Apify Ecommerce
apify/awesome-skills
Scrape e-commerce data for pricing, reviews, bestsellers, and seller discovery across 30+ platforms including Amazon, Walmart, eBay, Shopify, WooCommerce, and more.
Extract customer reviews from any e-commerce product page or reviews page.
$ npx skills add browser-act/skills --skill ecommerce-reviews -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install browser-act/skills ecommerce-reviews --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/solutions/ecommerce/ecommerce-reviews .claude/skills/ecommerce-reviews && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ecommerce-reviews" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/ecommerce-reviews into .claude/skills/ecommerce-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecommerce-reviews", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/browser-act/skills/tree/main/solutions/ecommerce/ecommerce-reviewsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add browser-act/skills --skill ecommerce-reviews -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install browser-act/skills ecommerce-reviews --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/solutions/ecommerce/ecommerce-reviews .agents/skills/ecommerce-reviews && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ecommerce-reviews" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/ecommerce-reviews into .agents/skills/ecommerce-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecommerce-reviews", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add browser-act/skills --skill ecommerce-reviews -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install browser-act/skills ecommerce-reviews --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/solutions/ecommerce/ecommerce-reviews .cursor/skills/ecommerce-reviews && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ecommerce-reviews" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/ecommerce-reviews into .cursor/skills/ecommerce-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecommerce-reviews", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/browser-act/skills.git --path solutions/ecommerce/ecommerce-reviews--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add browser-act/skills --skill ecommerce-reviews -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install browser-act/skills ecommerce-reviews --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/solutions/ecommerce/ecommerce-reviews .gemini/skills/ecommerce-reviews && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ecommerce-reviews" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/ecommerce-reviews into .gemini/skills/ecommerce-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecommerce-reviews", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install browser-act/skills ecommerce-reviewsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add browser-act/skills --skill ecommerce-reviews -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/solutions/ecommerce/ecommerce-reviews .github/skills/ecommerce-reviews && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ecommerce-reviews" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/ecommerce-reviews into .github/skills/ecommerce-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecommerce-reviews", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add browser-act/skills --skill ecommerce-reviews -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install browser-act/skills ecommerce-reviews --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/solutions/ecommerce/ecommerce-reviews .opencode/skills/ecommerce-reviews && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ecommerce-reviews" agent skill from https://github.com/browser-act/skills/tree/main/solutions/ecommerce/ecommerce-reviews into .opencode/skills/ecommerce-reviews/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ecommerce-reviews", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ecommerce-reviewsExtract customer reviews from any e-commerce product page or reviews page.
Ecommerce Reviews is an agent skill from browser-act/skills. Extract customer reviews from any e-commerce product page or reviews page. Returns reviewer name, star rating, date, review title, review body, verified purchase status, and helpful votes per review. Works on Amazon, WooCommerce, Shopify, and any site with standard review markup. Supports pagination for multi-page review sections. Use when: product reviews, customer feedback, review scraping, get reviews, sentiment analysis data, review extraction, customer ratings, extract customer opinions, product feedback…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/extract-reviews.py`).
It sits in Sales & Support, covering E-commerce operations, Customer feedback analysis and Web scraping. It works with WooCommerce and Shopify. The repository describes itself as: 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… The licence is MIT.
Read from SKILL.md and the folder at commit 11c057b. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
amazon.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ecommerce Reviews loads about 1.4k tokens when it runs. Until then it costs about 164 tokens; SKILL.md has 520 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from browser-act/skills at commit 11c057b, republished under its MIT licence (© browser-act). 520 words, ~1,371 tokens.
.claude/skills/ecommerce-reviews/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Product URL → paginated customer reviews (reviewer, rating, date, title, body, verified, helpful votes)
All process output to user (progress updates, process notifications) follows the user's language.
Extract customer reviews from any publicly accessible e-commerce product or reviews page using a multi-strategy approach (JSON-LD Review → Amazon DOM → WooCommerce DOM → generic microdata → generic CSS patterns).
If browser-act has been confirmed available in the current session → skip this step.
Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.
This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page. JS code is encapsulated in Python files under the
scripts/directory, invoked viaeval "$(python scripts/xxx.py {params})". Use the bash tool for execution.
Navigate to the product/reviews page first, then extract:
eval "$(python scripts/extract-reviews.py --max-reviews 20)"Parameters:
--max-reviews: max reviews to return per page, default 20Output example:
{
"count": 20,
"reviews": [
{
"reviewer": "John D.",
"rating": 5.0,
"date": "Reviewed in the United States on May 15, 2026",
"title": "Great product, exactly as described",
"body": "I've been using this for two weeks and it works perfectly...",
"verified": true,
"helpful_votes": 42
}
]
}Step 1 — Navigate to reviews page:
| Platform | Reviews URL pattern |
|---|---|
| Amazon | https://www.amazon.com/product-reviews/{ASIN}?sortBy=recent (most recent) or sortBy=helpful |
| Amazon (from product page) | Scroll to reviews section or click "See all reviews" link, wait stable |
| WooCommerce | Product page URL with #reviews anchor; reviews are inline on the page |
| Shopify | Reviews are typically inline on the product page |
| Generic | Navigate to product URL; reviews section is usually below product info |
Step 2 — Extract reviews:
eval "$(python scripts/extract-reviews.py --max-reviews 20)"Step 3 — Paginate (Amazon): Amazon review pages support URL pagination:
https://www.amazon.com/product-reviews/{ASIN}?sortBy=recent&pageNumber={page}https://www.amazon.com/product-reviews/{ASIN}?sortBy=helpful&pageNumber={page}For each page: navigate {reviews_url_with_page} → wait stable → re-run extract-reviews.py
Termination: when count returns 0, or no new reviews appear compared to prior page.
