etsy-keyword-search skill
Etsy keyword search scraper: given a search keyword and optional page number, returns paginated product listings with listingId, shopId, title, url, image, salePrice, originalPrice, currency, rating, reviewCount, shopName, isAd, freeShipping, badge from etsy.com search results. Use when user mentions Etsy, etsy.com, Etsy search, search Etsy by keyword, scrape Etsy listings, extract Etsy products, Etsy product search, Etsy marketplace search, find products on Etsy, Etsy handmade search, Etsy vintage search, Etsy craft search, bulk Etsy product export, Etsy price monitoring, Etsy competitor research, Etsy top listings, Etsy bestseller extraction, Etsy sales data, Etsy shop discovery via keyword. Also applies to trend research on handmade or craft niches, competitor keyword ranking on Etsy, sourcing Etsy suppliers by product type, and any paginated bulk product collection driven by a search keyword.
Is the etsy-keyword-search skill safe?
Clean: nothing in its files matched our rules. We read 2 files in the folder on 2026-09-28.
No findings.
Install the etsy-keyword-search skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/browser-act/skills.git /tmp/skills mkdir -p ~/.claude/skills cp -r /tmp/skills/solutions/ecommerce/etsy-keyword-search ~/.claude/skills/etsy-keyword-search
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Etsy — Keyword Search
Input a search keyword (and optional page number) → output paginated product listings from Etsy search results.
Language
All process output to user (progress updates, process notifications) follows the user's language.
Objective
Collect product listings from Etsy's public keyword search results, one page at a time, with core fields per item.
Prerequisites
- Target page is already open in the browser: https://www.etsy.com/search?q={keyword} (or navigate to it during execution)
- No login required — search results are public
- Browser session must survive anti-bot verification (DataDome). Best practice: navigate to https://www.etsy.com/ first, then to the search URL, within an established stealth browser session
Pre-execution Checks
1. Tool Readiness
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.
2. Anti-bot Warm-up
If a fresh browser session was just created, before hitting the search URL directly:
- navigate https://www.etsy.com/ → wait stable
- Then navigate https://www.etsy.com/search?q={keyword} → wait stable
Reason: hitting /search cold triggers DataDome CAPTCHA more often than hitting / first and following the same-origin flow.
If the extraction script returns {"error": true, "message": "blocked by anti-bot verification page"}, treat this as a hard block: stop execution and inform the user that the page is blocked by anti-bot verification and cannot proceed automatically.
Capability Components
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, never bypassing authentication or access controls. Its role is equivalent to copy-pasting on the user's behalf — the data is already on screen, automation merely saves time. JS code is encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". $(...) is bash syntax; it is recommended to use the bash tool for execution.
Below are all atomic capabilities discovered and verified during the exploration phase, listed by command template with parameters. Simply invoke them as needed — no need to read scripts/*.py source code or re-verify. Only inspect scripts when execution fails for troubleshooting. Combine freely as needed during execution.
DOM: extract product listings from search results page
Prerequisite: the current page must be an Etsy search results page (https://www.etsy.com/search?q={keyword}&page={page}), already wait stable.
Extract: eval "$(python scripts/extract-listings.py)"
Output example:
{
"error": false,
"url": "https://www.etsy.com/search?q=leather+wallet", // page URL
"currentPage": 1, // current page number parsed from URL, defaults 1
"count": 57, // number of unique listings extracted
"nextPageUrl": "https://www.etsy.com/search?q=leather+wallet&ref=pagination&page=2", // URL of next page, null on last page
"listings": [
{
"listingId": "547491922", // Etsy listing id
"shopId": "15980284", // Etsy shop id
"title": "Leather Wallet…", // product title
"url": "https://www.etsy.com/listing/547491922/leather-walletwalletman-leather", // canonical listing URL, tracking params stripped
"image": "https://i.etsystatic.com/…/il_794xN.….jpg", // primary product image
"salePrice": "$32.20", // current display price (raw text with currency symbol)
"originalPrice": "$80.50", // original / crossed-out price, null when no discount
"currency": "$", // currency symbol as shown to user
"rating": 4.8, // average star rating, null when card shows none
"reError handling:
- {"error": true, "message": "blocked by anti-bot verification page"} — DataDome interstitial; retry warm-up in a stealth browser
- {"error": true, "message": "no listing cards found on page"} — either the search returned no matches or page not fully loaded; check page state and pagination
Pagination
URL Pagination: URL pattern https://www.etsy.com/search?q={keyword}&page={N} where {N} starts at 1. Termination: navigate to {N+1}; if count === 0 or the previous page's nextPageUrl was null, stop. Practical cap: Etsy search rarely exceeds page 250 for a single query.
