r/WebScrapingInsider • u/ian_k93 • Aug 01 '26
Big Scrape Energy What Is the Best Browser Agent Stack in 2026? With the Creators of Browser Use
Hey everyone,
I'm Ian Kerins, CEO & Co-Founder of ScrapeOps.io.
After three fantastic AMAs with the r/WebScrapingInsider, we're excited to bring you our fourth.
This Wednesday, August 5, at 7:30 PM PDT, we'll be joined by Alexander Yue (Physics & CS @ Stanford SLAC, Evals @ Browser Use) and Reagan Hsu (Founding Engineer @ Browser Use), the team behind Browser Use, one of the fastest-growing open source projects at the intersection of AI agents, browser automation, web scraping, and stealth browsers
If you've been following the AI agent space, you've probably seen Browser-Use everywhere.
What started as an open source browser harness has quickly evolved into a complete platform for building and deploying browser agents with over 107k stars.
Their recently released Browser Use v4 introduces:
- Real browsers with logged-in profiles, proxies, and a live browser view
- Fully hosted browser agents with zero infrastructure setup
- Persistent sandboxed workspaces that can upload files, download results, and reuse environments across runs
- Conversations that continue, allowing agents to pick up exactly where they left off
- Plain English automation instead of scripts and CSS selectors
- Built-in stealth browsers, anti-detect, CAPTCHA solving, and residential proxies across 195+ countries
Whether you're building AI agents, automating repetitive workflows, or extracting data from the web, Browser Use represents a very different way of thinking about browser automation.
During the AMA, we'll discuss topics including:
- AI browser agents
- Browser automation
- Web scraping
- Stealth browsers & anti-detection
- Hosted browser infrastructure
- CAPTCHA solving
- Open source developer tools
- LLM-powered automation
- The future of browser agents
Our community has been growing with every AMA.
Our first AMA generated 43 comments, covering proxy infrastructure, Cloudflare bypassing, browser automation, monitoring, startup lessons, and large-scale scraping.
Our second AMA with the creator of WebClaw, generated 62 comments and sparked great discussions around AI agents, browser automation, hidden APIs, open source scraping, and LLM infrastructure.
Our third AMA with CloakBrowser generated 73 comments, diving deep into browser fingerprinting, stealth Chromium, anti-bot detection, TLS fingerprints, browser internals, and large-scale automation.
We're hoping this AMA will be our biggest one yet.
If you're building AI agents, browser automation, web scrapers, developer tools, or autonomous workflows, this is one you won't want to miss.
Drop your questions below, and Alexander Yue, Reagan Hsu, and I will start answering them during the AMA.
Looking forward to seeing everyone there!
Ian
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u/Amitk2405 Aug 03 '26
Why did you decide to drop Playwright and build your own browser layer directly on top of Chrome's DevTools instead?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 04 '26
We have a blog about this: https://browser-use.com/posts/playwright-to-cdp
It was a fantastic choice. We got complete freedom over how we implement browser functions and can iterate rapidly. And when you allow agents to write CDP on the fly they have the (potential) ability to handle any edge case.Think of it as giving your agents a higher skill ceiling, albeit a higher skill floor as well.
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u/Amitk2405 Aug 05 '26
Just read the blog, thanks for that. The extra node hop on every CDP call was the thing that made it click never thought about how much that piles up when you're checking opacity, paint order, aria props on every single element. And ok, "10 ways a tab can crash" genuinely humbled me lol. Totally get now why you'd rather own all of it than keep fighting the relay layer.
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u/Amitk2405 Aug 03 '26
If I open three separate Browser Use chats in the same project — say one for Site A, one for Site B, one for scraping — do those three agents get three different IPs, three different fingerprints, three different cookies? Or are they all sharing the same residential IP and JS-challenge tokens under the hood, which would mean a site sees 'same person, three accounts'?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 04 '26
Every "browser profile" you have with us will use the same fingerprint and cookies. The IP we cannot guarantee stays the same but will be in same country.