URL Pagination (Amazon): Increment pageNumber parameter in the reviews URL. Start from 1.
DOM Pagination (WooCommerce/generic): Look for a "Next" pagination link on the reviews section. Use eval "$(python ../ecommerce-listing/scripts/extract-listing-next-page.py)" to detect it, then navigate.
Termination: has_next is false, or count is 0.
result.count >= 1 AND reviews[0].body != null
https://www.amazon.com first on fresh sessions to avoid bot detectionPath: {working-directory}/browser-act-skill-forge-memories/ecommerce-scraper-ecommerce-reviews.memory.md
Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions; adjust strategy order accordingly.
After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line:
{YYYY-MM-DD}: {what happened} → {conclusion}
© browser-act, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (scripts) in solutions/ecommerce/ecommerce-reviews of browser-act/skills.
Open the folder on GitHubat commit 11c057b
Ecommerce Reviews next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ecommerce Reviews this skillbrowser-act/skills | 6.1k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Apify Ecommerceapify/awesome-skills | 265 | — | ~4.6k | Automated safety check: Notes | Apache-2.0 | |
| Shopifyericrisco/rsc-harness | 174 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Extractactionbook/actionbook | 1.6k | 2 repos | ~3.4k | Automated safety check: Pass | Apache-2.0 | |
| Agentkeychainbase-labs/Agentkey | 656 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Checkout Purchasekeypo-us/keypo-cli | 182 | — | ~880 | Automated safety check: Notes | None |
apify/awesome-skills
Scrape e-commerce data for pricing, reviews, bestsellers, and seller discovery across 30+ platforms including Amazon, Walmart, eBay, Shopify, WooCommerce, and more.
ericrisco/rsc-harness
A skill your agent uses when building or customizing a Shopify store across its three code surfaces — themes (Liquid, Online Store 2.0 sections, blocks and JSON templates), apps (Remix with the…
actionbook/actionbook
Extract structured data from websites and produce an executable Playwright script plus extracted data.
chainbase-labs/Agentkey
PROACTIVELY use whenever the user needs data outside your training set or requires a live network call — web search, URL scraping, news, social media (any platform), market prices…
keypo-us/keypo-cli
A skill your agent uses when the user asks to buy a product from the Shopify store.
beshuaxian/higgsfield-seedance2-jineng
Generate e-commerce product advertisement video prompts for Seedance 2.0 on Higgsfield.
browser-act/skills
Fetches structured Amazon product details such as title, price, ratings and availability for a given ASIN through BrowserAct's lookup API template.
browser-act/skills
Extracts structured Amazon product data for a keyword and marketplace through the BrowserAct API, including titles, prices, ratings, reviews, sales volume and promotions.
browser-act/skills
Pulls Amazon product details, competing seller prices and seller ratings for a given ASIN through the BrowserAct API, without browser automation.
browser-act/skills
Analyzes a competitor's Amazon listing by ASIN with BrowserAct data extraction, then reports what it does well, where the market has gaps and opportunity points for your own listing.
browser-act/skills
Pulls structured Amazon search results (titles, ASINs, prices, ratings, specifications) for a keyword and brand through BrowserAct's Amazon Product API template.
browser-act/skills
Collects structured product data from Amazon search results for a keyword and optional brand, using a BrowserAct script, for market and competitor research.
Works with
Categories
Extract customer reviews from any e-commerce product page or reviews page. Ecommerce Reviews is an agent skill from browser-act/skills. Extract customer reviews from any e-commerce product page or reviews page.
Ecommerce Reviews fits situations like: : product reviews; customer feedback; review scraping; sentiment analysis data.
Run `npx skills add browser-act/skills --skill ecommerce-reviews -a claude-code`. Or copy the skill folder (solutions/ecommerce/ecommerce-reviews in browser-act/skills) into .claude/skills/ecommerce-reviews in your project. Claude Code loads it when a task matches its description.
Run `npx skills add browser-act/skills --skill ecommerce-reviews -a codex`. Or copy the skill folder (solutions/ecommerce/ecommerce-reviews in browser-act/skills) into .agents/skills/ecommerce-reviews in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add browser-act/skills --skill ecommerce-reviews -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ecommerce-reviews, .gemini/skills/ecommerce-reviews, .github/skills/ecommerce-reviews and .opencode/skills/ecommerce-reviews in your project.
Going by SKILL.md and its folder, Ecommerce Reviews needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: amazon.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Ecommerce Reviews is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ecommerce Reviews: Apify Ecommerce (apify/awesome-skills, 265 stars), Shopify (ericrisco/rsc-harness, 174 stars), Extract (actionbook/actionbook, 1.6k stars) and Agentkey (chainbase-labs/Agentkey, 656 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
browser-act (a GitHub organization) maintains it in browser-act/skills, which has 6,122 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on August 24, 2026.
Source: browser-act/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.