web-research-assistant
The web-research-assistant skill uses the BrowserAct API to conduct internet searches when standard web access is restricted or blocked, retrieving and extracting information from multiple sources. Use it when target websites block AI access, geographic restrictions apply, paywalls exist, or you need current information beyond cached data and supplemental sources for comprehensive research tasks.
git clone --depth 1 https://github.com/browser-act/skills /tmp/web-research-assistant && cp -r /tmp/web-research-assistant/solutions/search-research/web-research-assistant ~/.claude/skills/web-research-assistantSKILL.md
# Web Research Assistant This skill leverages **BrowserAct API** to provide powerful web research capabilities. When primary web access is restricted or blocked, it automatically searches the internet to find and extract relevant information, ensuring your research tasks are completed successfully. ## ✨ OpenClaw & Claude Code Optimized **🚀 Works Seamlessly with OpenClaw and Claude Code** | Platform | Status | Installation | |----------|--------|--------------| | **OpenClaw** | ✅ **Highly Recommended** | Copy to `~/.openclaw/skills/` | | **Claude Code** | ✅ **Highly Recommended** | Native skill support | | **OpenCode** | ✅ Fully Supported | Copy to `~/.opencode/skills/` | | **Cursor** | ✅ Fully Supported | Copy to `~/.cursor/skills/` | **Why This Skill?** - 🎯 **Purpose-built for OpenClaw and Claude Code** - 🔄 **Auto-recovery** when web access is restricted - 🌐 **Global access** - no IP or geoblocking issues - 💰 **Cost-effective** - saves token usage - ⚡ **Fast execution** - BrowserAct powered ## 🎯 When to Use **Web Access Restricted? No Problem!** Use this skill when: - 🔒 Target websites block AI assistant access - 🌍 Geographic restrictions limit content access - 🔐 Paywalls prevent data extraction - ⏱️ Need quick supplemental information - 📊 Research requires multiple data sources - 🔍 Need current information beyond cached data ## 🔑 API Key Guidance Before running, check the `BROWSERACT_API_KEY` environment variable. If not set, request the API key from the user: **Required Message**: > "Please provide your BrowserAct API Key from [BrowserAct Console](https://www.browseract.com/reception/integrations) to enable web research capabilities." ## 🛠️ Input Parameters Configure research based on your needs: | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `query` | string | - | Research topic or question | | `engine` | string | google | Search engine (google, bing, duckduckgo) | | `max_results` | number | 10 | Results to retrieve (1-50) | | `content_type` | string | all | Content filter (all, news, articles, data) | | `time_range` | string | past_month | Time filter (anytime, past_day/week/month/year) | ## 💻 Quick Start ```bash # Basic research python web-research-assistant/scripts/research.py "AI technology trends" # Deep research with more results python web-research-assistant/scripts/research.py "competitor analysis" --max-results 20 # Current news research python web-research-assistant/scripts/research.py "market trends" --content-type news # Save to file python web-research-assistant/scripts/research.py "industry data" -o research_report.md ``` ## 📊 Output **Structured Research Data:** - Titles, URLs, snippets, and relevance scores - Key facts and statistics extraction - Source citations and references - Comprehensive research report ## 🎪 What This Skill Does 1. **🔄 Auto-Supplement** - When direct access fails, automatically searches the web 2. **🌐 Global Search** - Bypasses geographic restrictions via BrowserAct 3. **📈 Multi-Source** - Aggregates data from multiple search results 4. **✅ Validation** - Cross-references information for accuracy 5. **📋 Report Generation** - Creates comprehensive research reports --- ## Features 1. **No hallucinations, ensuring stable and accurate data extraction**: Pre-set workflows eliminate AI-generated hallucinations. 2. **No human verification challenges**: Built-in bypass mechanisms eliminate the need to handle reCAPTCHA or other verification challenges. 3. **No IP access restrictions or geofencing**: Overcomes regional IP limitations for stable global access. 4. **Faster execution speed**: Tasks complete more rapidly than purely AI-driven browser automation solutions. 5. **Exceptional cost-effectiveness**: Significantly reduces data acquisition costs compared to token-intensive AI solutions. --- ## 🔧 BrowserAct API Integration ``` Research Request → BrowserAct Search → Data Extraction → Validation → Final Report ``` **Powered by BrowserAct MCP** for reliable, unrestricted web access. --- ## ⚠️ Error Handling - **Invalid API Key**: Report to user, do not retry - **Search Failed**: Automatic retry with fallback engine - **No Results**: Return partial data with notification - **Timeout**: Extended timeout for large research tasks --- ## 📖 Best Practices 1. Use **specific queries** for targeted results 2. Apply **time filters** for current information 3. **Cross-reference** key findings 4. Choose **appropriate content types** for research goals 5. **Validate** statistics with multiple sources --- ## 🔗 Related Skills - `amazon-competitor-analyzer` - Amazon competitive intelligence - `google-maps-search-api-skill` - Business data extraction - `google-news-api-skill` - News monitoring --- **Version**: 1.0.0 **Updated**: 2026-03-27 **API**: BrowserAct MCP
Extracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688, 1688.com, wholesale China, alibaba wholesale, B2B China sourcing, Chinese wholesale scraper, 1688 product scrape, 1688 offer, 1688 detail, extract 1688 data, pull 1688 listings, get wholesale price, 1688 supplier info, factory stats 1688, 1688 SKU variants, 1688 product attributes, 1688 shop score, DSR score 1688, 1688 buyer protection, 1688 cross-border, 1688 dropship. Also applies to: scraping bulk product data from 1688 by offer ID list, monitoring 1688 supplier metrics, extracting 1688 pricing tiers for resale analysis.
