BrowserAct

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

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 ranked products from Amazon Best Sellers pages across regional sites. Return product titles, prices, ratings, product identifiers, category details, and pagination information for category research or repeated snapshots of ranking changes.

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• Collect bestseller lists by category
• Compare competing products by rank, price, and rating
• Build ranking history from repeated snapshots

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 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

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 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 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

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

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 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 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 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 Amazon product data from ASINs, unique product identifiers, and compare prices, specifications, reviews, and product images. Produce comparison tables and reports that highlight competitive strengths, weaknesses, and potential market opportunities.

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• Comparing competing products by ASIN
• Reviewing price ranges for similar products
• Comparing specifications, features, and materials

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

Analyze an Amazon competitor by ASIN, its product identifier, using listing text, keywords, images, and reviews. Identify competitor strengths and unmet buyer needs, then turn those findings into positioning and product opportunities for your brand.

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• Analyze a competitor's titles and selling points
• Review keyword placement across a listing
• Find unmet buyer needs in reviews

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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