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AI · alternatives · 2026

24 alternatives to rtrvr.ai – AI Web Agent for Automating Workflows and Data Extraction

Hey HN, I'm excited to share rtrvr.ai, a Chrome extension that brings the power of AI agents to your everyday web browsing. It's designed to automate complex web tasks, extract structured data from any website, and integrate with your favorite tools as you browse using AI Function Calling [ie: “Send this page summary as Slack message”]. The core idea is to let anyone, even non-developers, leverage the power of web automation and data extraction using natural language. Imagine being able to: Automate lead generation: Extract hundreds of LinkedIn profiles to Google Sheets, complete with…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. rtrvr.ai – AI Web Agent for Automating Workflows and Data Extraction launched in 2024; newer entries below may have overtaken it.

  1. 1

    No one’s got money for another AI subscription. So we made our browser agent totally FREE. What's the catch? Just ads while Retriever AI fetches you leads, does your exams, applied to jobs, and sends connection requests. Think like a Claude Code or Clay level tool in your browser, but free for everyone! After 35K+ users and 7M+ workflows, we spent the last few months attacking the cost of every agent step: - switching to DeepSeek Flash - Code Mode to one shot complex workflows - optimizing for 80%+ token cache hits So that now just an ad impression covers the entire cost of the agent (LLM…

    2025 · rtrvr.ai · its alternatives →

  2. 2

    Turn your website into an AI agent with one script tag.

    Feb 2026 · rover.rtrvr.ai · its alternatives →

  3. 3

    AI Web Agent to do tasks autonomously and extract data

    2024 · chromewebstore.google.com · its alternatives →

  4. 4
    RankAI▲581

    Hey HN, we are building Rankai (https://www.rankai.ai), an AI agent that pushes SEO blogs and code fixes automatically to your site. My teammate previously scaled a product to 4M users via organic traffic and SEO. And we understood the importance of driving SEO traffic for small businesses. But after we talked to a lot of small businesses and startups, we realized that majority are not doing SEO at all. For them, learning and doing SEO weekly is too time-consuming, and no way they'd hire an agency for $4k+. So we tried to automate each step of SEO process in an agentic way using…

    Apr 2026 · rankai.ai · its alternatives →

  5. 5
    Browse AI▲548

    Train a robot to scrape any website in 2 mins with no-code

    2021 · browse.ai · its alternatives →

  6. 6
    Clark▲264

    Hey folks, I've been building Clark solo, with the aim to match Manus agent (I really like it!) in features and capabilities, but also in its relentless ability to just complete tasks while using browser, computer etc. So far I think I've achieved 1:1 core feature parity: 1) computer use agent 2) browser use in same thread 3) wide and deep research - clark calls clark 4) integration with google tools Would love to have community feedback and for you to try it out, a couple thousand people already using it daily for very broad use cases. You can use this referral link, that hopefully works…

    Jul 2026 · clarkchat.com · its alternatives →

  7. 7

    We built AI Subroutines in rtrvr.ai. Record a browser task once, save it as a callable tool, replay it at: zero token cost, zero LLM inference delay, and zero mistakes. The subroutine itself is a deterministic script composed of discovered network calls hitting the site's backend as well as page interactions like click/type/find. The key architectural decision: the script executes inside the webpage itself, not through a proxy, not in a headless worker, not out of process. The script dispatches requests from the tab's execution context, so auth, CSRF, TLS session, and signed…

    Apr 2026 · rtrvr.ai · its alternatives →

  8. 8

    I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here. Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly like this: 1. Take a screenshot 2. Have the model predict pixel coordinates 3. Click x,y 4. Take another screenshot 5. Repeat That works, but it's slow, expensive in tokens, and fragile. If the UI shifts a few pixels, things break. And the model still doesn't know what any element actually is. But the…

    May 2026 · github.com · its alternatives →

  9. 9

    hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…

    May 2026 · github.com · its alternatives →

  10. 10

    Hey HN. http://peerd.ai is an AI agent harness that lives entirely in your browser as a web extension. You don’t have to install a separate “AI browser”. You don’t have to bolt on or run some external process or manage a clunky mcp integration. It’s just a fully contained web extension, written in no build vanilla JS with minimal non-browser dependencies, using your own provider keys, and Apache 2. This isn’t just a fun hack. While it has largely been a solo side project, I genuinely believe the browser and the web could be the most natural platform for AI agents to operate safely,…

