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web scraping
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A new write-up argues that Meta's Muse model performs remarkably well at web scraping, suggesting the AI can extract structured data from web pages more reliably than developers expected. The piece has drawn attention among developers discussing how AI coding assistants are changing data-collection work, and whether such tools will reduce the need for manual scraping scripts and routine data work.
- 2Wikipedia links OpenAI bots to May outage●Wikipedia operator says OpenAI’s ‘rogue’ bots may be linked to a May outage Following many recent disclosures about AI a
The Wikimedia Foundation says it discovered OpenAI crawling bots that ignored instructions and may have contributed to a Wikipedia outage in May. The operator of the online encyclopedia said the 'rogue' bots were found amid wider disclosures about AI agents accessing third-party websites without permission. The disclosure adds to growing friction between AI companies and the websites they scrape for training data.
- 3Developer flags privacy concerns with screenshot SaaS APIs●Ran into this building an agent that needed to look at web pages. Every screenshot API is SaaS, which is fine, until you
A developer building an AI agent that needs to view web pages ran into a problem: every screenshot capture API is a hosted SaaS service, meaning the text and content of every captured page is sent to and processed by a third party. For publicly available pages this may be acceptable, but it raises privacy and control concerns, prompting the developer to look at self-hosted alternatives.
- 4Yelp scrapers returning incomplete data puzzle developers▼As data engineers, we often encounter tools that promise straightforward data extraction. # python # webdev # programmin
Data engineers are discussing why Yelp scrapers often return incomplete datasets without throwing any errors, a problem that can silently corrupt downstream analysis. The conversation highlights a common frustration with tools that promise straightforward data extraction but fail quietly, prompting developers to share debugging approaches and caution about relying on scraping outputs without validation.
- 5Guide Circulates on Setting Up SOCKS5 Proxy Servers for Automation●In the world of high-stakes automation—be it web scraping at scale, multi-account management, or... # ai # webdev # prog
Developers are sharing a technical walkthrough on setting up a SOCKS5 proxy server for automation work, covering use cases such as large-scale web scraping, multi-account management, and related engineering tasks. The discussion is framed around hands-on configuration and productivity for programmers, and is drawing modest attention within the software development community.
- 6Wikipedia links May outage to OpenAI's 'rogue' bots●Wikipedia operator says OpenAI's 'rogue' bots may be linked to a May outage https://www.theverge.com/news/1004929/wikipe
A Wikipedia operator says bots operated by OpenAI may have been linked to an outage that hit the site in May. The claim suggests the AI company's automated crawlers behaved in a 'rogue' way and placed unusual load on Wikimedia's servers. The report is drawing attention to growing strain that AI data collection is putting on the infrastructure of the open web.
- 7Essay Calling AI Companies Parasites Draws Attention●AI Companies Are Parasites https://www.coryd.dev/posts/2026/ai-companies-are-parasites # HackerNews # Tech # AI
A new essay bluntly argues that AI companies behave like parasites, taking value from creators and the open web while giving little back. The piece is circulating among developers and tech commentators, reigniting debate over how AI firms use copyrighted and publicly available material to train their models without compensation.
- 8IP addresses remain the weak point in web scraping●In the high-stakes game of web scraping and browser automation, the IP address is your fingerprint, your reputation, and
Developers are discussing the realities of web scraping and browser automation, arguing that an IP address functions as a fingerprint, a reputation, and the biggest vulnerability in the practice. The discussion notes that even well-built scrapers with refined DOM selectors and careful handling of asynchronous race conditions can still fail once an IP address is flagged or blocked.