412 skills · sorted by relevance
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.
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.
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.
Scrape BOSS直聘 (job listing site) via Chrome CDP. Searches jobs by keyword/city/filters, fetches JD details, outputs structured JSON/CSV with plaintext salary, and can summarize scraped results into a job-market prompt. Use when user wants to search/analyze jobs on BOSS直聘 or zhipin.com.
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Google Maps scraper for lead generation. Turns a business type and a place into a clean CSV of local businesses by driving the gosom/google-maps-scraper engine, running locally in Docker as a REST API on localhost:8080. Returns 8 lead fields by default (name, phone, email, website, category, address, rating and review count), plus optional Instagram, Facebook and LinkedIn profiles or all ~34 raw fields. Use when the user wants a lead list, "a list of [businesses] in [place]", local business data, contact enrichment for places (emails, phones, socials), or a whole-city run past Google's ~120 results per search. Do not use for scraping Instagram, TikTok, YouTube, X or any other social media platform directly.
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Universal Web Scraper workflow skill. Use this skill when the user needs AI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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Scrape web pages to clean markdown using Firecrawl v2 — handles JS-heavy pages, site crawls, URL mapping, document parsing (PDF/DOCX/XLSX), LLM-powered extraction, autonomous agent scraping, and post-scrape browser interaction (Interact API). Free keyless mode available for search/scrape/parse/interact (no API key needed). Prefer over WebFetch for quality and completeness. Triggers on scrape URL, fetch page, crawl site, extract content, parse document, web to markdown, DeepWiki, Firecrawl.
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Extract website content into Markdown, HTML, or plain text with Scrapling. Handle JavaScript-rendered pages and anti-bot challenges, or write Python crawlers that follow links, collect structured data, and resume interrupted runs.
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.
Collect posts from X using keywords, user handles, or direct URLs. Get structured data containing post text, author details, engagement counts, and media information to support topic research and comparisons across posts.
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.
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.
Collect product listings from an Etsy shop URL, page by page. Return titles, images, current and original prices, ratings, review counts, and shipping badges to support shop comparisons, catalog collection, and repeated checks for changes.
Search Google Maps by business type and location, collect business details, then visit listed websites to find public emails, phone numbers, and social profiles. Merge the results into a contact dataset for local business research and prospect lists.
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.
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.
Explore how a website provides data or handles actions, then turn verified methods into a reusable Skill package with SKILL.md and Python scripts. The workflow includes testing, installation, and execution when requested.
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.
Collect product names, prices, images, ratings, and links from e-commerce listings or keyword searches. Apply filters such as price range and brand, and gather structured product records across multiple pages.
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.
Collect product listings from Etsy category and subcategory pages, including prices, ratings, shop names, images, and advertising or shipping labels. Follow pagination to gather products for competitor comparisons, category research, or potential supplier discovery.
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.
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.
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.