... network throughput (rx / tx) - Alert counts by type Off by default, yours to expose - Off by default nothing listens until you opt in - Localhost-only, unless you flip it to your LAN (so a Prometheus on your NAS can scrape it) - Optional bearer token - Live whenever Netfox is running it stays in the menu bar, serving with the window closed Setup, the full metric list, and a sample scrape

... Product Hunt I m launching Pithom Labs Scraper a local, UI-first web scraper

... organizing thoughts, plans etc. Calendar (MacOS + iPad) - planning the week and time slots Mail (Gmail + Outlook) - communications Comment from Suresh Rathod(@suresh_rathod3): Claude AI Gemini Pro Gmail BrandBrahma.com Comment from Richard Acheampong (@richatsealedvault): Sealit password manager, Claude code, VS code, Gemini Ai, Google docs. Comment from Micha Rowi ski(@michal_rowinski): My 5 (mostly building + content these days): Claude - brainstorming, drafting, and pressure-testing decisions before I commit PostHog - analytics and understanding what users actually do, not what I assume ... ... favorites, but I also work with other ones like Claude for reports and other complex tasks. Comment from Prashant Patil(@prashant_patil14): Mine would be: ChatGPT / Claude brainstorming, debugging, research, and turning rough ideas into working solutions. VS

... technical rebuild or an SEO overhaul. It is incredibly slow and unscalable. The Solution: I built SiteHunter Cloud to automate that entire discovery and vetting pipeline. You feed it a local niche, and the engine handles the rest scraping the business data and instantly running technical and visual audits on their domains. Core Architecture & Features: Automated Local Scraping

... Hello everyone. Welcome back to my siterows.com series. Quick reminder of what this app does: Allows you to scrape web content with SQL, like you would query a DB. Creating a FREE account unlocks automation features and higher usage limits. Today's question: "On the site, what is the whole deal with this Objects box?" The purpose of the objects box is to give it a SQL-like look and feel, and here is how it's structured: When ... ... expand "DOM" and further expand any element like @a or @div, you get two items: "Scraper

... Reddit Comment Scraper is a production-grade Apify Actor that extracts all comments and replies from any public Reddit post URL, and returns structured JSON in under a second. Unlike browser-based scrapers

... Product Hunt, I m building TalorData, a Search API for developers, SEO teams, and automation workflows that need structured search result data without maintaining their own scraping infrastructure. It currently supports Google, Bing, and Yandex, and can return results as JSON, raw HTML, or screenshots. The main reason I started working on this is that many teams end up rebuilding the same stack: proxies, retries, browser rendering, parser updates, rate limits, anti-bot handling, and monitoring. For many use cases ... ... team just needs reliable search result data, not another scraping

... Product Hunt I m Akash, and I built a Google Trends Scraper on Apify to solve a simple problem: Google Trends is powerful but not usable at scale. You can explore trends visually, but exporting structured, analysis-ready data? Painful. What this does This scraper

... Tired of writing scrapers that break every week? Tired of paying enterprise prices just to get raw unstructured data you still have to clean yourself? I'm building Vexaro. Define your intent, define your schema, and Vexaro turns any publicly accessible website into a clean structured dataset. Versioned automatically. Refreshed nightly. With a ping URL to trigger additional refreshes on your own schedule. There's also a marketplace of the most wanted datasets across Reddit, finance, sports, tech and entertainment ... ... Clone one, extend it, or publish your own for the community. No scrapers

... year ago, half the marketing world told us "AI search" was overhyped. The other half was shipping "ChatGPT SEO checklists" in a week. We ignored both. Instead we did one boring thing: we scraped LLM citations. Every day. Across ChatGPT, Perplexity, Gemini, Claude. For hundreds of brands. And we asked one question when AI recommends a product, where does that recommendation actually come from? Here's what we found that nobody was talking about: LLMs don't "rank" pages. They ... ... looking next. AMA ask me anything about: Building a GEO tool while the category was still being named What we've seen in millions of LLM citations Why most "AI visibility scores" are vanity metrics The unsexy tech behind scraping

... Trying to find and curate a leads list is tough. With so many tools out there, the noise is loud. Instead of running through Clay or Apollo, I decide to build a Google Maps Scraper with their API and python. In 2 minutes the scraper

... worldwide, plus stable static ISP IPs no fake or polluted IPs that risk your accounts or projects. We strictly follow AUP (Acceptable Use Policy) and ensure all IPs are authorized, so you can use them with confidence for web scraping, social media management, or cross-border operations . High Stability & Low Latency : 99.92% uptime and average response time < 0.5s critical for web scraping