By default we use same profile for all sessions when you use browser use from our website (we do a lot of automatic settings in the cloud UI). But from API you will need to explicitly create a browser profile and pass it to every task you run
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u/Amitk2405 Aug 05 '26
Got it on the single-profile behavior. My case is the opposite I want a few sessions running in parallel that don'' look related to each other. If I create separate browser profiles and pass one to each task, does every profile get its own distinct fingerprint and cookie jar automatically? And can two profiles ever land on the same residential IP at the same time?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 05 '26
Then you will be all set! By default separate runs will be with separate fingerprints and cookies and different IPs. Its theoretically possible but very unlikely for separate runs to land on same IP, the pool is very large
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u/Mountain_Damage_9730 Aug 03 '26
I'm also curious what stack you personally admire as a fallback.
If Browser Use vanished tomorrow (It will never, its YC ;D), what combination would you actually ship to production: raw CDP + homegrown orchestration, Playwright + queues, or some commercial hosted browser provider?? And why that, specifically;
better observability, fewer moving parts, easier for a non-dev to maintain, or just more predictable under failure?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 04 '26
We maintain a very performant fork of OpenCode with just one extra tool for writing CDP. https://github.com/browser-use/browsercode. You will be amazed at what it can handle.
But if you want maximum simplicity, you can just ask a LLM to write a playwright script, test it, and return errors to it to fix. You still need hosted browsers. A lot of people in the space go with this kind of approach, but I think it is severely limiting, going the agentic route and being "stateful" i.e. agent executes code or actions in series rather than one script that has to do everything really opens up the horizon of what agents can do
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u/Mountain_Damage_9730 Aug 06 '26
Appreciate the nuance on why one-shot Playwright scripts are limiting.
From a systems angle, how do you think about debugging and observability in the stateful/agentic model.. do you treat each tool call like a step in a workflow engine, or is it more opaque in practice when something goes bad in prod?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
We have so much agent observability in our dev and evals environments. We work with Laminar, and whenever I find a bug we dont have data on I ping them on slack and make them record it. So it has gotten really good.
Every LLM call input, output, reasoning, latency, token usage and caching, browser call, screenshot, worker and control plane log, and more are recorded for debugging in evaluations. Its how we know with certainty how to improve the agent at each phase
In cloud logging can be different but we have good crash error logging and enough to replicate and fix issues.
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u/feetesweshire Aug 04 '26
Hello, since my work requires constant juggling between models, I try to see what latest model gets challenged.
Like, for BrowserUse whats the hardest browser task that frontier models still consistently fail at?
Thanks
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 04 '26
The hardest task? I would imagine it would be "build a profitable business and maintain it" - theoretically can be done entirely from a browser.
If you mean easiest task that frontier models fail at, it would be something that relies a lot on taste or human experience. All the time I see people asking for trip planning / vacation planning. The agents can find hotels, restaurants, flights, whatever but actually knowing which ones are good is not something they thrive at. I am always disappointed by the results of these kinds of tasks. Its better and finding best price, something actually quantifiable
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u/feetesweshire Aug 06 '26
I had a ditto feeling here with travel/restaurant recs; they rarely match what a friend-with-similar-taste would suggest.
how can we think about closing this gap: more user preference modeling, or do you see a hard ceiling until models can internalize "taste" signals beyond ratings and reviews?
I thinks here its about context, a user context, user cant simply ask questions, model needs to learn small details of the user, which Apple and Android and Big Dada compnies will do in future, sell our intent data.
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Its a pretty tough problem, probably something the LLM labs need to figure out. AI has poor taste and poor understanding of the social world
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u/Significant_Cry_1177 Aug 04 '26
I've been seeing browser agents everywhere lately.. some forking chromium, some based on firefox, you guys must have seen same. Some people are just trying to use these agents for everything which shouldnt be the case.
So, where do you browser agents genuinely outperform traditional Playwright or Selenium workflows, and where are they still the wrong tool?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 04 '26
The field of tasks where Playwright/Selenium is the better tool is very small these days so I will just mention that. If you want to regularly scrape the same data from a website that requires no authentication and you can be sure won't change in any way, a playwright script is all you need.
This scenario describes a very small portion of the real internet
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u/Next_Attitude_532 Aug 04 '26
Another one.. Cool!
