'scrape' 검색 결과

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 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

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

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.

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• Save article text as Markdown
• Extract content loaded by JavaScript
• Retrieve pages with anti-bot protections

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.

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• Collecting posts about a keyword or hashtag
• Comparing posts from specific accounts
• Gathering posts within a date or language filter

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.

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• Collect low-rated reviews to study customer complaints
• Gather reviews for competitor reputation comparisons
• Collect company replies and their publication dates

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

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

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.

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• Collect an Etsy shop's product catalog
• Compare competing shops' products and prices
• Check a specific shop's prices over time

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 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.

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• Compare competing products in an Etsy category
• Research seasonal product listings
• Find potential suppliers by category

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.

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• Turn recurring website tasks into reusable Skills
• Investigate how a site loads its data
• Build a verified method for bulk data collection

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

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 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.

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• Compare products within a price range
• Collect products from a category
• Find products by brand and rating

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

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

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.

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• Build a contact list for businesses in a specific area
• Find public business emails on listed websites
• Collect local competitors' details and opening hours

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

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