BrowserAct

Collect sold listings from eight eBay marketplaces and organize displayed prices, shipping costs, conditions, sale dates, and seller details. Filter results to research resale values and compare prices across markets, with accepted offers flagged separately.

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• Research resale prices for used products
• Compare sold prices across eBay marketplaces
• Collect sales records for collectibles

Collect product names, prices, images, ratings, and links from e-commerce listings or keyword searches. Apply filters such as price range and brand, and gather structured product records across multiple pages.

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• Compare products within a price range
• Collect products from a category
• Find products by brand and rating

Collect product listings from Etsy keyword search results, one page at a time. Gather titles, prices, ratings, shop names, and product links, with advertising and shipping indicators, to support competitor research and product comparisons.

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• Researching competing products on Etsy
• Comparing prices for handmade products
• Finding shops by product keyword

Extract seller details from Amazon, eBay and other marketplace profile pages. Collect names, ratings, review counts, positive feedback, membership dates and return policies to support seller research, while preserving each platform's rating format.

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• Comparing seller ratings and review counts
• Checking a seller's return policy and membership date
• Finding seller information from a product listing

Explore how a website provides data or handles actions, then turn verified methods into a reusable Skill package with SKILL.md and Python scripts. The workflow includes testing, installation, and execution when requested.

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• Turn recurring website tasks into reusable Skills
• Investigate how a site loads its data
• Build a verified method for bulk data collection

Collect customer reviews from e-commerce product and review pages, including review text, ratings, dates, verified purchase status, and helpful votes. Gather multiple pages of feedback to prepare data for customer opinion research and sentiment analysis.

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• Gathering customer feedback for product research
• Preparing review text for sentiment analysis
• Collecting recent or helpful Amazon reviews

Extract structured product records from Amazon URLs across regional sites, including price, stock, specifications, rating breakdowns, sellers, and visible variants. Use the records for competitor research, catalog audits, or tracking product prices and availability.

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• Collect product specifications for competitor research
• Prepare records for a brand catalog audit
• Check prices and stock for selected products

Retrieve Airbnb property details from a numeric listing ID, including descriptions, amenities, photos, location, house rules, ratings, and bedroom arrangements. Gather structured information for reviewing accommodation options, with dates required for nightly pricing.

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• Checking amenities and house rules before a stay
• Organizing property details for accommodation comparisons
• Reviewing bedroom arrangements and property photos

Extract details from an Etsy listing URL, including displayed prices, product options and their price ranges, images, descriptions, shop information, ratings, and favorites. Use these records for competitor research or tracking individual listings.

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• Compare competitor prices and product options
• Collect listing descriptions and related tags
• Gather product and review image URLs

Submit shopping questions to Amazon's Alexa/Rufus assistant and collect answers as JSON, a structured data format. Use product search results as context for category research, or run a series of general shopping questions.

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• Collecting product recommendations for a specific category
• Gathering answers to a batch of shopping questions
• Researching deals and shopping trends

Collect product listings from a Taobao or Tmall shop using its shop ID. Results include product IDs, titles, image URLs, and product links, providing a catalog for store research or bulk product ID collection.

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• Collecting a shop's product catalog
• Researching products sold by competing stores
• Gathering product IDs from a specific seller

Extract details from an open eBay listing into JSON, a structured data format. Collect prices, availability, sales counts, seller feedback, specifications, and image links for product comparisons and catalog checks across regional eBay sites.

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• Comparing prices and availability across eBay listings
• Checking seller feedback and item locations
• Collecting product identifiers and specifications

Extract listing details from a Goofish second-hand item URL or ID, including price, description, images, seller information, attributes, and interest counts. Use the collected data to review individual listings or enrich an existing item list.

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• Reviewing a second-hand listing before purchase
• Collecting item descriptions and images for comparison
• Checking seller labels and displayed ratings

Collect details from Taobao and Tmall product pages using a product ID. Gather titles, displayed prices, shop information, images, variant options, and attributes to build product records or compare items for research.

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• Building product records from product IDs
• Comparing product attributes and shop information
• Checking available colors and sizes

Collect used-item listings from Goofish searches, including titles, prices, images, seller locations, and interest counts. Filter by price or listing date and sort results to build lists for researching China's second-hand market.

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• Research used smartphone prices in China
• Collect listings within a chosen price range
• Check newly listed items

Research Amazon best-selling products by keyword and regional marketplace. Collect structured product details, including prices, ratings, review counts, past-month sales, availability, and promotions, to compare competitors and investigate product markets.

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• Research best-selling products for a keyword
• Compare competitor prices, promotions, and sales
• Compare prices and availability across regional marketplaces

Collect Google Maps reviews through BrowserAct using search keywords, language, and country settings. Retrieve reviewer names, ratings, review text, dates, and likes as structured data for reputation research, competitor comparisons, and customer feedback analysis.

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• Collect reviews for nearby shops and facilities
• Track feedback for a brand location
• Gather competitor reviews for comparison

Collect product listings from Amazon search or category pages, including prices, ratings, review counts, advertising labels, and ASINs, Amazon’s product identifiers. Follow multiple result pages to compare competing listings or build product lists.

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• Comparing prices and ratings of competing products
• Checking product positions for a keyword
• Building ASIN lists from category pages

Collect product data from Walmart keyword search pages, including titles, prices, ratings, availability, seller details, and product links. Choose a sort order and gather multiple pages to compare prices or build product lists for research.

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• Comparing prices for products on Walmart
• Collecting product URLs in bulk
• Researching search positions for a keyword

Collect customer reviews from Walmart using a product item ID. Retrieve ratings, review text, dates, verified purchase status, and selected product variants in structured form to prepare customer feedback research and product comparisons.

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• Collecting reviews across multiple pages
• Gathering customer feedback on competing products
• Preparing review comparisons by color or size

Collect Amazon product reviews by supplying an ASIN, Amazon's product identifier. BrowserAct returns ratings, review text, publication dates, reviewer details, and verified purchase status without an Amazon login, providing data for feedback research and competitor comparisons.

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• Gathering reviews of competing products
• Collecting feedback to identify product improvements
• Preparing comparisons by verified purchase status

Extract product names, prices, shipping details, and seller ratings from eBay search or category pages. Collect listings across multiple pages and regional eBay sites to prepare data for price comparisons and listing research.

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• Comparing prices for products listed on eBay
• Researching competing sellers and their listings
• Collecting listings across multiple category pages

Automate browser work with a command-line tool for AI agents. Extract JavaScript-rendered content, fill forms, upload files, capture screenshots and network responses, and manage separate browser sessions for tasks involving multiple accounts or manual assistance.

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• Extract content from JavaScript-rendered pages
• Automate form entry and file uploads
• Inspect page appearance through screenshots

Look up an Amazon product by ASIN, its unique product identifier, to retrieve the featured purchase offer, seller, price, availability, and fulfillment method. Compare other sellers' prices, shipping fees, and ratings in structured results.

中文简介正在准备中。当前显示英语简介。

• Checking the seller featured in the purchase box
• Comparing seller prices and shipping fees
• Reviewing seller ratings and feedback counts