over crawling, parsing, and data pipelines.
- 🧠 スクレイプグラフAI: Graph-based, ai powered extraction that maps page structure for schema based extraction of structured data.
全リストについては、こちらをご覧ください。 Firecrawl alternatives ガイド。
⚔️ ファイヤークロールの比較
Firecrawlが各競合サービスと比べてどうなのか、以下に示します。
- Firecrawl vs Apify: Firecrawl wins on clean, llm ready output; Apify wins on its library of prebuilt scrapers.
- Firecrawl vs Bright Data: Bright Data wins on proxy scale; Firecrawl wins on simpler structured data extraction.
- Firecrawl vs Crawl4AI: Crawl4AI wins on price and self-hosting; Firecrawl wins on managed rate limits and reliability.
- ファイヤークロール対スクレイピー： Scrapy wins on low-level control; Firecrawl wins on speed and zero proxy setup.
- Firecrawl vs ScrapeGraphAI: Both are ai powered; Firecrawl wins on crawl coverage, ScrapeGraphAI on graph logic.
Start Using Firecrawl Now
You learned how to use every major Firecrawl feature:
- ✅ Scrape
- ✅ Crawl
- ✅検索
- ✅ Map
- ✅ Extract
次のステップ： どれか一つの機能を選んで、今すぐ試してみてください。
Most people start with Scrape.
5分もかかりません。
よくある質問
Firecrawlは何に使われるのですか？
Firecrawl is an ai powered web scraping tool. It turns web pages into clean, llm ready data for ai agents, rag systems, market research, and price monitoring.
Firecrawlは無料で利用できますか？
Yes. The free plan lets you scrape a limited number of pages with your api key, so you can test scrape, crawl, and extract before paying.
How do I install Firecrawl?
Run pip install firecrawl-py, then set your api key as an environment variable and create a firecrawl instance to start your first single api call.
How is Firecrawl different from traditional scraping?
Traditional web scraping needs Selenium and manual proxy setup. Firecrawl handles javascript rendering, rate limits, and clean data automatically through one api service.
Can Firecrawl extract structured data?
Yes. Use natural language prompts or a Pydantic schema for schema based extraction, and Firecrawl returns structured json instead of raw html.
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