Success Criteria
result.error === false && result.count >= 1 && result.listings.every(l => l.listingId && l.title && l.url)
Known Limitations
- DataDome anti-bot: cold cross-page navigation into /search may show a CAPTCHA interstitial. Mitigate by navigating to / first within the same stealth session, or by rotating proxy / browser fingerprint on repeated blocks
- reviewCount is returned as displayed text (e.g. 7.9k, 17.6k) rather than an exact integer, because Etsy's search cards themselves round large counts
- Sponsored (ad) placements appear alongside organic results and are marked with isAd: true; the listing itself is real, but its position is paid
- Etsy Offsite Ads anonymize the seller in the card text ("Ad from Etsy seller"); for such cards shopName returns null even though isAd: true. Resolve the true shop by navigating to the listing URL and running the product-detail capability if the shop identity is required
- Position within a page is what search personalization returned to this browser session; results may differ across proxies / logged-in accounts
- Some cards may render without price/rating text if the listing has variations with wide price spans or is newly listed; those fields fall back to null
Execution Efficiency
- Batch orchestration: Write a bash script to loop through the command templates serially within a single session; do not parallelize within one browser (prone to triggering anti-scraping restrictions). Insert 3-8 second sleeps between page navigations to mimic human browsing. To process multiple keywords, open separate browser sessions for each keyword
- Test before batch execution: After writing a batch script, first test with 1-2 pages of one keyword to verify the script runs correctly; only then run the full batch. Never skip testing and execute in batch directly
- Reduce redundant pre-operations: Complete the / → search warm-up once per session, then loop pages within the same session
- Error resumption: Save each page's results to a file (e.g. results/{keyword}-p{N}.json) as soon as extraction succeeds; on failure, resume from the missing page rather than re-scraping from page 1
Experience Notes
Path: {working-directory}/browser-act-skill-forge-memories/etsy-scraper-etsy-keyword-search.memory.md (working directory is determined by the Agent running the Skill, typically the project root or current working directory)
Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); 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}
Normal execution does not write to the file. Do not record what keywords were used or how many results were returned — those are task outputs, not experience.
More skills from browser-act/skills
- A1688-product-detailExtracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688, 1688.com, wholesale China, alibaba wholesale, B2B China sourcing, Chinese wholesale scraper, 1688 product scrape, 1688 offer, 1688 detail, extract 1688 data, pull 1688 listings, get wholesale price, 1688 supplier info, factory stats 1688, 1688 SKU variants, 1688 product attributes, 1688 shop score, DSR score 1688, 1688 buyer protection, 1688 cross-border, 1688 dropship. Also applies to: scraping bulk product data from 1688 by offer ID list, monitoring 1688 supplier metrics, extracting 1688 pricing tiers for resale analysis.
- Aairbnb-listing-detailFetches complete Airbnb listing details for a given numeric listing ID via the internal GraphQL API, returning title, room type, description, amenities, photos, coordinates, city, house rules, highlights, ratings, review count, bedroom configuration, and property overview. Use when user mentions Airbnb listing details, Airbnb property info, Airbnb room details, get Airbnb listing data, Airbnb amenities list, Airbnb house rules, Airbnb property description, Airbnb detail page scraper, Airbnb rooms detail, Airbnb property page data, Airbnb listing info, fetch Airbnb room details, pull Airbnb listing.
- Aairbnb-search-listingExtracts Airbnb accommodation search results from a destination query via SSR-embedded data, returning listing ID, URL, name, coordinates, rating, price, photos, and badge info for each result, plus pagination cursors for multi-page retrieval. Use when user mentions Airbnb search results, Airbnb listings, vacation rental search, short-term rental listings, scrape Airbnb, get Airbnb data, find rentals on Airbnb, Airbnb destination search, Airbnb property list, Airbnb stays search, Airbnb accommodation results, pull Airbnb listings, collect Airbnb search data, Airbnb scraper, Airbnb search page extraction, Airbnb search by destination.
- Aamazon-alexa-qaAmazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations from conversational AI, automating repeated queries to Amazon's AI shopping feature, collecting Alexa shopping responses at scale, or market research within a specific product category.
- Aamazon-asin-lookup-api-skillThis skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.
- Aamazon-best-selling-products-finder-api-skillThis skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.