Fetches complete Airbnb listing details for a given numeric listing ID via the internal GraphQL API, returning title, room type, description, amenities, photos, coordinates, city, house rules, highlights, ratings, review count, bedroom configuration, and property overview. Use when user mentions Airbnb listing details, Airbnb property info, Airbnb room details, get Airbnb listing data, Airbnb amenities list, Airbnb house rules, Airbnb property description, Airbnb detail page scraper, Airbnb rooms detail, Airbnb property page data, Airbnb listing info, fetch Airbnb room details, pull Airbnb listing.
Extracts Airbnb accommodation search results from a destination query via SSR-embedded data, returning listing ID, URL, name, coordinates, rating, price, photos, and badge info for each result, plus pagination cursors for multi-page retrieval. Use when user mentions Airbnb search results, Airbnb listings, vacation rental search, short-term rental listings, scrape Airbnb, get Airbnb data, find rentals on Airbnb, Airbnb destination search, Airbnb property list, Airbnb stays search, Airbnb accommodation results, pull Airbnb listings, collect Airbnb search data, Airbnb scraper, Airbnb search page extraction, Airbnb search by destination.
Amazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations from conversational AI, automating repeated queries to Amazon's AI shopping feature, collecting Alexa shopping responses at scale, or market research within a specific product category.
This skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.
This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.
Amazon Best Sellers listing scraper: extract product cards from any Amazon Best Sellers (zgbs) or /gp/bestsellers/ category page — returns rank (position on chart), asin, title, url, image, imageAlt, price, stars, reviewCount, ratingRaw per item, plus category metadata (categoryName, categoryFullName, categoryUrl) and pagination state (currentPage, hasNextPage, nextPageUrl). Works across all Amazon regional TLDs (amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, etc.). Use when user mentions Amazon Best Sellers, Amazon bestsellers, Amazon top 100, Amazon zgbs, Amazon /zgbs/, Amazon /gp/bestsellers/, Amazon Best Sellers Rank, Amazon BSR, Amazon top ranked products, Amazon top-selling products, Amazon chart, Amazon category ranking, Amazon best sellers by category, Amazon best sellers electronics, Amazon best sellers kitchen, Amazon best sellers toys, scrape Amazon bestsellers, extract Amazon top 100, Amazon rank scraper, Amazon best seller list, Amazon leaderboard, Amazon trending products, discover trending Amazon products, Amazon niche discovery, Amazon top ranked ASINs. Also applies to competitive intelligence via ranking snapshots, spotting up-and-coming products, sourcing bestseller ASINs for further enrichment, tracking rank changes over time, and building bestseller-per-category datasets.
This skill helps users extract basic product details other sellers prices and seller ratings from Amazon via ASIN automatically using the BrowserAct API. Agent should proactively apply this skill when users express needs like query Amazon buy box information, monitor Amazon product prices, extract Amazon product details by ASIN, check other sellers prices on Amazon, get Amazon seller ratings and feedback count, monitor buy box ownership for a specific ASIN, track Amazon fulfillment methods for competitors, compare Amazon product prices across different sellers, retrieve Amazon buy box availability status, analyze Amazon seller profile details.