查找技能

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

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

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

Gather structured product data from Amazon search results using keywords, a brand filter, and a product limit. Collect prices, ratings, review counts, availability, and delivery details for market research or product catalog preparation.

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• Research products from a specific brand
• Compare prices and purchase availability
• Collect ratings and review counts for competitor research

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

Extract Amazon search results with product titles, prices, ratings, identifiers, and available specifications. Set keywords, brand, page count, and browsing language to gather structured information for market research, competitor comparisons, and product catalog updates.

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• Comparing prices across competing brands
• Researching highly rated products by keyword
• Adding product identifiers and attributes to a catalog

Collect business information from Google Maps using search keywords, language, and a country preference. Retrieve names, addresses, phone numbers, websites, ratings, and operating status for local market research or sales lead lists.

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• Build sales lead lists for a specific industry
• Research nearby competitors
• Collect business contact details for a local directory

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

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

Search for social media profiles associated with a person, brand, or business across platforms including Facebook, Twitter, Instagram, LinkedIn, and TikTok. Receive a downloadable CSV with profile links, follower counts, page titles, and description snippets.

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• Research a brand's presence across social platforms
• Find competitors' social media profiles
• Locate creators across multiple platforms

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 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

Collect product listings from Walmart category pages, including prices, ratings, availability, and seller details. Use filtered category URLs and browse multiple pages to gather structured data for product comparisons and category research.

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• Collecting products from a filtered category
• Comparing prices and ratings within a category
• Checking availability and seller information

Search Taobao and Tmall by keyword and collect product listings with displayed prices, shop names, images, sales figures, and tags. Use price filters, sorting, and pagination to compare products or research multiple keywords.

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• Find products matching a keyword
• Compare listings within a price range
• Research Tmall-only product listings

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

Collect product listings from an Etsy shop URL, page by page. Return titles, images, current and original prices, ratings, review counts, and shipping badges to support shop comparisons, catalog collection, and repeated checks for changes.

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• Collect an Etsy shop's product catalog
• Compare competing shops' products and prices
• Check a specific shop's prices over time

Look up Amazon products using an ASIN, Amazon's unique product identifier. Retrieve structured details such as title, current price, ratings, brand, description, and material to enrich product catalogs or support price and rating comparisons.

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• Enriching product catalogs using ASINs
• Comparing Amazon prices with other retailers
• Checking changes in average ratings and rating counts

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

Search Google Maps by business type and location, collect business details, then visit listed websites to find public emails, phone numbers, and social profiles. Merge the results into a contact dataset for local business research and prospect lists.

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• Build a contact list for businesses in a specific area
• Find public business emails on listed websites
• Collect local competitors' details and opening hours

Gather Product Hunt launches from daily, weekly, monthly, or yearly leaderboards. Collect rankings, descriptions, votes, and product links, with optional maker profiles and visible website email addresses for product discovery and competitor research.

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• Finding new products for a selected period
• Collecting rankings and votes for competitor research
• Researching makers and their profile links

Find a company's official website and social profiles from its name, or extract social profile links from a website URL. Structured results help fill gaps in sales contact lists and research a company's online presence.

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• Adding official websites and social links to sales leads
• Collecting a creator's social profiles from their website
• Researching competitors' social media presence

Find social media profiles through Google using a person’s name, brand name, or username. Collect platform names, profile links, usernames, description snippets, and follower counts where they appear in search results.

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• Find a person’s profiles across social platforms
• Collect links to a brand’s social media pages
• Find influencer profile candidates

Collect Airbnb accommodation search results for a destination, including listing links, locations, ratings, prices, photos, and badges. Specify dates, guest counts, and budget filters, then retrieve multiple pages of accommodation options.

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• Collecting accommodation options for a destination
• Finding listings within a budget for specific dates
• Comparing accommodation ratings and photos

Find public professional profiles by industry, job title, and website using the BrowserAct API. Collect names, profile links, biographies, and company affiliations to build prospect lists, identify recruiting targets, or research key people at competitors.

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• Finding founders and CEOs for sales prospecting
• Identifying candidates for key roles
• Researching key people at competitors