Pricing

from $3.50 / 1,000 data extracteds

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Smart Web Scraper - No APIs

Try for free

Extract structured data (titles, prices, emails, links) from any website using pure Python. Zero API keys, fast, and enterprise-grade.

Pricing

from $3.50 / 1,000 data extracteds

Rating

0.0

(0)

Developer

Johan Ortiz

Actor stats

Bookmarked

Total users

Monthly active users

8 hours ago

Last modified

Smart Data Extractor (No APIs)

Extract structured data from any website using pure Python and statistical analysis. No external APIs, no API keys, no hidden costs. Built for enterprise pipelines that require high reliability, fast execution, and zero dependencies.

🛡️ Why choose this Actor? (No APIs, 100% Local)

Most data extractors rely on expensive third-party APIs (like OpenAI or ScrapingBee) that crash when they hit rate limits or run out of credits. This Actor is built to survive:

Zero External Dependencies: No API keys required. Runs entirely on Apify's infrastructure.
Fast & Lightweight: Extracts data in seconds using Python's BeautifulSoup and Regex.
State Persistence: Uses Actor.use_state() to resume exactly where it left off if interrupted.
Anti-Ban Proxies: Rotates residential proxies to avoid getting blocked.

🚀 Features

Structured Extraction: Automatically finds Titles, Meta Descriptions, Prices, Emails, and Main Links.
Fail-Safe Input: AI agents that call with empty inputs still get a working default URL.
Pay-Per-Event: Only pay for successful extractions. No subscriptions.

📖 How to use

Go to the Input tab.
Paste your list of URLs in the urls field.
Click Start.
Download the structured JSON from the Storage tab.

📊 Output Data

Each URL returns a clean JSON object with the extracted data:

{
  "url": "https://en.wikipedia.org/wiki/Web_scraping",
  "title": "Web scraping - Wikipedia",
  "description": "Web scraping is the process of...",
  "pricesFound": [],
  "emailsFound": [],
  "mainLinks": ["https://en.wikipedia.org/wiki/Data_scraping"],
  "extractedAt": "2026-10-20T18:58:00.000Z",
  "status": "SUCCESS"
}

💡 Use Cases

E-commerce: Monitor prices and product descriptions across competitor stores.
Lead Generation: Extract emails and contact links from company websites.
Market Research: Scrape news articles, blogs, and reports for data analysis.
AI Agents: Feed clean, structured data into your LLM pipelines without paying for expensive APIs.

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