... Product Hunt! We're launching Idealo Product Scraper an Apify actor by data_alchemist that lets marketers and analysts extract structured product data from idealo.de (and its regional variants) without writing a single line of code. apify.com/data_alchemist/idealo-product-scraper What does it do? Idealo is one of Europe's largest price comparison platforms with millions of product listings. Our actor lets you pull: Price offers all seller prices in one structured dataset with direct links to the stores Product specs technical ... ... details and attributes as listed on idealo Product images direct URLs to high-res images Who is it for? E-commerce managers tracking competitor

... Introducing the TikTok Trending Hashtags Scraper Powered by Apify! Are you building the next big social media analytics tool or a content curation platform? Our TikTok Trending Hashtags Scraper

... cases: Monitor competitor pricing and inventory changes automatically Build affiliate product catalogs with full image sets and descriptions Run sentiment analysis on customer reviews at scale Research dropshipping opportunities with complete market data Pair it with my Etsy Store Scraper

... different: No YouTube API key or quota limits Sort control (latest / popular / oldest) for trend tracking Scales to 1,000 videos per run Works inside automation pipelines via webhooks, scheduling, and API (n8n, Make, Python, JS) Use cases: Track competitor upload frequency and performance metrics Build content calendars from top-performing videos in your niche Generate training datasets for video recommendation models Monitor channels automatically and trigger workflows on new uploads Pair it with my YouTube Transcript Extractor and Video ... ... Scraper

... everyone, Joshua here. I m a Python Engineer with over six years of experience building large-scale data systems, automation tools, and web scraping infrastructure. Over the past few years, I ve worked with job platforms such as Jobbyo.ai and OptimHire.com , where I built and maintained large-scale job scraping

... just to find maybe 10 qualified leads. And then the worst part: I'd send those leads a generic "I can improve your SEO" email and hear... nothing. My breaking point was realizing I was acting like a web scraper, not a founder. So I built PackLeads( @Packleads )to automate the entire reconnaissance-to-close pipeline that agencies hate doing manually. How it works You type in a niche and a location (e.g., "Plumbers in Austin"). PackLeads scans the market ... ... they have an optimized website, and if they are showing up in AI search results like ChatGPT, Google AI Overview, and Perplexity. Each business gets a Need Score (0-100) so you instantly see who's desperate for help vs

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

... Most agencies don t rely on ads alone for lead generation. Instead, they: Identify niche websites in their target market Scrape publicly available data Extract emails + social links Build highly targeted outreach lists Website scraping

... There s a big gap in the market: Most email and data extraction tools are expensive, complex, and inaccessible for new founders and small businesses. So I built an affordable, beginner-friendly scraper that helps users: Paste multiple website URLs Extract emails, usernames, and social links instantly Get usable data without enterprise pricing What it does today Bulk website email extraction Username & social profile extraction Fast and simple workflow What s coming next Google Maps listing extraction is currently ... ... done via Instant Data Scraper

... shipped a batch of new updates to ProfileSpider , and I d love to get feedback from the PH community. What s new: Sub-page scraping (Enrich): Automatically follow and extract data from related profile pages and websites for deeper enrichment Company profile scraping

... MasterClass. It is a platform where people upload the materials that Google hasn't scraped their life's work, their gatekept notes, their philosophy, hot-takes, adventures, trivia, successes, failures, lessons as a vault of knowledge, that's not scrape

... same problem. What it does: Find communities fast I type in a few keywords and it spits out a list of related subreddits with member counts and activity stats. Way faster than googling "best subreddits for X." Bulk scrape posts I can pull 300+ posts from any subreddit in about 10 seconds. The killer feature? Filtering by comment count. I set it to "under 5 comments" and instantly see threads where the OP asked a question but nobody really answered ... ... blank text box. The whole thing runs locally on my PC (Win/Mac), so it uses my own IP instead of some datacenter that Reddit blocks instantly. Why free? Honestly, I built it for myself. The free tier does 15 scrapes/day

... everyone we just launched the LLM Chat Scraper series. If you need large-scale LLM Q&A data that reflects the actual responses users see in the web UI, this might help: Supports ChatGPT, Perplexity, Copilot, Gemini, Google AI Mode Captures front-end (web UI) responses unaffected by logged-in context/state Web search support included so you get full citation data when the model references sources We only bill for successful captures; failed/error requests are not charged ...