'ratings' 검색 결과

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

How App Store ratings actually behave — per-storefront isolation (your US stars show nowhere else), the never-reset rule, phased release + manual release as rating protection, and where prompting/replying fit. Use when planning ratings strategy for new markets, considering a ratings reset, setting release options, or diagnosing "why is my rating missing in country X."

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Collect local business details, ratings, contact information, and requested reviews or emails from Google Maps. Guides users through running a local Docker scraper, validating searches, monitoring progress, and inspecting or organizing the results.

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• Finding businesses by industry and location
• Building a list of local sales prospects
• Collecting business ratings and reviews

Look up a company's Trustpilot profile using its domain to collect ratings, review counts, verification status, and contact details. Optional metrics show how the business responds to negative reviews, supporting company comparisons and reputation research.

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• Compare competitors' Trustpilot ratings
• Check suppliers' review reputation
• Add ratings and review counts to prospect lists

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

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

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

Collect structured business data from Google Maps search results, including names, addresses, ratings, and price ranges. Set search terms, language, country, and result limits to build lists for sales prospecting or local market research.

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• Build a list of local sales prospects
• Research competitor locations in a city
• Compare restaurant ratings and price ranges

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

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

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

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

Check and add structured data that describes user reviews and average ratings on product or service pages. Verify required fields against real reviews and validate the markup for star-rating search results.

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• Audit review markup on product pages
• Add average ratings from genuine user reviews
• Validate eligibility for star-rating search results

Collect reviews, ratings, and brand mentions from map, travel, and social platforms using Apify Actors, ready-made data collection tools. View a few results in chat or export the full dataset as CSV or JSON for reputation tracking.

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• Reviewing customer feedback on Google Maps
• Collecting hotel reviews from travel platforms
• Tracking brand mentions and comments on social media

Choose a model training method and configuration from paired response preferences or individual positive and negative ratings. Covers DPO, ORPO, KTO, and SimPO, including pair construction, repeated training rounds, and troubleshooting learning settings.

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• Choose a training method for paired response preferences
• Select a method for individual positive and negative ratings
• Review learning settings when DPO training loses general capability

Organize parallel code reviews across security, performance, architecture, testing, and accessibility. It helps assign review areas, merge duplicate findings, apply consistent severity ratings, and produce one report with locations, impacts, suggested fixes, and prioritized actions.

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• Assigning review areas for a code change
• Merging duplicate findings from multiple reviewers
• Aligning severity ratings across review reports

Review completed AI work by scoring task difficulty and execution quality separately. A fixed scoring matrix, arguments for higher and lower ratings, and saved score history help examine weaknesses and detect repetitive scoring patterns across sessions.

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• Evaluate a completed feature implementation
• Review the quality and coverage of a bug fix
• Reflect on work completed during a session

Assesses smart contract and blockchain codebases against Trail of Bits’ nine-category maturity framework. Produces evidence-backed ratings covering areas such as arithmetic, access controls, documentation, and testing, plus a prioritized improvement roadmap with effort estimates.

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• Assessing the maturity of a smart contract project
• Identifying gaps in tests and documentation
• Reviewing access controls and operational practices together

Collect Trustpilot reviews for a company domain, with filters for ratings, language, dates, and reply status. Get structured review text, reviewer details, and company responses across pages to support reputation research and customer service analysis.

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• Collect low-rated reviews to study customer complaints
• Gather reviews for competitor reputation comparisons
• Collect company replies and their publication dates

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

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

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

Collect product details from public shopping pages using a URL, keyword, or product identifier. Extract prices, stock status, images, ratings, and variants into structured data for product research, comparisons, and catalog collection.

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• Comparing product prices and stock across shopping sites
• Finding product details by ASIN or barcode
• Collecting images and descriptions for a product catalog

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