クイックスタート
This guide covers every Web Scraper feature:
- はじめる — アカウント作成と基本設定
- How to Use Point-and-Click Interface — Build scrapers visually without writing any code
- How to Use Extract Data — Pull structured data from any page on a site
- How to Use Handle JavaScript Sites — Scrape dynamic pages that load content with JS
- How to Use Customize Data — Adjust and clean your scraped rows before export
- How to Use Export Data — Save results as a CSV file, XLSX, or JSON
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 Web Scraper for over six months and tested every feature in this tutorial. This article comes from real hands-on experience — not marketing fluff.
Web Scraper is one of the most beginner friendly guide tools for browser-based データ 抽出。
しかし、ほとんどのユーザーは、その機能のごく一部しか活用していない。
This guide shows you how to use webscraper step by step.
Every feature is covered with screenshots and helpful tips.
Web Scraper Tutorial
This complete how to use Web Scraper tutorial walks you through every feature step by step, from initial setup to advanced methods that make you a power user.
ウェブスクレイパー
Scrape sites directly from your browser with zero code. Web Scraper lets you extract data from any website and export it as CSV, XLSX, or JSON. Start free — no credit card required.
Getting Started with Web Scraper
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 Web Scraper website at https://webscraper.io/ in your browser.
「サインアップ」または「無料トライアルを開始」をクリックしてください。
Enter your email and create a password to set up your account.
✓ 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。
ステップ2：ブラウザ拡張機能をインストールする
Open the Chrome Web Store and search for “Web Scraper” to find the extension.
Click “Add to Chrome” and confirm the download.
The extension also works on Windows, macOS, and Linux desktops.
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 Web Scraper tab in DevTools.
ステップ3：初期設定を完了する
Open DevTools (F12) and click the Web Scraper tab to load the interface.
Create your first sitemap by pasting the URL of the site you want to scrape.
✅ 完了: これで、以下のすべての機能をご利用いただけます。
How to Use Web Scraper Point-and-Click Interface
Point-and-Click Interface lets you create a scraper visually by selecting correct elements on the page.
以下に、その使用方法をステップごとに説明します。
Step 1: Open the Sitemap Editor
Navigate to the site you want to scrape in your browser.
Open DevTools and click the Web Scraper tab to begin.
Step 2: Select Elements Visually
Click “Add new selector” and choose your selector type.
Click directly on the page elements you want to scrape.
Web Scraper highlights the correct elements and suggests CSS selectors for you.
For example, clicking a product title auto-generates the matching selector.
これがその様子です。
✓ チェックポイント: You should see green highlights on your selected elements.
Step 3: Save Your Selector
Click “Done selecting” and then press “Save selector” to confirm.
The scraper stores the css selectors pattern for finding elements on every page.
✅ 結果: Your visual scraper is ready to extract data without code.
💡 プロのヒント: Use the “Element preview” to verify your selectors grab the right data before running the full scrape.
How to Use Web Scraper Extract Data
データの抽出 lets you pull structured data from any web page automatically.
以下に、その使用方法をステップごとに説明します。
Step 1: Configure Your Selectors
Set up selectors for each data point — 文章, link, image, or html header.
Use the selector tree to navigate nested elements on the page structure.
Step 2: Run the Scrape
Click “Scrape” and set your request interval and page load delay.
The scraper sends requests to each URL and starts the data extraction process.
これがその様子です。
✓ チェックポイント: You should see rows of extracted data appear in the preview.
ステップ3：結果を確認する
クリック“ブラウズ” to inspect the extracted data in a table view.
Check that every column matches the data you are interested in collecting.
✅ 結果: You have clean, structured data ready for export.
💡 プロのヒント: Set a 2-second delay between requests to avoid triggering rate limits on the target website.
How to Use Web Scraper Handle JavaScript Sites
Handle JavaScript Sites lets you scrape dynamic pages that load content using JavaScript.
以下に、その使用方法をステップごとに説明します。
Step 1: Identify Dynamic Content
Check if the page loads data after the initial HTML by watching the node tree.
You may need to navigate html elements manually to confirm which ones load late.
If content appears only after JavaScript runs, you need this feature.
Step 2: Enable JavaScript Rendering
In Web Scraper Cloud, select “Full JavaScript rendering” in your sitemap settings.
Set the page load wait time so all elements fully render before the scrape starts.
これがその様子です。
✓ チェックポイント: The preview should show the dynamically loaded content.
Step 3: Test and Run
Run a test scrape on a single page to confirm the script captures every element.
Once verified, run the full scrape across all target pages on the site.
