营销与社交媒体技能

Search Threads by keyword or hashtag and collect matching posts with text, authors, timestamps, and engagement counts. Choose relevant or popular results, or newest posts first, using public search results available without logging in.

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• Find posts discussing a specific topic
• Collect posts with a chosen hashtag
• Review engagement on matching posts

Collect comments from a specific Instagram post, including text, usernames, timestamps, like counts, and reply counts. Follow successive result pages and combine the available comments into a list for reviewing the discussion.

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• Collecting comments on a specific post
• Reviewing commenter names and posting times
• Checking comment likes and reply counts

Collect public posts from a Threads profile by username, including text, dates, engagement counts, and media information. Load additional posts by scrolling to build a collection of the account’s available content.

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• Collect a creator’s public Threads posts
• Compare likes and replies across posts
• Review an account’s recent activity

Search X posts by keyword, select relevant discussions, and compose replies using configured product details, brand persona, and tone. Post replies from the search results and record whether each submission succeeded, supporting topic-based outreach and engagement.

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• Find relevant posts and reply to topic discussions
• Keep reply tone consistent with a brand persona
• Introduce a product in contextually relevant replies

Collect posts from X profiles by username, choosing regular posts, posts with replies, or media posts. Receive structured text, author details, engagement counts, and media information for account research and content tracking.

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• Research posts from competitor accounts
• Collect a creator’s posting history
• Gather posts that include photos or videos

Retrieve a Xiaohongshu (RedNote) post’s text, author details, tags, and engagement counts, including likes and saves. Collect comments across successive page loads to review the post and its audience responses together.

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• Collecting a post’s text and author details
• Checking likes, saves, and shares
• Reviewing comments on a selected post

Search Xiaohongshu posts by keyword and filters, then collect body text, tags, image and video URLs, publication times, and engagement counts. Check both titles and body text to find relevant mentions for topic or brand research.

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• Find posts mentioning a brand
• Collect recent video posts
• Compare likes and saves across posts

Extract Google search results into structured data, including organic listings, ads, related searches, and People Also Ask questions. Set language and country parameters, collect result positions, and capture AI Overview text when it appears.

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• Checking result positions for a keyword
• Collecting ads shown in search results
• Gathering related searches and common questions

Search TikTok videos by keyword and collect paginated results with creator details, views, likes, comments, music, and video information. Use the list to research topics, compare competitor content, or discover relevant creators.

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• Researching videos about a specific topic
• Comparing competitor videos and engagement
• Discovering creators through keyword searches

Search Xiaohongshu posts by keyword and collect titles, authors, likes, saves, and comments in a paginated list. Filter by video or image-text posts and sort results to explore relevant content.

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• Finding posts about a specific topic
• Comparing likes, saves, and comments
• Discovering creators through keyword searches

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

Search Douyin videos by keyword and collect structured results with creator details, engagement counts, descriptions, hashtags, covers, and download links. Filter by posting period and sort by relevance, likes, or newest posts.

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• Researching Douyin videos about a specific topic
• Comparing videos sorted by likes
• Collecting recent posts and hashtags

Search Meta Ad Library by keyword or Facebook page ID and collect ad text, images, videos, destination links, and publishing platforms. Filter by country and ad status to gather material for competitor advertising research.

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• Researching competitors' ad copy and visuals
• Collecting ads from a specific Facebook page
• Comparing ads by country and publishing platform

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

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 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

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

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 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

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 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

Turn CHANGELOG.md entries into English and French announcement drafts for LinkedIn, Twitter/X, newsletters, and Slack. Select a release or week, highlight useful changes, and optionally choose the audience, format, and language.

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• Preparing announcements after a release
• Summarizing a week of releases
• Adapting updates for different posting channels