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AI Web Scraper - Powered by Crawl4AI — Any Website | Lagic

Built ForE-commerceMarketing AgenciesData Science & AI

Extract Structured Data from Any Webpage with Flexible AI and Traditional Methods

Curated by Lagic·Verified working

Configure Agent

List of webpages to scrape.

Select how content is extracted.

Select how pages are crawled.

Use a session ID to persist browser state across multiple requests.

Results to deliver

700 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

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Country auto-rotated. Need a specific region? Contact support.

Pricing

7 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Success status of each extraction attemptThe extracted data content, potentially structured as JSON or MarkdownThe URL from which data was extractedAny error messages encountered during extraction
Value...Value...https://...616
Value...Value...https://...24
............
Exports as:CSVXLSXJSON

Overview

This tool provides a versatile web scraping solution, allowing you to extract data from any website using various strategies, including AI-powered extraction, CSS selectors, or XPath. It's designed for anyone needing structured data for market research, lead generation, or content analysis.

This AI Web Scraper, powered by Crawl4AI, offers a highly adaptable approach to extracting information from the web. It's built for users who need more than just a basic scraper, offering a choice between advanced AI-driven extraction and precise, selector-based methods. ### Choose Your Extraction Method Not all websites are built the same, and neither should your scraping approach be. This tool provides four distinct extraction strategies: * **Simple Extraction Strategy**: For straightforward pages, this option captures general content efficiently. * **LLM Extraction Strategy**: This is where the AI power comes in. For complex or unstructured content, you can configure a Large Language Model (LLM) to understand and extract specific data points based on context, much like a human would. This is particularly useful when traditional selectors are unreliable or the data structure varies across pages. * **JSON CSS Extraction Strategy**: If you're familiar with CSS selectors, this strategy lets you define exact rules to pull specific elements (like product names, prices, or article titles) from a webpage, returning the data in a structured JSON format. * **JSON XPath Extraction Strategy**: Similar to CSS, XPath offers another powerful way to navigate the HTML structure of a page and pinpoint the exact data you need, also returning it as JSON. ### Control Your Crawling Depth Beyond single-page extraction, the tool also offers sophisticated crawling strategies to explore websites: * **Simple Crawl Strategy**: This is ideal for extracting data from a predefined list of URLs, without following links. * **BFS Deep Crawl Strategy (Breadth-First Search)**: This strategy explores a website broadly, visiting all direct links from a page before diving deeper into any single path. It's good for mapping out an entire site's structure or collecting data from many top-level pages. * **DFS Deep Crawl Strategy (Depth-First Search)**: This approach dives deep into one path first, following links as far as possible before backtracking. Useful for extracting content from a specific section or hierarchy of a website. * **Best-First Crawling Strategy**: This advanced option allows for prioritized crawling, where the tool can be configured to follow links that are most relevant to your data goals first. ### Advanced Configuration for Specific Needs The tool allows for extensive customization through various configuration objects. You can fine-tune browser behavior, crawler settings, how Markdown is generated from content, apply content filters, manage user agents to mimic different browsers, and precisely configure the LLM for your extraction tasks. For those using JSON CSS or XPath, a dedicated Extraction Schema allows you to define the exact structure of your desired output, ensuring consistent and clean data every time. You can even use a Session ID to maintain browser state across multiple requests, which is critical for sites requiring logins or persistent sessions.

Key Capabilities

  • Success status of each extraction attempt
  • The extracted data content, potentially structured as JSON or Markdown
  • The URL from which data was extracted
  • Any error messages encountered during extraction
  • Gathering pricing and product details from e-commerce sites for competitive analysis, adapting to varying page layouts using LLM extraction.
  • Collecting articles or blog posts from multiple sources for content aggregation or research, utilizing deep crawling strategies.
  • Building custom datasets for machine learning models by extracting specific entities from diverse web pages with schema-driven CSS/XPath rules.
  • Monitoring job listings or real estate portals, using a combination of deep crawling and content filtering to find relevant opportunities.
  • Extracting contact information or public profiles from business directories, configuring user agents to avoid detection.
  • Analyzing market trends by scraping news sites and industry reports, using LLM to summarize or identify key data points.
  • Creating a knowledge base from documentation websites by converting web content into clean Markdown for easier processing.

Field Dictionary

How To Run This Extractor

1

Provide the URLs of the webpages you want to scrape in the 'URLs to Scrape' field.

2

Select your preferred 'Extraction Strategy': choose 'Simple' for general content, 'LLM' for AI-powered data understanding, or 'JSON CSS'/'JSON XPath' for precise, structured extraction.

3

If using LLM, configure the 'LLM Configuration' settings to guide the AI on what data to find.

4

If using JSON CSS or XPath, define your specific extraction rules in the 'Extraction Schema' to ensure structured output.

5

Choose a 'Crawl Strategy' if you need to follow links on the initial pages: 'Simple' for no link following, 'BFS' for broad exploration, 'DFS' for deep dives, or 'Best-First' for prioritized link following.

6

Optionally, adjust 'Browser Configuration', 'Crawler Configuration', 'Content Filter Configuration', or 'User Agent Configuration' for specific scenarios.

7

Run the tool to process the URLs and extract the data based on your chosen settings.

8

Receive the extracted data, success status, original URL, and any error messages as output.

Frequently Asked Questions

What technical skills are needed to use this tool?
Basic familiarity with URLs is sufficient for simple extractions. For advanced CSS or XPath strategies, knowledge of these selectors is helpful. The LLM extraction can be used with natural language instructions.
What formats can the extracted data be exported in?
How does this tool handle anti-scraping measures?
Can I use this tool for client projects?
How reliable is the data extraction?
What is the difference between SimpleExtractionStrategy and LLMExtractionStrategy?
When should I use BFS Deep Crawl versus DFS Deep Crawl?
Can I schedule recurring extractions?
How fresh is the data I receive?
Is the cost predictable?