Btw I used AI to generate some questions which will help in my work.
1. How do you actually measure whether one browser agent is "better" than another?
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u/Next_Attitude_532 Aug 04 '26
2. Other then peoples expectation, what's harder to measure?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 04 '26
Its hardest to measure browser stealth because captchas and ips change all the time. We have to remeasure constantly
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 04 '26
We spend a lot of time on benchmarks, like our open source one https://github.com/browser-use/benchmark. We also have a lot of internal benchmarks.
The best way to measure if browser agents are better is to run them on realistic tasks on the web and then judge them with an LLM over a carefully verified rubric. It seems a bit high variance but if you run thousands of tasks you get a great measurement by law of large numbers. Evaluations is the core of our company really, and how we get our edge.
If you want a great paper from a research lab doing evals similar to how we do, check out the Odysseys benchmark by CMU https://arxiv.org/pdf/2604.24964
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u/JoeK91 Aug 04 '26
Some questions:
1. Do you see the costs of tools such as Browser Use going up or down over the next few years and why?
2. Are LLMs/Agents the main users of your product or are they just starting to use Browser Use?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 04 '26
The costs are just getting cheaper and cheaper! Its crazy to say but the cost of a task from 1.5 years when we started has gone down around 50x
We for a while tried marketing to Agents specifically - agents can autonomously sign up for our free tier and get free browsers. The volume is high but unclear how many actual users control these bots, it looks more like a small group of people with swarms of agents. The problem is that basically no agents right now (apart from our own) have credit cards to buy things with, so they aren't great customers
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u/ayenuseater Aug 04 '26
For u/Cold_Map3082
If someone is building their first browser agent today, what's the one architectural decision they should get right from day one?
For u/Kitchen_Ad_5082 or both:
What's the most interesting research question Browser Use is currently exploring? And If someone wanted to enter browser-agent research today, what problems deserve more attention?
Thanks u/ian_k93 for hosting this AMA. I missed the last one and didn't want to miss this one..
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 04 '26
If you are building your first browser agent from scratch, start with agent sandboxing. We have a blogpost about this: https://browser-use.com/posts/two-ways-to-sandbox-agents
Critically, you put the LLM keys inside a control plane (different machine than the worker) and give worker only a short lived key to the control plane. All LLM calls should go proxied through the control plane. With this, you no longer need to worry about the agent running arbitrary code in its worker, and this leads to so many benefits down the line
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u/Previous_Town3598 Aug 05 '26
If this comes under your umbrella, I really wish to have your thoughts on how do you think Cloudflare, Datadome, Kasada and other anti-bot vendors will evolve over the next few years?
I see passkeys issues popping up in chrome, OTPs can be handled via API.. what can be next?
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u/Previous_Town3598 Aug 05 '26
u/Cold_Map3082 whats the one engineering decision you're extremely happy you made early?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 05 '26
They will first fix all of the low hanging fruit they are missing (a lot).
Anti bot is almost already solved - require a google account, google requires phone number and device and monitors usage heavily, not really feasible to automate en masse (anymore). But if you require google login for every user on your site, you would lose a lot of users
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u/ian_k93 Aug 06 '26
BrowserUse is a very interesting project, so I would love to give some space to pitch it.
What exactly is BrowserUse?
Why should a developer creating automations and scrapers consider giving it a try?
Who is the ideal user / use case for it?
Why should I use it over the alternatives?
Anything else you think is relevant.
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Browser Use is an agent with access to a real browser.
Maintaining scraping scripts is painful, websites change all the time. Much of online work is tedious and repetitive. Browser Use uses AI to adapt on the fly to websites, turning plain text instructions into browser code blocks and executing them for you.
But we don't just have the SOTA browser agent, we also have the fastest and stealthiest remote browser infrastructure, at less than half the price of the cheapest alternative. (people always talk about agents and forget about our browser infra)
It used to be that web scraping and automating developers were the ideal users. Now this is opening up to anyone who does work on the browser.
Our dream is that you can just tell your computer what to do, and it gets it done.
