Firecrawl Web Agent is an open-source foundation for building AI agents that research the web with structured results. Developers can use its templates, agent core, web tools, and SDK to create applications that plan research tasks, interact with websites, and combine observations into answers. The catalogue entries are skills for this web-research agent.
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 firecrawl/web-agent --skill e-commercegit clone --depth 1 https://github.com/firecrawl/web-agentWrote 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/firecrawl/web-agent/e-commerce)<a href="https://agentmods.dev/skills/firecrawl/web-agent/e-commerce"><img src="https://agentmods.dev/badge/skills/firecrawl/web-agent/e-commerce/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/firecrawl/web-agent/e-commerce"><img src="https://agentmods.dev/badge/skills/firecrawl/web-agent/e-commerce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00029 | $0.00315 |
| Opus 5.5 | $0.00012 | $0.00126 |
| Sonnet 5.5 | $0.00006 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
e-commerce 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 1mo 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.
What it actually says
E-commerce Extraction
General Patterns
- Check for sitemap.xml first -- many stores list all product URLs
- Look for /products.json, /api/products, or similar API endpoints before scraping HTML
- Product listing pages usually paginate: look for ?page=N, ?offset=N, or "Load more" buttons
- Always check the total count shown on the page vs what you've extracted
Product Data Checklist
- Name, brand, SKU/ID
- Price (current, original/compare-at, currency)
- Variants (size, color, etc.) with per-variant pricing and availability
- Images (primary + gallery)
- Description (short + long)
- Category/breadcrumb path
- Availability/stock status
- Ratings and review count
Pagination
- Check for: next/prev links, page numbers, "showing X of Y" text
- For infinite scroll: use interact to scroll and load more
- Keep count: if page says "200 products" and you have 24, keep going
JS-Heavy Sites
- Use interact for sites that require JavaScript rendering
- Look for XHR/API calls in the page that return JSON -- often easier than parsing HTML
- Single-page apps often have internal APIs at predictable paths
Site-specific playbooks are in the sites/ directory
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.
- 1mo ago First seen · 36 lines · 29 tokens per session scan A 316d1c0679b8
e-commerce is a skill published in the GitHub repository firecrawl/web-agent (1,254 stars, last pushed 5d ago), licensed MIT. It adds 29 tokens to every session and 315 once invoked, about $0.0001 per session on Opus 5.5. 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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amazon-bestseller-listing
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amazon-search-listing
Amazon search and category listing scraper: extract product listings from any Amazon search results page, keyword search URL, or category browse page and return per-item cards (asin, title, url, image, price, listPrice, stars, reviewCount, badges, isAmazonChoice, isBestSeller, isSponsored, delivery, boughtInPast…
etsy-product-detail
Etsy product detail scraper: given an Etsy listing URL, returns full product detail including listingId, title, priceCurrent, priceOriginal, currency, images (all), description, shopName, shopUrl, rating, reviewCount, favorites, inCartCount, variations (with per-option price ranges), highlights, listedDate…