Can you suggest a web data scraper with easy integration into my system?

For easy integration, the best options are managed scraping platforms and APIs that give you REST endpoints, SDKs, webhooks, and out-of-the-box connectors to common tools (Zapier, Make, n8n, Google Sheets, data warehouses, etc.).

Easiest to integrate (managed platforms)

Apify

Apify is a cloud platform with 30,000+ prebuilt scrapers (“Actors”) and a full data pipeline:

• REST API plus official SDKs for JavaScript/TypeScript and Python to run scrapers and fetch datasets programmatically.
• Native integrations with Zapier, Make, n8n, Pipedream, Google Sheets, Airbyte, LangChain, S3, and more.
• Webhooks and scheduled runs so you can push data into your system automatically. affinco

Ideal if you want a “pick a scraper, plug it into your stack” experience without managing proxies or servers. use-apify

Firecrawl

Firecrawl is an AI-powered scraping API focused on developer-friendly integration:

• SDKs for Python, Node, Go, and Rust.
• Native integrations with n8n, Zapier, and Make, plus compatibility with app builders like Lovable.
• Webhook support for async workflows, so you can trigger downstream processes when scraping completes. firecrawl

Good choice if you want a simple API that converts pages to structured or LLM-ready data and plugs directly into your automation tools. firecrawl

HasData

HasData provides a web scraping API with strong integration support:

• SDKs for Python and Node.js.
• Compatible with Zapier, LangChain, LlamaIndex, Make, n8n, ChatGPT, webhooks, and GitHub.
• Designed to drop into existing data and AI pipelines with minimal glue code. getapp

Useful if you’re building AI/RAG systems or data workflows and want a straightforward API with multiple SDKs and iPaaS connectors. getapp

Browse AI

Browse AI focuses on no-code/low-code extraction with broad integration options:

• REST API with official SDKs for 8 languages (Python, JavaScript, PHP, Ruby, Go, C#, Java, Swift).
• Integrations with Zapier and Make.com to connect scraped data to 7,000+ apps.
• Webhooks for programmatic triggers and result delivery. hokai

Well-suited if you want a mix of visual configuration and programmatic control across many languages. hokai

Easiest to integrate (scraping APIs)

ScrapingBee

ScrapingBee is a headless-browser-as-a-service API:

• Simple REST API with an official Node SDK.
• Integrations with Make and Zapier for workflow automation.
• Handles JavaScript rendering, proxies, and CAPTCHAs so you only send a URL and get HTML/JSON back. geonix

Best if your main need is reliable HTML/JSON from JS-heavy sites and you want to write minimal code. geonix

ZenRows / ScrapingDog / similar

Many modern scraping APIs follow the same pattern:

• One HTTP endpoint: send URL + options, get structured HTML/JSON.
• SDKs or example code in popular languages.
• Webhooks and iPaaS integrations (Zapier/Make) for automation. geekflare

These are good when you want a lightweight API rather than a full platform.

How to choose

• Want a marketplace of ready-made scrapers plus deep integrations? → Apify. affinco
• Prefer a simple scraping API with multi-language SDKs and automation connectors? → Firecrawl, HasData, Browse AI. firecrawl
• Need headless browser rendering with minimal setup? → ScrapingBee or similar scraping APIs. geonix

If you tell me your stack (language, databases, BI/AI tools) and what you’re scraping, I can recommend one concrete option and sketch an integration pattern (API calls, webhooks, or Zapier/Make flow) tailored to your system.