... Over the last four years, we've used, tested, and benchmarked close to 100 web scraping APIs and residential proxy providers across different websites and request volumes. One thing has become clear to us: there is no single best proxy provider. A provider that performs brilliantly and cost-effectively on Amazon might offer poor value on Etsy or struggle to maintain the same performance on Booking.com. Request volume changes the picture again. The best-value provider at 10,000 requests ... ... become significantly more expensive at 100,000 or one million requests. So the real question is: "Who is the best proxy provider for the websites I'm scraping

... Netfox 0.13.0 the endpoint that refuses to be careless Netfox can expose a read-only metrics endpoint, so your own monitoring can scrape your network. Handy and, it turns out, far too easy to leave wide open. Switch on "allow access from other devices" without setting a token and that endpoint was reachable from anywhere on your network with no authentication at all . What it serves is your entire device inventory: every IP, every MAC address, every hostname, every open ... ... demo or a screen share. An existing token moves across automatically; you don't re-enter anything. Constant-time token checks , because how long a rejection takes shouldn't hint at how close a guess was. If you scrape

... been stuck on a problem that won't leave me alone: the web was built for human eyes, but the fastest-growing "visitor" to most sites is now an AI agent that can't actually read them. Agents scrape HTML, guess at forms, and render a whole page just to find one price or one button. And every assistant wants a different integration. It started to feel like the early mobile web all over again: rebuild everything, once per platform ... ... started AI2Web - an open interoperability layer. You describe your site once, in a single manifest at /ai2w, and it projects to whatever an assistant actually speaks: MCP, ACP, AP2, REST, feeds. No scraping

... After years of building data pipelines and automation workflows, one problem still haunts every team I've worked with: proxy ...

... sets cannibalizing each other. 7. Search term mining and negative keyword lists. Finds the negatives I should have added last month. 8. Landing page and tracking QA. Checks every URL and pixel fire in the account. 9. Competitor ad monitoring. Scrapes

... audits Content strategy aligned with intent GA4 and Search Console analysis Technical SEO hasn't disappeared. It's just serving a dual audience. You aren't just optimizing for a Google crawler anymore. You're optimizing for LLMs that "scrape" and "digest" your site to provide citations . The exhaustion is real One SEO professional said it plainly: "I'm the SEO, the paid guy, the social manager, the email person, the designer, and the analyst, and I'm good ... ... that's still being invented. We need to be honest. We need to learn. We need to experiment. And slowly, we will evolve. From SEOs to whatever shiny new title this world gives us . The future isn't human versus

... 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

... breaking, and so on. - Vaizle - I work with Vaizle, but it has very easily emerged as my fav platform. Not even lying. I can keep track of ad performance, check what competitors are posting on social. And best part is that I can feed it my own website + competitors

... Product Hunt I m launching Pithom Labs Scraper a local, UI-first web scraper that turns browser clicks into repeatable scraping recipes. Most scraping

... 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

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... kinds of services and the way they massively collect and use information about users? In the EU, especially, this has become quite a big topic. Which services have you decided to stop using, or replace with more privacy-friendly alternatives? Comment from Nika(@busmark_w_nika): @unheardace13  I do not know about this at all. I just know that Apple is a big monopoly with their products :D but @surabhi_minocha could say something about that. Comment from ... ... just not available anymore for end users I'm using GrapheseOS on my phone, Qubes OS on my laptop and i'm in the EU so i'm pretty extremist regarding my own privacy! I'm using open source alternatives

... 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

... 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, it uses a bridge architecture connected to a dedicated scraping cluster making it ~90% faster, more reliable, and resistant to Reddit's anti-scraping

... 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

... 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

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... 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 pricing across idealo listings Market analysts benchmarking product categories and price trends Business intelligence teams building pricing dashboards Growth marketers researching product positioning and review sentiment Why use this instead of manual export? Idealo doesn't offer a public data ... ... tool, spreadsheet, or database. No proxies to manage. No browser automation to set up. Just data. Get started in 3 steps 1. Open data_alchemist/idealo-product-scraper on Apify Store 2. Paste the idealo product or category URLs you want to scrape

... built Auralify to address a tool that monitors how brands appear across AI-generated responses, not just traditional media and social channels. Still early days on some of this. The technical challenges are real (you can't just scrape an AI assistant like you scrape

... language people actually ask , not just what they type . Finding #5: One URL Can Carry You For Superwhisper, one single Product Hunt URL drove 1.6% of their ChatGPT visibility and 5.5% of Google AI Overview visibility. Compare that to competitors relying on dozens of Reddit threads and YouTube links. The signal: LLMs consider Product Hunt pages to have high authenticity and authority. One well-structured page outperforms dozens of lower-quality sources. Finding #6: Model Behavior Is Volatile ChatGPT updates ... ... Gaming Works (For Now) Old-timers remember keyword stuffing in early Google days. LLMs are in the same phase. Common tactic: mass-producing authoritative-sounding listicles where publishers name their own product as "best" across multiple categories. LLMs scrape

... 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

... radhouani  it is pricey, I would go for limited times of use, because you know, in 7 days, they can also make high costs :D Comment from Dan Sealey(@dansealey): I tend to draw the line at utility versus cost. Free should let people understand the product, trust the thinking behind it, and get genuine value without feeling cornered. Paid should begin where the experience becomes materially more powerful, personalised, or expensive to deliver. That s also the balance ... ... alone! Comment from Nika(@busmark_w_nika): @daemkl  so what are the free features? What are they? Comment from Nika(@busmark_w_nika): @ismaelyws  Maybe try LinkedIn, that's quite aversive and strict against scraping

... because the idea is bad, but because they validated with surveys instead of money. Stack is intentionally boring: Next.js, Supabase (auth + DB), Vercel for hosting, Stripe for billing. The interesting part is the research engine underneath we scrape job boards, Reddit pain threads, and competitor

... 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

... what you are looking for. The feed shows everything, but not always what you actually care about. I didn t want auto replies or AI slop, there's already enough of that happening on LinkedIn. I didn t want scraping. I didn t want some aggressive growth tool so my account gets flagged. I just wanted my LinkedIn workflow to feel organized. So I started building Linkeezy. We do not scrape