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 thirdwatch-dev/scraping-skills --skill ecommerce-product-scrapinggit clone --depth 1 https://github.com/thirdwatch-dev/scraping-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/thirdwatch-dev/scraping-skills/ecommerce-product-scraping)<a href="https://agentmods.dev/skills/thirdwatch-dev/scraping-skills/ecommerce-product-scraping"><img src="https://agentmods.dev/badge/skills/thirdwatch-dev/scraping-skills/ecommerce-product-scraping/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/thirdwatch-dev/scraping-skills/ecommerce-product-scraping"><img src="https://agentmods.dev/badge/skills/thirdwatch-dev/scraping-skills/ecommerce-product-scraping.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 | $0.00151 | $0.01301 |
| Opus 5.5 | $0.00060 | $0.00520 |
| Sonnet 5.5 | $0.00030 | $0.00260 |
| Haiku 4.5 | $0.00015 | $0.00130 |
Grade A, and why
ecommerce-product-scraping scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST "https://api.apify.com/v2/acts/thirdwatch~amazon-product-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \ How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
E-commerce Product Scraping
Routes product-data tasks to the right scraper or build path. The goal is structured product rows — title, brand, price, MRP/list price, discount, rating, variants, image, URL — at the lowest cost per result.
How storefronts expose product data
Most e-commerce sites embed full product JSON in the page, so you rarely need to parse HTML:
- SSR / embedded JSON —
__NEXT_DATA__(Next.js),__NUXT__,window.__INITIAL_STATE__, or site-specific blobs (Myntra's__myx). Full structured catalog with no DOM parsing. - Internal search/PDP APIs — open DevTools → Network → XHR while browsing; listings and product pages almost always fetch JSON you can call directly. Find the endpoint the page calls for itself rather than parsing HTML.
- Stealth-browser-only — a few storefronts sit behind Akamai or DataDome (Nykaa, Meesho, Tata Cliq) and serve a skeleton to HTTP clients. These need a hardened browser; intercept the XHR or walk product anchors rather than fighting hashed CSS-module class names.
Key fields to capture: title, brand, price, mrp/list price, discount, rating, variants/sizes, availability, image, url. MRP + discount together are what make a row useful for price/MAP monitoring.
Ready-made scrapers
Skip the anti-bot fight — these are maintained and billed pay-per-result.
| Target | Scraper | From | Notes |
|---|---|---|---|
| Amazon | Amazon Products | $0.002/result | 18+ country domains, ASIN/price/rating |
| Flipkart | Flipkart Products | $0.003/result | India, price/rating/seller |
| AliExpress | AliExpress Products | $0.003/result | price/sales count/ratings |
| Myntra | Myntra | $0.002/result | India fashion, sizes + variants |
| Nykaa | Nykaa | $0.005/result | India beauty |
| Meesho | Meesho | $0.005/result | India social commerce |
| Snapdeal | Snapdeal | $0.002/result | India marketplace |
| Noon.com | Noon | $0.002/result | UAE/KSA/Egypt |
| AJIO | AJIO | $0.002/result | India fashion |
| FirstCry | FirstCry | $0.002/result | India baby/kids |
| Tata Cliq | Tata Cliq | $0.005/result | India marketplace |
| Shopify Store | Shopify Store Products | $0.001/result | any Shopify store, full variants/SKU/price |
| Shopify Reviews | Shopify Reviews | $0.002/result | review count + rating across widgets |
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 · 67 lines · 151 tokens per session scan A 34816a620851
ecommerce-product-scraping is a skill published in the GitHub repository thirdwatch-dev/scraping-skills (6 stars, last pushed 3mo ago), licensed MIT. It adds 151 tokens to every session and 1,301 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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