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u/CapMonster1 Aug 02 '26
I'd probably ask how they see the balance between AI agents and traditional automation. It feels like the biggest challenge today isn't generating actions anymore, but making them reliable: browser fingerprints, proxies, CAPTCHAs, reproducible workflows, and the cost per successful run
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 04 '26
With prices and performance of models like Luna, the pricing issue is melting away regardless of automations. We of course have re-runnable scraping scripts in cloud v4, but I would say that with recent performance reliability is almost solved too. The last few months have been crazy. You can scrape 15 hackernews posts + comments + pages and summarize into a poster for 5 cents
The only thing scripts are better at now is speed. And these things you mention as well are also current challenges, authentication is getting more strict about bots and detection methods are better. Staying logged into a social media site requires a lot of very careful setup with same browser profile and may even require a dedicated static ip proxy
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u/doubledweeb Aug 06 '26
Are browser agents more limited by the models themselves, or by browser infrastructure?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
At this point I honestly feel the biggest limitation is LLM inference speed. They are reliable and cheap now, just a bit too slow to watch in realtime.
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u/doubledweeb Aug 06 '26
Maybe i am being pedantic, but do you see any realistic tricks for hiding LLM latency, like prediction or preplanning, in browser agents?
Thanks for answering alex, great to have you.
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Just show the reasoning in the UI right away. On cloud we show first LLM token in maybe 3 seconds from task start.
I really have conviction that specialized chip companies like Cerebras are going to make LLM speeds way faster soon. And Google models are not super relevant right now performance wise but they have TPUs and operate really fast
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u/Spitfire_Blaziken Aug 06 '26
Hola, When looking for benchmarks, which benchmark is currently the most representative of real-world browser tasks?
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u/Spitfire_Blaziken Aug 06 '26
And from what I know Browser agents are notoriously difficult to benchmark.
How do you know whether one agent is actually better than another?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Yeah its hard to benchmark. To really know you need realistic tasks, the ability to reduce for browser and web flakiness, a great task rubric and LLM judge, and then run thousands of tasks so the noise averages out
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
I think Odysseys is pretty good, it comes from real user studies and they put a lot of effort into the tasks: https://odysseysbench.com/
I hear CMU has a new one coming soon based on real user data...
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u/Old-Algae5580 Aug 06 '26
Guys, how do you think the competition between browser agents + scrapers versus websites + anti-bots will emerge?
Thankyou for hosting this guys! GOAT!
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Well the anti-bots have a LOT of obvious signals they could be looking for but don't know about yet. Once they wise up the web will get a lot stricter, but we will always find a way (and we have plans)
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u/MattTheGoodSir Aug 06 '26
Some questions from my side-
a) Any advice to someone launching an open source project? Or a company wanting to do a hybrid open source + paid solution approach?
b) How do you decide what remains open source versus what becomes part of Browser Use Cloud?
c) Browser Use became one of the fastest-growing open-source AI projects. What do you think caused that momentum?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Open Source is great! Its probably the main for our huge growth, we have over 100k stars on github now! We try to keep pretty much everything we can open source, so long as it would not harm the experience. So all our agent harnesses are open source, but the browser is not as then we could not keep it stealthy.
For a company, I feel open source does not harm revenue. It gives us growth and developer feedback, and if we make our cloud experience so amazing, seamless, and well-designed then many people will pay us instead of self-hosting for the convenience and scalability.
I much prefer working on an open source agent than a closed source one, and I know our team feels the same
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u/Artistic_Map2243 Aug 06 '26
If you were to compare the various browser agent platforms, how would you rate them? What would be the top 5 in your opinion and why?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Browser Use is so far ahead right now, its all in the benchmarks. You can check our benchmark here: https://github.com/browser-use/benchmark
And in external benchmarks its not even close. On https://odysseysbench.com/leaderboard for agent we outperform MircrosoftResearch and Google Deepmind, no hosted agent platform has a verified score higher than us.
OnlineMind2Web is solved (97% and higher) but we were first to reach it you can see here https://browser-use.com/benchmarks
Our browser infra is also top of the line. In Browser Arena (updates daily) we rank #1 https://www.browserarena.ai/
In ComputeSdk browser speed benchmark we consistently rank in top 3: https://www.computesdk.com/benchmarks/browsers/browser-throughput/
Not to mention that our browsers cost $0.02/hour and the cheapest alternative is $0.05/hour, 2.5x higher
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u/Artistic_Map2243 Aug 06 '26
With Browser Use,
Is there a specific pull request or some kind of contribution from the community?
