FlexiScraper

FlexiScraper is a robust web scraper built to extract content from virtually any website, even when access restrictions or dynamic JavaScript content get in the way. It helps developers and data teams reliably collect clean, usable data without wrestling with blocked requests or incomplete pages.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

FlexiScraper is designed to pull structured and unstructured data from web pages that are typically hard to scrape. It tackles common roadblocks like forbidden responses and client-side rendering, then returns the results in formats that are easy to work with. This project is ideal for developers, analysts, and content teams who need dependable web scraping without fragile workarounds.

Built to Handle the Tough Stuff

• Accesses pages that respond with 403 or similar blocking errors.
• Renders JavaScript-heavy pages before extraction.
• Outputs data in HTML, plain text, or Markdown.
• Manages redirects, headers, and cookies automatically.
• Focuses on speed while maintaining stability.

Features

Feature	Description
403 bypass handling	Retrieves content from endpoints that block standard requests.
JavaScript rendering	Loads and processes dynamic pages generated by scripts.
Multiple output formats	Export data as HTML, clean text, or Markdown.
Minimal configuration	Works with sensible defaults and simple inputs.
Custom controls	Adjust timing, headers, and rendering behavior as needed.
Developer-friendly	Easy to integrate into scripts, services, or pipelines.

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What Data This Scraper Extracts

Field Name	Field Description
url	The source page URL that was scraped.
status_code	HTTP response code returned by the request.
html	Full rendered HTML content of the page.
text	Cleaned plain-text content extracted from the page.
markdown	Structured Markdown version of the page content.
metadata	Basic page metadata such as title or headers.

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Example Output

{
  "url": "https://example.com/article",
  "status_code": 200,
  "text": "This is the main article content extracted as plain text.",
  "markdown": "# Article Title\n\nThis is the main article content.",
  "metadata": {
    "title": "Article Title"
  }
}

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Directory Structure Tree

FlexiScraper/
├── src/
│   ├── main.py
│   ├── scraper/
│   │   ├── renderer.py
│   │   ├── fetcher.py
│   │   └── parser.py
│   ├── exporters/
│   │   ├── html_exporter.py
│   │   ├── text_exporter.py
│   │   └── markdown_exporter.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_input.txt
│   └── sample_output.json
├── requirements.txt
└── README.md

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Use Cases

• Developers use it to scrape JavaScript-heavy websites, so they can automate data collection without brittle hacks.
• Content teams rely on it to extract articles and blog posts, enabling fast reuse and analysis.
• Researchers gather large text datasets from multiple sources to support data mining and NLP projects.
• SEO specialists collect competitor content to analyze structure, keywords, and publishing patterns.
• Product teams monitor public pages for changes, helping them stay informed without manual checks.

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FAQs

Does FlexiScraper work on sites that block bots? It is built to handle common blocking techniques like 403 responses, but extremely aggressive protections may still require careful configuration and responsible usage.

Can I choose how the content is returned? Yes, you can select HTML, plain text, or Markdown output depending on how you plan to use the data.

Is it suitable for large-scale scraping? FlexiScraper is optimized for efficiency, but large-scale use should always include rate limiting and respect for target websites.

Does it support dynamic pages? Yes, it renders JavaScript before extraction, ensuring dynamic content is fully captured.

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Performance Benchmarks and Results

Primary Metric: Average page processing time of 2–4 seconds for JavaScript-rendered pages under normal network conditions.

Reliability Metric: Maintains a successful extraction rate above 95% on tested dynamic and access-restricted pages.

Efficiency Metric: Processes multiple pages concurrently with controlled resource usage to avoid system overload.

Quality Metric: Consistently returns complete, well-structured content with minimal missing text or formatting errors.

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington Marketer ★★★★★

"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza SEO Affiliate Expert ★★★★★

"Exceptional results, clear communication, and flawless delivery. Bitbash nailed it." Syed Digital Strategist ★★★★★