概览
主要功能
- 自然語言資料擷取
- REST API 為易於整合
- 自動處理遞迴連結和導航
- 支援動態網站
- 結構化 JSON 匯出
- 可擴展的 cloud-based 擷取
价格
- 模型
- Freemium
- 分类
- 信息代理
- 评分
- 4.8 / 5 (5)
使用场景
競爭性價格監控
通過描述靜止區域使用自然語言，從競爭對手的網站內購物平台追蹤商品價格，然後透過 API 收到結構化 JSON 資料更新。
銷售資料 Pipeline
從目錄和企業網站擷取連絡資訊、公司資訊和清單，以供銷售和 CRM 流程使用。
市場研究資料集
匯集清潔且結構化的資料源自多個資料來源，以供分析師和資料小組使用，免於建置或維護自訂的擷取程式。
機器學習訓練資料的資料集
從動態、JavaScript 運用極多的網站收集大量結構化的內容，以建立模型學習和微調的資料集。
优点 & 缺点
优点
- 自然語言提示取代自訂擷取程式碼
- 輸出清潔、結構化 JSON 資料
- 處理動態和 JavaScript 運用極多的頁面
- 無需維護擷取基礎設施即可擴展
缺点
- 由於大量使用導致成本增高
- 需根據提示的清晰度和站點複雜性，進行準確度檢查
- 受到目標站點的服務條款和速率限制
对决战绩
在万神殿中参与了 3 对决。
Last 3 battles
评测
5 个评分的平均值。
登录以留下评测。
Compared a few options
Evaluated this against two competitors. Where it wins: rEST API for easy integration and handles dynamic and JavaScript-heavy pages. On balance the feature set — especially structured JSON output — justifies the 5 stars for our use case.
Solid for our team
We rolled this out across the team last quarter and scales without maintaining scraping infrastructure. Scalable cloud-based scraping fits neatly into how we already work, and support for dynamic, rendered websites removed a step we used to do by hand. Accuracy depends on prompt clarity and site complexity, which is the main caveat, but it has held up under daily use.
Solid for our team
We rolled this out across the team last quarter and natural language prompts replace custom scraper code. Support for dynamic, rendered websites fits neatly into how we already work, and automatic handling of pagination and navigation removed a step we used to do by hand. but it has held up under daily use.
Years in this space
I've evaluated a lot of these over the years. What stands out here is support for dynamic, rendered websites — handled better than most — and outputs clean, structured JSON data. Worth the time if this is your use case.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on natural language data extraction, and scales without maintaining scraping infrastructure caught me off guard. still, I'd recommend giving it a real trial.
问答
How fast is the ScrapeGraphAI API?
Most requests complete in 2-10 seconds depending on page complexity and the amount of data extracted. Frequently requested URLs are cached, so repeat calls come back almost instantly.
Asked by Katarzyna Zielinska · Jun 4, 2026
Can ScrapeGraphAI scrape JavaScript-rendered pages and SPAs?
Yes. ScrapeGraphAI handles JavaScript-heavy pages, single-page applications, and dynamically loaded content out of the box. No need to manage headless browsers yourself.
Asked by Hannah Goldberg · May 14, 2026
Is ScrapeGraphAI free to use?
Yes. The free plan includes 500 API credits, enough to test the API and build a proof of concept. Paid plans start at $20/month with 10,000 credits and scale up from there.
Asked by Ola Eriksen · May 7, 2026
What data formats does the web scraping API support?
All responses come back as structured JSON matching your prompt. You can also provide a JSON schema to enforce exact output shapes, perfect for feeding data directly into your pipeline or database.
Asked by Vikram Rao · Apr 9, 2026
Do I need to write CSS selectors or XPath to scrape websites?
No. ScrapeGraphAI uses large language models to understand page content semantically. You describe what you want in plain English. No selectors, no regex, no DOM traversal. The AI figures out where the data lives.
Asked by Miriam Cohen · Feb 27, 2026
提问
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