✅ 結果: You can now extract data from JS-heavy sites like a pro.
💡 プロのヒント: If a site uses infinite scroll, add a “Scroll down” selector to load all content before the scrape begins.
How to Use Web Scraper Customize Data
Customize Data lets you adjust, clean, and modify your scraped data before saving it.
以下に、その使用方法をステップごとに説明します。
Step 1: Open the Data Preview
After your scrape finishes, click “Browse” to view the raw data table.
Review each column and note any rows that need cleaning.
Step 2: Apply Regex or Text Filters
Use the “Regex” option in your selector to parse and trim unwanted text.
This is essentially a flexible pattern match that cleans data in place.
これがその様子です。
✓ チェックポイント: Your data columns should now show only the clean values.
Step 3: Rename and Reorder Columns
Edit selector names to give each column a clear, familiar header label.
Reorder selectors in the sitemap to match your final output structure.
✅ 結果: Your data is clean, labeled, and ready for export or analysis.
💡 プロのヒント: Use the “Multiple” checkbox on a selector to capture all matching elements as separate rows in the output.
How to Use Web Scraper Export Data
データのエクスポート lets you save your scraped results as a csv file, XLSX, or JSON file.
以下に、その使用方法をステップごとに説明します。
Step 1: Finish Your Scrape
Wait for the scrape to complete, then click “Browse” to preview the data.
Confirm all rows and columns contain the values you expect to see.
ステップ2：エクスポート形式を選択する
Click the export button and pick CSV, XLSX, or JSON from the format list.
For most users, csv is the most flexible and widely supported option.
これがその様子です。
✓ チェックポイント: You should see a downloading prompt in your browser.
Step 3: Save the File
Pick a folder on your computer and save the exported file.
Open it in Excel, Google Sheets, or any tool that reads CSV to verify and print the data.
✅ 結果: Your scraped data is saved locally and ready for use.
💡 プロのヒント: On Web Scraper Cloud, use the API or webhook to auto-send exported data to Dropbox or Google Drive.
Web Scraper Pro Tips and Shortcuts
After testing Web Scraper for over six months, here are my best tips.
User feedback on forums confirms these shortcuts save the most time.
キーボードショートカット
| アクション | ショートカット |
|---|---|
| Open DevTools | F12 |
| Inspect Element | Ctrl + Shift + C |
| Toggle Console | ESC |
| Reload Page | Ctrl + R |
ほとんどの人が見逃す隠れた機能
- Sitemap Import/Export: Copy and paste a JSON sitemap to quickly clone a scraper or share it with your team as a post in your project folder.
- Pagination Selector: Add a link selector for “Next” buttons to automatically navigate through multi-page search results and scrape every page.
- Scheduled Scraping: Use Web Scraper Cloud to run scrapes on a set schedule and get fresh data delivered to your inbox or service webhook.
Web Scraper Common Mistakes to Avoid
Mistake #1: Scraping Too Fast Without Delays
❌ 間違い: Running scrapes with zero delay, which triggers IP blocks and error responses from the server.
✅ 右: Set a 2000ms minimum delay between requests to mimic human browsing patterns.
Mistake #2: Using the Wrong Selector Type
❌ 間違い: Using a “Text” selector when you need to extract href link values or image URLs from elements.
✅ 右: Match the selector type to your data — use “Link” for URLs and “Image” for images.
Mistake #3: Ignoring robots.txt Rules
❌ 間違い: Scraping pages blocked by robots.txt, which can lead to legal issues for businesses.
✅ 右: Always check the robots.txt file before you scrape to stay compliant and avoid problems.
Web Scraper Troubleshooting
Problem: Scraper Returns Empty Data
原因： The css selectors are targeting elements that no longer exist on the page.
修理： Re-inspect the page in your browser, update your selectors, and run a test scrape.
Problem: JavaScript Content Not Loading
原因： The free browser extension cannot execute JavaScript on pages that need it.
修理： Switch to Web Scraper Cloud, which supports full JavaScript rendering for dynamic sites.
Problem: IP Gets Blocked Mid-Scrape
原因： Sending too many requests too quickly triggers the target site’s anti-bot protection.
修理： Increase your delay setting to at least 3 seconds and use proxy rotation if available.
📌 注記： If none of these fix your issue, contact Web Scraper support for an answer to your specific problem.
What is Web Scraper?
ウェブスクレイパー is a web 削り取りツール that lets you extract data from any website using your browser.
Think of it like a smart copy-paste tool for the entire web that organizes data into rows and columns.
