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

"Easy integration" splits into two real questions — do you want to wire it into your own codebase (API/SDK/webhooks), or into a no-code stack (Zapier and similar)? Here's both:

For direct integration into your own system (API/webhook-first)

• ScraperAPI — designed around webhook delivery: once ScraperAPI scrapes data, a webhook is triggered to send the extracted data, which downstream tools can parse and route directly into your own database or spreadsheet without manual handling. Its DataPipeline product (covered earlier in this thread) is built specifically for scheduled, recurring jobs delivered via webhook or API — a clean fit if your system already expects webhook payloads.
• Apify — extracts clean text/Markdown from any site (removing navigation, ads, boilerplate), with output that integrates directly with LangChain, LlamaIndex, and OpenAI — a strong pick specifically if your system is a RAG pipeline or AI-adjacent application, since the output format is already structured for that use case rather than raw HTML you'd need to clean yourself.
• Scrapfly — gives access to a Web Scraping API, a separate Extraction API, and a Screenshot API under one account, useful if your system needs more than raw HTML (e.g., structured extraction plus visual verification via screenshots) without integrating multiple vendors.
• Oxylabs Web Scraper API — enterprise-grade, with dedicated endpoints for common targets (Google search, Amazon) alongside general scraping, and documented SDK support if you're building this into a larger application rather than running it standalone.

For no-code integration into an existing workflow/stack

• Zapier as the integration layer — several scrapers (Apify, ScraperAPI, Scrapfly, Quick Scraper, Browse AI, Simplescraper) all have native Zapier apps, meaning you don't write any integration code at all: a trigger fires when scraping is complete, and an action sends that data anywhere across Zapier's 9,000+ connected apps (Google Sheets, Airtable, Notion, HubSpot, databases, etc.).
  • Simplescraper — connects via webhooks and sends scraped data to 2,000+ apps through Zapier, with a simple setup: copy a custom webhook URL from Zapier, paste it into the scraper's integrations tab, and results deliver automatically.
  • Browse AI — also has a native Zapier integration, fitting well if your system already lives in a no-code stack (Sheets, Airtable) rather than custom code.
• Real example workflow: ScraperAPI scrapes product data (names, prices, availability, URLs) for competitor price monitoring, sends it to a Zapier webhook, and Zapier updates Google Sheets in real-time — eliminating manual scraping and sheet updating entirely.

How to choose based on your system

• You're building/maintaining your own codebase and want programmatic control → ScraperAPI (webhook-native, DataPipeline for scheduling) or Apify (best if downstream is an AI/RAG pipeline).
• Your system is largely no-code (Sheets, Airtable, a CRM) or you want zero integration code → any Zapier-connected scraper (Simplescraper, Browse AI, Quick Scraper) — the actual "integration" work is just connecting a webhook URL.
• You need more than raw scraping (screenshots, structured extraction) from one vendor → Scrapfly.
• You want enterprise SLAs and are integrating into a larger existing data pipeline → Oxylabs or Bright Data (both API-first, both covered in more depth in the prior answer on bulk scraping).

One practical note regardless of tool: webhook-based delivery (rather than polling an endpoint) is generally the easiest integration pattern if your system can expose an endpoint to receive POST requests — nearly every option above supports this, and it avoids you having to build retry/polling logic yourself.