MikeTrendsTrends right now

search

Scrape

Trends

  1. 1
    Meta's Muse praised as a strong web scraping tool●Meta's Muse is fantastic for web scrapingYhnBusinessLabor6316 min ago

    Meta's Muse, the company's AI model, is drawing attention for its effectiveness at web scraping. A detailed write-up from developer site sigh.dev argues the model performs particularly well at extracting structured data from web pages, and the piece is gaining traction among developers discussing practical, labor-saving uses of AI models beyond chat and coding assistants.

  2. 2

    Cloudflare has introduced a Web Search API, announced via its official changelog. The service lets developers integrate web search directly into applications, agents, and AI pipelines through a simple API rather than building custom scraping or search infrastructure. The launch drew strong attention on Hacker News, where it ranked near the top of the site as developers debated pricing, competition with existing search APIs, and its usefulness for building AI tools.

  3. 3
    Philadelphia Inquirer launches Scrape AI tool for hyperlocal news●The Philadelphia Inquirer built Scrape, an AI tool to surface hyperlocal newsYhnEnvironment851 min ago

    The Philadelphia Inquirer has built Scrape, an artificial intelligence tool designed to surface hyperlocal news stories that might otherwise go unreported. Developed with support from the Lenfest Institute, the tool aims to help the newsroom identify neighborhood-level stories across Philadelphia. The project is drawing attention as an example of how local newsrooms can use AI to expand coverage rather than replace journalists.

  4. 4
    Developer Launches Google Maps Scraper MCP Tool●Show HN: Google Maps Scraper MCPYhnBusiness1026 min ago

    A new tool called Google Maps Scraper MCP has been launched, offering a way to extract business data from Google Maps through the Model Context Protocol, allowing AI assistants to pull location and business listings on demand. It is being shared with the tech community for feedback, and discussion is focused on its practical uses for lead generation and local data gathering, as well as questions around terms of service and scraping ethics.

  5. 5
    Yelp scrapers returning incomplete data puzzle developers▼As data engineers, we often encounter tools that promise straightforward data extraction. # python # webdev # programminMmastodonTechnologySoftware311 min ago

    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.

  6. 6
    Wikipedia 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 aMmastodonBusinessStartups22 h ago

    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.