Web Page Scraping Python​

Web Page Scraping Python​

ID: fkjlcnkjnopcmpeaphpnafklokfdemak

Supported Languages

🇺🇸English
🇷🇺Russian

Extension Info & Metadata

Status
Active
Version
0.1.2
Size
0.41 MB
Rating
0.0/5
Reviews
0
Users
19
Type
Extension
Updated
Feb 8, 2026
Category
Developer tools
Price
Free
Featured
No
Visibility
Listed
Mature
No
By Google
No
Trusted
No

Publisher Contextual Analysis

Author
dmsamoilisView Profile
MX records exist
Yes
Domain exists
Yes
Is disposable
No
Is role-based
No
Mailbox exists
Yes
Total Extensions
1
Active
1
Obsolete
0
Listed
1
Unlisted
0
Total Users
19

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Screenshot 1

🚀 Visual browser extension for web scraping: build Python scrapers, generate code, and automate site data extraction.

🚀 This chrome extension for web scraping helps you scrape data from website pages using a visual and intuitive approach. It is designed for users who want reliable results without spending hours on manual setup, making web page scraping faster and easier for everyday tasks. Web page scraping is often associated with complex scripts and trial-and-error workflows. Many users search how to scrape data from a website but quickly face technical barriers. This extension removes those obstacles and transforms web page scraping into a clear and guided process. The tool is built for scrape web python use cases, allowing you to collect structured data directly from your browser. Instead of guessing selectors, you visually choose elements and instantly understand how data is extracted. This approach makes python web scraping more accessible and predictable. Key benefits include: Visual selection of page elements Automatic grouping of repeated content Clean structured output Reliable scrape data from website workflows This chrome extension for web scraping works seamlessly on modern websites, including pages with dynamic content. It supports common web page scraping python scenarios and helps users build a stable foundation for python internet scraping projects. ⚙️ Core functionality: Features Interactive data extraction — visually detect lists, extract text, links, and images, and generate CSS selectors automatically. Field management — rename fields, refine selectors, filter by frequency, and include or exclude fields from export. Structured results view — table and record views with sorting and pagination for large datasets. Python-focused export — copy BeautifulSoup-ready code, export data to a Python file, or output JSON to clipboard. Progress-controlled scraping — start, pause, resume, and recover after page reloads with real-time progress indicators. Multi-page & infinite-scroll support — scrape paginated sites and scrolling feeds with configurable navigation. Advanced deduplication — automatic duplicate detection with hashing, statistics, and memory-optimized cleanup. Real-time statistics — pages processed, items collected, success and error counts, speed, and ETA. Data management tools — full reset of selections and results, cancel selections, and export collected data anytime. Clean and informative UI — collapsible sections, animated progress bars, status indicators, and adaptive layout. For developers, the extension acts as a powerful assistant when building a python site scraper. It significantly reduces setup time and helps validate extraction logic before moving to full automation, making python web scraping more efficient. Popular use cases include: ➤ Market and price monitoring ➤ Content research and aggregation ➤ Lead and directory data collection ➤ SEO and competitive analysis ➤ Learning how to scrape data from a website The extension is especially useful for users exploring web page scraping python for the first time. By visualizing the structure of a page, users gain a better understanding of how python web scraping and python internet scraping actually work in practice. 📌 Supported extraction targets: • Product cards and listings • Blog posts and articles • Tables and structured datasets • Search result pages • Repeating UI components As a chrome extension for web scraping, it runs entirely in your browser and gives you full control over what data is collected. This makes scrape data from website tasks transparent, safe, and easy to manage. Advanced users can reuse extraction patterns for repeated python site scraper workflows. This is ideal for ongoing python internet scraping tasks where consistency and reliability matter. Why professionals choose this tool: 1️⃣ Faster than manual coding 2️⃣ Ideal for scrape web python tasks 3️⃣ Helps master web page scraping 4️⃣ Works on real-world websites 5️⃣ Scales with python web scraping needs This extension bridges the gap between visual interaction and automation. Whether you are learning how to scrape data from a website or building a production-ready web scraper python workflow, it delivers clarity, speed, and confidence at every step.

Extracted Data

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URLs
10
IPv4
0
IPv6
0

URLs

View the external URLs this extension communicates with to understand its network activity and data interactions.

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clients2.google.com/service/update2/crxhttps://clients2.google.com/service/update2/crx
*/*http://*/*
*/*https://*/*
reactjs.org/docs/error-decoder.htmlhttps://reactjs.org/docs/error-decoder.html?invariant=
www.w3.org/1999/xlinkhttp://www.w3.org/1999/xlink
www.w3.org/XML/1998/namespacehttp://www.w3.org/XML/1998/namespace
www.w3.org/2000/svghttp://www.w3.org/2000/svg
www.w3.org/1998/Math/MathMLhttp://www.w3.org/1998/Math/MathML
www.w3.org/1999/xhtmlhttp://www.w3.org/1999/xhtml
github.com/pmndrs/zustand/discussions/1937https://github.com/pmndrs/zustand/discussions/1937

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Version History

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Browse and explore files within this extension package

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