    Jun 2026 · github.com · its alternatives →

  11. 11

    Your smart web companion, surf smarter

    2024 · sitescripter.co · its alternatives →

  12. 12

    Hey HN! My name is Christian, and I’m the co-founder of https://frigade.ai. We’ve built an AI agent that automatically learns how to use any web-based product, and in turn guides users directly in the UI, automatically generates documentation, and even takes actions on a user’s behalf. Think of it as Clippy from the old MS Office. But on steroids. And actually helpful. You can see the agent and tool-calling SDK in action here: https://www.youtube.com/watch?v=UPe0t3A1Vpg How is this different from other AI customer support products? Most AI "copilots" are really just…

    2025 · frigade.ai · its alternatives →

  13. 13

    Hi, I've been watching the rise of AI agents with a mix of excitement and dread. We're building incredible tools that can browse the web, but we're forcing them to navigate a world built for human eyes. They scrape screens and parse fragile DOMs. We're trying to tame them to act like humans. I believe this is fundamentally wrong. The goal isn't to make AI operate at a human level, but to unlock its super-human potential. The current path is dangerous. When agents from OpenAI, Google, and others start browsing at scale and speed, concepts like UI/UX will lose meaning for them. The entire…

    2025 · github.com · its alternatives →

  14. 14

    Automate web scraping with AI—right from your Chrome browser

    2025 · its alternatives →

  15. 15

    AI-Powered Web to PDF: Extract, Summarize, Archive

    2025 · webtopdfdoc-production.up.railway.app · its alternatives →

  16. 16

    Hi HN, I'm Jared from Drafting AI (https://getdrafting.com/). We're a Chrome extension that helps operations and customer support teams work through their inboxes more efficiently. Here's a quick demo video: https://www.youtube.com/watch?v=PCDqAMaYx2Q We believe AI can be deployed more widely when you mitigate hallucinations through human-in-the-loop review. This led to two decisions: 1. A Chrome Extension is ideal for presenting actions in third-party apps for human review. When AI suggests issuing a refund via Shopify, what better way to show it than through…

    2024 · getdrafting.com · its alternatives →

  17. 17

    This chrome extension control your browser with ai

    2025 · github.com · its alternatives →

  18. 18

    Empowering you to build your own AI agents

    2025 · norns.ai · its alternatives →

  19. 19

    AI-driven Web Scraping for everyone, No Code needed

    2024 · webtap.ai · its alternatives →

  20. 20

    Hi HN, Bhavani here (rtrvr.ai). We build DOM-native web agents (no screenshot-based vision, no CDP/Playwright debugger-port control). We handle captchas natively including Google reCAPTCHA image challenges by traversing cross-origin iframes and shadow DOM. The latency is high on this one currently. The problem: when debugging image selection captchas ("select all images with traffic lights"), logs don't tell you why the agent clicked the wrong tiles. I found myself staring at execution logs thinking "did it even see the grid correctly?" and realized I just wanted to watch it work. So we…

    Jan 2026 · rtrvr.ai · its alternatives →

  21. 21

    Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session operation, isolated multi-account browsing. - browser-act/skills

    Jul 2026 · github.com · its alternatives →

  22. 22

    Hi HN, I'm one of the creators of Nanobrowser, an open-source Chrome extension that lets you automate web tasks using AI agents. We were inspired by the potential of tools like OpenAI's Operator, but we wanted something that was: -Open-Source:You can see the code, modify it, and contribute to the project. -Browser-Based:No complex setups or server deployments. It runs directly in your browser. -Customizable:You can tailor the agent's behavior to your specific needs. -BYO LLM:Bring your own large language model API key (OpenAI, Anthropic,or even local models), No vendor lock-in. -Privacy…

    2025 · github.com · its alternatives →

  23. 23

    We built meta-agent: an open-source library that automatically and continuously improves agent harnesses from production traces. Point it at an existing agent, a stream of unlabeled production traces, and a small labeled holdout set. An LLM judge scores unlabeled production traces as they stream. A proposer reads failed traces and writes one targeted harness update at a time, such as changes to prompts, hooks, tools, or subagents. The update is kept only if it improves holdout accuracy. On tau-bench v3 airline, meta-agent improved holdout accuracy from 67% to 87%. We open-sourced meta-agent.…

    Apr 2026 · github.com · its alternatives →

  24. 24

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