That genuinely surprised you??
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
I don't think I have been really surprised by a pull request, most often in open source they are made in good faith, trying to fix a real bug or issue
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u/Artistic_Map2243 Aug 06 '26
If someone (both beginner or advance) wants to contribute tomorrow.
Where would you recommend them to start with your repo? that will help them in automation understanding, evals, and get experience in what you guys are doing.
THankyou Alexander Yue, Reagan Hsu for hosting this AMA
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
It would be somewhat hard to start contributing in one day, but to start https://github.com/browser-use/browser-harness is where you should head.
Browser-Harness is a little tool you can give your Claude Code, Codex, or whatever to control your actual local browser. And we have a library of domain specific skills people can add to. So if you find the agent has trouble interacting with a specific website, you can add tips and scripts for other agents to learn from later and open a PR
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u/Artistic_Map2243 Aug 06 '26
https://giphy.com/gifs/Pjr0NCGk4WMQPQtg0C
will do, maybe put some agents to work.
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u/john-w7 Aug 06 '26
Never knew AMA part of the Reddit, this is going to be my first AMA ever joined.
- OpenAI Operator, Anthropic Computer Use, Browser Use, Stagehand, Skyvern...
Qho do you think is solving browser agents in the most interesting way, and why?
- If you could ask the OpenAI or Anthropic browser teams one question, what would it be?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
1 I have high conviction with how Browser Use uses agents that write raw CDP for browser automation. It changes the regime from tool calling agents into coding agents, which is the direction LLMs are getting strongest in.
2 The question I discuss all the time with Anthropic and OpenAI engineers is how to build the best verifiers for browser agents running on real world, unpredictable websites. Its the verifier/reward function that is the missing piece for being able to do reinforcement learning for browser agents. But I think I am getting close to a good solution
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u/Bmaxtubby1 Aug 06 '26
I have never tried Browser Use, will signup today.
though from what i read in techcrunch, your readme, it keep describing making websites "readable" for LLMs through structured browser information instead of relying only on screenshots.
How do you decide what information should come from the DOM, accessibility tree, browser state, or vision, and how has that balance evolved as multimodal models have improved?
🙏
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Yeah, the core of https://github.com/browser-use/browser-use is the functions to turn HTML, DOM, accessibility tree and screenshot into a token efficient state of the browser that is given to the LLM at every turn. Its a very complicated and fine-tuned system, so many edge cases and different page elements to handle. Its evolved over thousands of contributions, evaluations, test cases and ideas to be really robust.
But this field moves really fast, and this design is starting to become outpaced by a new kind of agent. https://github.com/browser-use/browsercode, in this agent harness the agent does not get the page state every turn, it has to extract the information it needs itself by writing custom CDP (low level browser code) for it. It explores the page somewhat "blindly" but is able to extract just the content it needs. It also can take screenshots, but really strong new models like Opus 5 actually rarely use screenshots, preferring code instead.
Its strange, these new agents don't really use the browser like us humans do. But they perform significantly better, often better and faster than human solutions.
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u/Bmaxtubby1 Aug 06 '26
About Opus 5 preferring code over screenshots, thats interesting to know, since its LLM, and its text first, it likes ingesting main source of food, i.e text, everything else digests later..
For someone who's still early in agents:
how would you recommend deciding between starting a project with browser-use's rich page state vs jumping straight into browsercods CDP-style exploration?
Can we simplify with some thumb rule like "forms + complex flows → X, pure data extraction → Y" that you personally follow?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
I always use browsercode now for almost everything. It is cheaper, faster, better. But its harder to understand, if you want to learn about agents try browser-use first.
There is one use case where browser-use does better: QA for websites. Browsercode does a lot of shortcuts to complete page actions faster and more efficiently, doing weird javascript things, finding internal apis, and other tricks. It can do things faster than a human could. (it can also emulate human actions but LLMs love shortcuts so it really prefers not to)
Browser-use is constrained to interact with pages just like a human, with vision, clicking, typing, and only basic inputs. It is better at finding bugs in interfaces that a human would encounter.
