@browser-act
Organization
AI-powered web scraping and browser automation at scale.
102 skills1 repository 6.2K
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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