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: "How can I extract some aggregated web content from a page, without any hassle? For example, count of links"
Below is a simple Python example/response, and I'm also saving all examples in this GitHub repo: github.com/sgt-oz/SiteRows. As you can see, with SiteRows this is super easy. Think of the URL as your "DB", and the tags (@a, @img, @headings, @li, @meta) as your "tables".
Thanks, everyone. Please don't hesitate to reach out with any questions or feedback.

Hey everyone,

If you are currently building AI apps, running Multi-Agent loops, or setting up open-source WebUIs (like Open WebUI or Next Chat), you ve probably run into these two frustrating bottlenecks lately:

1. The Cost: Calling premium endpoints drains API budgets incredibly fast.

2. Rate Limits & Peak-Hour Latency: Upstream channels frequently throw HTTP 429 errors under heavy traffic. Waiting 30 80 seconds for a response during peak hours is just painful for any production app.

To solve this for my own development workflows, I ve been building a high-speed API relay station. It aggregates models like DeepSeek-V4, Qwen 3.7, GLM 5.1, Kimi 2.6, and Minimax-M2.7, with a primary focus on concurrency and stability.

I m building VertoX, a real-time AI translation platform that preserves your voice, tone, and emotions across languages.

Over the last 2 years, I ve faced a lot of challenges while building it.

Finding the right team.

Choosing the right technologies.

CodeRio converts Figma designs into runnable React projects and validates visual accuracy through automated screenshots and comparisons.

Design-to-code tools are everywhere, but visual accuracy and engineering usability are still hard problems.

CodeRio is an open-source Figma-to-React automation tool that focuses on what happens after code generation.

Hi Product Hunt

After 25 years working as an architect, I decided to take on a completely different challenge and build a software product.

Eight months ago, we started building Kognis, a personal intelligence system designed to help people capture, organise, prioritise, and recall the things that matter most.

As launch approaches, I've been reflecting on what has surprised me most during the journey.

I turned my free Alibaba quote sanity check into a small paid review service for ecommerce sellers who already have a supplier quote, sample order, or freight quote in front of them.

The problem I keep seeing: sellers get a quote with unit cost, MOQ, sample fee, shipping, packing size, Incoterm, and payment terms, but they do not know what is missing before they pay.

Hi Product Hunt. I'm Katherine from Pawse.ai, and together with co-founder Luis Magalh es, we built Pawse.ai because of Henry. (https://www.producthunt.com/prod...)

Henry is an English Bulldog we rescued in Cape Town. When we moved to Porto, the anxiety got worse. Every time we left the apartment, he would pace, pant, and destroy whatever was closest to the door. We tried everything: toys, treats, leaving the TV on, three different apps. Nothing held.

I started reading the research on canine auditory stress responses and realised the existing apps were built for human ears. Calming playlists, binaural beats, nature sounds, they feel right to us, but dogs hear differently. Their stress frequencies are different. What relaxes a human can be neutral or even agitating for a dog.

So we built something calibrated for Henry, not for humans. Frequencies, patterns, and transitions designed around how dogs actually process sound. Pawse.ai runs through your Apple TV or iPad while you're out. You control it from your phone. Five modes for different situations: separation, loud noise, travel, vet visits, and sleep.

Hey everyone

I recently launched ConverrtAny, a desktop file conversion app built around one simple idea:

File conversion should be fast, simple, and private.

The app supports 200+ formats across:

I am building RAYNOLSE, a smart jump rope we are preparing for a Kickstarter launch on June 30.

The product direction is pace-guided cardio: instead of only showing stats after a workout, the rope/app should help people know what pace to hold, how hard to go today, and how to progress without turning jump rope into a complicated fitness setup.