Expert Tutorial

How to Use Web Scraper to Extract Data (2026 Guide)

A step-by-step guide on how to use Web Scraper to extract data and export it to Excel or CSV without coding.

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What is Web Scraper?

Crawl any website in a real browser and extract structured data with custom JavaScript. Handle dynamic pages and export to 7 formats.

The General Web Scraper is the blank canvas of the Apify store: point it at any public website and extract structured fields with custom JavaScript in a full Chromium browser. It handles login-free dynamic pages, infinite scroll, tabs, and AJAX-loaded content that breaks plain HTTP fetchers — one configurable tool instead of a bespoke crawler per site. Crawling, link-following, and result pagination run on Apify's cloud with scheduling, webhooks, and API delivery built in. Export to Excel, CSV, JSON, XML, HTML, RSS, or JSONL, or push rows straight into databases and pipelines for always-fresh datasets.

Key Features

  • Browser-based scraping
  • Custom JavaScript extraction
  • Recursive URL crawling
  • Automatic concurrency management
  • Handles dynamic content

How to Extract Data (Step by Step)

Extracting data using the Web Scraper is incredibly straightforward. It runs entirely in the cloud, meaning you don't need to install any desktop software.

  1. Sign up for free: Create a free ParseFlow account to access professional extraction tools.
  2. Set your parameters: Paste the target URLs into the Web Scraper configuration.
  3. Download your data: Click Start, wait a few minutes, and download your dataset as Excel or JSON.
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What does the exported data look like?

You can export the results into Excel, CSV, JSON, or HTML. Here is a sample of what the raw JSON data looks like:

[
  {
    "url": "https://example.com/data",
    "title": "Sample Extracted Record",
    "extracted_at": "2026-05-20T14:30:00Z"
  }
]