BrowserAct

Search Google News by keyword and publication period through the BrowserAct API. Collect headlines, publishers, publication times, and article links in a structured form for industry research, brand coverage checks, and competitor news tracking.

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• Tracking news about an industry
• Checking brand coverage from the past 24 hours
• Collecting competitors’ news from the past week

Manage Reddit account activity through a staged 30-day plan, progressing from browsing and voting to comments and brand promotion. Track daily work, publishing approvals, account progress, and follow-up replies using local records.

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• Start a staged activity plan for a new Reddit account
• Manage daily Reddit tasks and progress
• Review comment and post drafts before publishing

Collect a TikTok creator’s profile and video list from their username, including views, likes, music, and video details. Use the structured results to research creators, review competitors’ posts, or archive information about their content.

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• Researching a TikTok creator’s profile and posts
• Reviewing competitors’ video engagement
• Archiving a creator’s video information

Manage Xiaohongshu content from topic research to performance tracking. Find audience problems, study successful writing styles, prepare product-focused posts and covers, publish approved content, and collect results to review how posts perform.

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• Find product-related topics based on audience problems
• Draft posts using successful writing styles as references
• Publish approved content or save it as a draft

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

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

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 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 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 Indeed job listings by keyword, location, and country, with job titles, companies, salaries, full descriptions, benefits, and application links. The structured results support job comparisons, salary research, and analysis of companies’ hiring activity.

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• Comparing jobs by role and location
• Researching advertised salary ranges
• Reviewing competitors’ hiring activity

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 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

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

Extract structured product details from Walmart URLs, including prices, availability, specifications, images, and color or size options. Gather fulfillment choices, return policies, and review summaries to support product comparisons and catalog building.

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• Build a catalog from Walmart product URLs
• Compare product specifications and variants
• Check product prices and availability

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

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