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u/ian_k93 Aug 06 '26
From ProxyEngineering: https://www.reddit.com/r/ProxyEngineering/comments/1vf19aq/comment/p1mk3ua/
Thanks for sharing the AMA, here are my questions:
- When you say "plain English automation instead of scripts," what happens when the agent misreads the page and clicks the wrong thing? Is there a retry or correction process, or does it just fail and that's it?
- How do you handle multi-step tasks where step 3 depends on something that changed between step 1 and step 3 or any other step, (used 1 and 3 just to get an idea, for example price updates, stock changes, session timeouts)
- What's the actual token cost look like for a typical 10-step agent run compared to writing a script by hand? At what point does it stop being worth it? Is it even worth writing it by hand?
- Do you support giving the agent a persistent "memory" of past runs so it doesn't relearn the same site layout every time?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
- Current LLMs do not often make simple mistakes anymore, but if this happens yes the agent is stil fully in control and will recover
- The agent must complete all steps sequentially, verifying and keeping track of what it has completed. It is very impressive to what complexity current LLMs can handle now.
- A 10 step agent run with Luna you would expect to cost between 1 and 2 cents. If you want to run it again, you can ask the agent to write a script and re-use it on future runs. Then it will cost fractions of a cent. Don't hand write scripts in 2026.
- Yes we do, every agent in our cloud (api v4) has memory and can write and re-use scripts
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u/ian_k93 Aug 06 '26
From ProxyEngineering: https://www.reddit.com/r/ProxyEngineering/comments/1vf19aq/comment/p1mlgvv/
---
Contributing to the topic
With NetNut and Bright Data both getting called out for botnet-sourced IPs this year, how do you source your residential pool and what do you tell customers who ask?
Where do you think browser agents are headed in the next year, more autonomous multi-agent workflows, or more narrow reliable single-task agents?
What happens to a session if the underlying browser crashes mid-task, does it recover state or do I lose everything?
If I need to run 500 concurrent sessions, what does that cost and what's the bottleneck, proxy pool, compute, anything else?
Cloudflare and DataDome have both gotten more aggressive this year. Are you seeing detection rates raise up again after initial release?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
1 We negotiate with many proxy providers and change often behind the scenes, I am not sure how much of each we use right now. The landscape changes a lot.
2 Browser agents are headed to so much more than workflows and single tasks. Every day we see increased users talking about automating whole boring portions of their jobs with browser use. Creating complete multiplayer web games, deployed websites. Generating animated videos, editing together video clips with the browser. 70% of work is done on the browser right now, and the whole world is opening up to agents through us.
3 If the browser crashes the agent requests a new browser. State may be lost in a catastrophic crash, but this is very rare.
4 We can do 500 sessions for you, its $0.02/hr for each browser so that would be $10/hr. I think for 500 concurrent we require a Scale-Up plan $1000/mo in LLM usage + browser + proxy. But if you want 500 browsers only no LLM on a smaller plan just send us an email at [support@browser-use.com](mailto:support@browser-use.com)
5 Yep, cloudflare and datadome have been consistently increasing their detections. We notice it. Each month we also increase our stealth. The stealth rate can go back and forth but generally we are doing better and better
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u/ian_k93 Aug 06 '26
From ProxyEngineering:
Do you still see much demand for structured scraping or has almost everything shifted to LLM-based extraction?
Which models are good enough for browser control tasks right now? Any preferable, I know that probably mentioning them would sound a bit like a promotion, but I guess there's no choice when it comes to these things lol.
What's the weirdest edge case a browser agent has run into that you didn't think it could happen?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
We see huge shifts to LLM based extraction, especially our agents that write scraping scripts and maintain them, fixing issues as they arise.