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。
- Point-and-Click Interface: Build scrapers visually without writing python or any code
- Extract Data: Pull text, links, and image URLs from any web page automatically
- Handle JavaScript Sites: Scrape dynamic content that loads via JS or Ajax requests
- Customize Data: Clean, filter, and modify scraped output before saving
- Export Data: Download your results as CSV, XLSX, or JSON in one click
詳細なレビューについては、こちらをご覧ください。 Web Scraper review.
Web Scraper Pricing
Here’s what Web Scraper costs in 2026:
| プラン | 価格 | 最適な用途 |
|---|---|---|
| 無料 | 無料 | Casual users testing small scraping jobs |
| プロジェクト | 月額40ドル | フリーランサー running regular scrape tasks |
| プロ | 月額80ドル | Teams needing multiple concurrent scrapers |
| 規模 | 月額167ドル | Agencies handling high-volume data extraction |
| 企業 | カスタム | Large businesses with custom scraping needs |
無料プラン： Yes — the browser extension is completely free with no time limit.
返金保証: Contact support within 14 days for a refund on paid plans.
💰 最もお得な価格: Project plan — gives you cloud scraping and scheduled runs at the lowest price point.
Web Scraper vs Alternatives
How does Web Scraper compare? Here’s the competitive landscape:
| 道具 | 最適な用途 | 価格 | 評価 |
|---|---|---|---|
| ウェブスクレイパー | Browser-based scraping | 無料+ | ⭐ 3.5 |
| Octoparse | ノーコードビジュアルスクレイピング | 月額89ドル | ⭐ 4.3 |
| Parsehub | Complex multi-level scrapes | 月額189ドル | ⭐ 4.2 |
| スクレイピー | Python developers at scale | 無料 | ⭐ 4.5 |
| アピファイ | Cloud scraping with actors | 月額49ドル | ⭐ 4.4 |
おすすめ商品：
- 総合ベスト： Web Scraper — free tier and easy browser extension for most users
- ベスト予算： Scrapy — completely free and open-source for python developers
- 初心者におすすめ： Octoparse — drag-and-drop interface with built-in templates
- Best for cloud scraping: Apify — powerful actors and API access in the world of web scraping
🎯 Web Scraper Alternatives
Looking for Web Scraper alternatives? Here are the top options:
- 🚀 オクトパース: A no-code scraper with a visual workflow ビルダー, pre-built templates, and cloud service for businesses of all sizes.
- 💰 パースハブ: Handles complex sites with multi-level navigation and AJAX loading, great for users who need advanced data extraction without code.
- 🔧 スクレイピー： An open-source Python framework built for developers who want full control, beautiful soup integration, and large-scale scraping.
- ⚡ Apify: A cloud platform with a marketplace of ready-made scrapers and a flexible API for developers and teams worldwide.
全リストについては、こちらをご覧ください。 Web Scraper alternatives ガイド。
⚔️ Web Scraper Compared
Here’s how Web Scraper stacks up against each competitor:
- Web Scraper vs Octoparse: Web Scraper is free and browser-native; Octoparse offers more power with its desktop app and cloud tools for larger projects.
- Web Scraper vs ParseHub: ParseHub handles deeper site navigation; Web Scraper wins on price and simplicity for quick one-page scrapes.
- Web Scraper vs Scrapy: Scrapy gives developers full control via Python script; Web Scraper is better for non-coders who prefer a visual approach.
- Web Scraper vs Apify: Apify excels at cloud-based オートメーション and API access; Web Scraper is simpler for users who log into their browser and go.
Start Using Web Scraper Now
You learned how to use every major Web Scraper feature:
- ✅ Point-and-Click Interface
- ✅ Extract Data
- ✅ Handle JavaScript Sites
- ✅ Customize Data
- ✅ Export Data
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 Point-and-Click Interface.
5分もかかりません。
よくある質問
Is Web Scraper free to use?
Yes. The Web Scraper browser extension is free. Paid cloud plans start at $40/month for scheduled scrapes and API access.
Can Web Scraper handle JavaScript-rendered pages?
Yes, but only on Web Scraper Cloud. The free browser extension does not execute JavaScript. Cloud plans support full JS rendering.
What formats can Web Scraper export data in?
Web Scraper lets you export data as CSV, XLSX, or JSON. Cloud users can also access data via API or webhook.
Do I need coding skills to use Web Scraper?
No. Web Scraper uses a point-and-click interface. You select elements visually — no Python, Beautiful Soup, or other code needed.
ウェブスクレイピングは合法ですか?
Generally yes, for publicly available data. Always check the site’s robots.txt and terms of service. Avoid scraping personal or private data.
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