BrowserAct is a browser automation system that lets AI agents use real, separate browser sessions to extract data and complete account-based web tasks. It is for agents and teams that need parallel workflows, reused login states, human handoffs, or access to sites that resist ordinary automated requests.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add browser-act/skills --skill amazon-best-selling-products-finder-api-skillgit clone --depth 1 https://github.com/browser-act/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/browser-act/skills/amazon-best-selling-products-finder-api-skill)<a href="https://agentmods.dev/skills/browser-act/skills/amazon-best-selling-products-finder-api-skill"><img src="https://agentmods.dev/badge/skills/browser-act/skills/amazon-best-selling-products-finder-api-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/browser-act/skills/amazon-best-selling-products-finder-api-skill"><img src="https://agentmods.dev/badge/skills/browser-act/skills/amazon-best-selling-products-finder-api-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00123 | $0.01317 |
| Opus 5 | $0.00062 | $0.00659 |
| Sonnet 5 | $0.00025 | $0.00263 |
| Haiku 4.5 | $0.00012 | $0.00132 |
Grade A, and why
amazon-best-selling-products-finder-api-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Best Selling Products Finder API Skill
📖 Skill Introduction
This skill provides users with a one-stop product data extraction service using the BrowserAct Amazon Best Selling Products Finder API template. It can directly extract structured best-selling product data from Amazon. By inputting search keywords, data limit, and marketplace URL, you can easily get clean and usable product data including titles, prices, ratings, reviews, sales volume, and promotional details.
✨ Features
- No hallucinations, ensuring stable and precise data extraction: Preset workflows avoid AI generative hallucinations.
- No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
- No IP access restrictions and geofencing: No need to handle regional IP restrictions.
- More agile execution speed: Compared to pure AI-driven browser automation solutions, task execution is faster.
- Extremely high cost-effectiveness: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of Tokens.
🔑 API Key Guide Flow
Before running, first check the BROWSERACT_API_KEY environment variable. If it is not set, do not take other actions; require and wait for the user to collaborate to provide it.
The Agent must inform the user at this time:
"Since you have not configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key."
🛠️ Input Parameters
When calling the script, the Agent should flexibly configure the following parameters based on user needs:
-
KeyWords
- Type:
string - Description: Search keywords used to find Amazon products.
- Example:
iphone 17 pro max,gaming mouse,running shoes
- Type:
-
Date_limit
- Type:
number - Description: Maximum number of products to extract.
- Default:
10 - Recommendation: Set to a lower number for quick checks, or higher for comprehensive analysis.
- Type:
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 91 lines · 123 tokens per session scan A 035288b796f2
amazon-best-selling-products-finder-api-skill is a skill published in the GitHub repository browser-act/skills (5,901 stars, last pushed 18d ago), licensed MIT. It adds 123 tokens to every session and 1,317 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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