- Aamazon-bestseller-listingAmazon Best Sellers listing scraper: extract product cards from any Amazon Best Sellers (zgbs) or /gp/bestsellers/ category page — returns rank (position on chart), asin, title, url, image, imageAlt, price, stars, reviewCount, ratingRaw per item, plus category metadata (categoryName, categoryFullName, categoryUrl) and pagination state (currentPage, hasNextPage, nextPageUrl). Works across all Amazon regional TLDs (amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, etc.). Use when user mentions Amazon Best Sellers, Amazon bestsellers, Amazon top 100, Amazon zgbs, Amazon /zgbs/, Amazon /gp/bestsellers/, Amazon Best Sellers Rank, Amazon BSR, Amazon top ranked products, Amazon top-selling products, Amazon chart, Amazon category ranking, Amazon best sellers by category, Amazon best sellers electronics, Amazon best sellers kitchen, Amazon best sellers toys, scrape Amazon bestsellers, extract Amazon top 100, Amazon rank scraper, Amazon best seller list, Amazon leaderboard, Amazon trending products, discover trending Amazon products, Amazon niche discovery, Amazon top ranked ASINs. Also applies to competitive intelligence via ranking snapshots, spotting up-and-coming products, sourcing bestseller ASINs for further enrichment, tracking rank changes over time, and building bestseller-per-category datasets.
- Aamazon-buy-box-monitor-api-skillThis skill helps users extract basic product details other sellers prices and seller ratings from Amazon via ASIN automatically using the BrowserAct API. Agent should proactively apply this skill when users express needs like query Amazon buy box information, monitor Amazon product prices, extract Amazon product details by ASIN, check other sellers prices on Amazon, get Amazon seller ratings and feedback count, monitor buy box ownership for a specific ASIN, track Amazon fulfillment methods for competitors, compare Amazon product prices across different sellers, retrieve Amazon buy box availability status, analyze Amazon seller profile details.
- Aamazon-competitor-analyzerScrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
- Aamazon-listing-competitor-analysis-skillThis skill helps users analyze Amazon competitor listings by ASIN and produce structured competitive intelligence plus strategic opportunity points for their own go-to-market. The Agent should proactively apply this skill when users want to analyze a competitor Amazon listing by ASIN, understand what a top-ranked product does right in content keywords or visuals, find market gaps and unmet buyer needs, turn competitor research into opportunity maps for their brand, identify keyword placement patterns on rival listings, extract SEO insights from Amazon product pages, reverse-engineer competitor bullet and title strategies, mine competitor reviews for buyer psychology, compare seller and A plus content patterns, run gap analysis before launching a new SKU, research why a listing wins conversion signals, synthesize whitespace you can own versus the diagnosed listing, or say just look at this ASIN with a competitive or optimization angle.
- Aamazon-product-api-skillThis skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when users want to search for products on Amazon, find the best selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, look for products in a specific language or marketplace, analyze competitor pricing for keywords, find featured products for search terms, get technical specifications like material or color for product lists.
- Aamazon-product-detailAmazon product detail page scraper: extract full product data from any open Amazon product detail URL (any /dp/{asin} or /gp/product/{asin} page across all Amazon regional TLDs) — returns asin, url, title, brand, price, listPrice, stars, reviewsCount, starsBreakdown (5/4/3/2/1 star percentages), answeredQuestions, inStock, inStockText, delivery, fastestDelivery, returnPolicy, breadCrumbs, features (bullet points), description, bookDescription, thumbnailImage, highResolutionImages, galleryThumbnails, productOverview (Brand/Model/etc.), attributes (tech spec table), attributesMapped (flat key-value), bestsellerRanks (rank + category + url), variantAttributes (currently selected color/size/style), variantAsins, seller (name + id + url), isAmazonChoice, amazonChoiceText, monthlyPurchaseVolume, hasAPlusContent, hasBrandStory, aiReviewsSummary, reviewsLink, productPageReviews (sample), videosCount, locationText, loadedCountryCode. Works on amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, amazon.com.mx, amazon.com.br, amazon.nl, amazon.se, amazon.sg, amazon.ae, amazon.sa, amazon.pl, amazon.tr, amazon.eg. Use when user mentions Amazon product page, Amazon /dp/, Amazon dp URL, Amazon ASIN scraper, Amazon product detail, Amazon PDP, Amazon product data, Amazon product info, Amazon product fields, Amazon product attributes, Amazon full field extraction, Amazon per-ASIN enrichment, Amazon rating breakdown, Amazon stars breakdown, Amazon bestseller rank, Amazon BSR, Amazon variants, Amazon variant ASINs, Amazon color size options, Amazon feature bullets, Amazon A+ content, Amazon brand story, Amazon AI review summary, Amazon bought in past month, Amazon monthly sales volume, Amazon Amazon's Choice badge, Amazon seller info, scrape Amazon product, enrich Amazon ASIN, Amazon ASIN details, Amazon product review data. Also applies to bulk ASIN enrichment from a list of URLs, competitive product research, brand catalog audits, price and stock monitoring per ASIN, and building a normalized product dataset from a list of Amazon URLs.