查找技能

Collect Reddit posts and comments through the BrowserAct API using keywords, date filters, and sorting options. Results include votes, authors, timestamps, and reply relationships, providing structured source data for competitor research and reviews of community feedback.

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• Collecting Reddit mentions of competitors
• Gathering comments about a brand’s reputation
• Researching user feedback on products and topics

Find YouTube channels by keyword and collect channel names, links, subscriber counts, descriptions, and verification status through the BrowserAct API. Filter by recent uploads to research competitors, discover creators, or compile a channel database.

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• Finding creators in a specific niche
• Collecting competitor channel information
• Finding recently active channels for partnerships

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

Crawl linked pages within a chosen website scope and collect clean text, Markdown, or HTML with page metadata. Use the resulting records as source material for AI search systems or chatbot knowledge bases.

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• Collect documentation as Markdown
• Prepare source material for a chatbot knowledge base
• Gather blog content within a chosen scope

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

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 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 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

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

Extract wholesale product details from 1688.com, including quantity-based prices, product variants with dimensions and weight, seller information, shop scores, promotions, and review summaries. Organize these details to compare sourcing options and supplier metrics.

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• Compare wholesale prices by order quantity
• Check dimensions and weight for product variants
• Compare supplier scores and repeat purchase rates

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 for a Taobao or Tmall product using its item ID. Extract reviewer names, dates, purchased variants, review text, and photo URLs across review pages to prepare material for feedback analysis or review datasets.

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• Collecting customer reviews for a specific product
• Preparing review data for sentiment analysis
• Checking feedback by purchased product variant

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

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

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

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

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 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 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

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

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 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

Find GitHub projects using keywords, minimum stars, and update dates, then collect repository details and contributor profiles through BrowserAct. Results include project descriptions, contributor biographies, personal websites, and Twitter handles for research, recruiting, or collaboration scouting.

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• Discover open-source projects in a specific field
• Collect developer profiles for recruiting
• Find potential collaborators and sponsors

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