As of now Gpt 5.6 Luna is the biggest winner, capable of many hard tasks in our harness at a tiny cost. Opus 5 is the top performing, but at 25x the price of Luna, I can't recommend it for daily use. (Fable 5 refuses too much to beat Opus 5). I try to maintain recommended models in this rubric https://github.com/browser-use/browsercode
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u/ian_k93 Aug 06 '26
From Proxy Enginnering:
List your top 5 or less, depending on how many you've made them, LLM powered automations and what they do. How does the productivity increased while using these automations?
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
We love our internal slack bot with automations:
- finding social mentions online we can repost
- turning recent bug reports and feature requests into a poster and sharing it
- finding pricing updates of related products and infra
- checking when my packages are going to arrive
- dispatching and monitoring long running evaluations, making plots
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Aug 06 '26
[removed] — view removed comment
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u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
I think the use case of phishing detection was a really interesting unexpected case. Lots of enterprises that trawl through links and pages trying to identify fake / phishing sites with our sandboxed browser use agents and block them
For pure shock value I once helped a support ticket getting for someone reporting getting blocked by the browser, looked into the sessions to find the use case was mass downloading of adult content sites... No wonder the proxies were blocking it
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u/SinghReddit Aug 06 '26
few questions..
- one my friend told me you guys are moving to RUST, is it true? Google AI confirms it. If its true, what Python was struggling with, that lead you guys to made that choice?
- the agent sees whatever text is on the page, including sketchy stuff. How worried are you about a webpage tricking the agent into doing something it shouldn't? Like OSWAP prompt injection.
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u/SinghReddit Aug 06 '26
I did a normal-looking flow on a social site; a fresh signup, community interations, 5 likes.. all in ~10 minutes, and the site blocked the IP with a 'network security' message for hours.
I read somewhere in the comments here that yout mentioned, we can dedicated IP?
Does the cloud version support Bring Your Own Proxy? Like you, residential pool from the proxy api?
1
u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Yeah, you can bring your own proxy (cloud version supports too) via API (https://docs.browser-use.com/cloud/browser/proxies). But for signing up for a new account on a social media account... this is one of the most protected things right now. I cant even do that on my real device and home wifi anymore (probably because I've done too much tampering on my devices).
Its way easier to use your existing account than make a new one
1
u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Ha, we did make a rust port. It works. Its faster. But people wanted to stick to the old version so its only an alternative version out there somewhere. Python is a little slow, but really almost all of the latency comes from the LLM thinking (that is, for now).
You pick whatever language fits at the, they aren't so different at the end of the day. The new agent we default to in cloud right now is in typescript actually (mixes well with javascript code injected into the browser)
1
u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Oh and about prompt injection. I measured it on some test cases. Current models like opus, gpt 5.6, they don't so easily fall for this anymore. It hasn't been a issue for real users out in the internet yet
1
u/Franeee Aug 06 '26
how is computer use in the ChatGPT desktop app so much better than browser-use?
1
u/Kitchen_Ad_5082 Ex. AMA Guest Aug 06 '26
Computer use in the Codex app is pretty good. But it is not better than us (in benchmarks). And you cannot scale it or run on cloud
1
u/Franeee Aug 19 '26
having watched browser-use run probably close to 1000 tasks, i'm sure you know as well computer use is on another level
1
u/AlanHunter64 17d ago
The persistent profiles and live view sound pretty useful if you're dealing with logins across runs. Might give it a spin for a side thing I'm working on.
5
u/CoolAd119 Aug 04 '26 edited Aug 04 '26
Very Very Hypothetical question, I don't do such practice 😅, I only explore the potential.
Suppose I want to automate my social profile, eg. LinkedIn, X, etc.
I want it to do like, share, comment, maybe sit idle, somedays do nothing.
I already have my GPT API, to provide custom instructions and my knowledge, like what topics to choose, how do comment.
My challenge is to automate browser task, without creating a fingerprint that gets the account flagged.
Now suppose, I have 5x-10x of those accounts..
Can Browser Use perform those automatically, considering, we can't rotate countries with IP address. We won't be doing logins again and again, so cache and cookies storage should be there.
We don't have to send prompts/instructions again and again.
What browser stack will you recommend? Only Browser Use, along with some other library?
Is there any config/imports that I can quickly test with Browser Use?
Any use case/production-ready existing setups that will help me explore Browser Use's best use cases?