Automated web scraper selecting optimal Actors for 55+ platforms including Instagram, TikTok, YouTube, Facebook, Google Maps, and more. Covers 55+ pre-configured Actors across 8 major platforms with use-case-specific selection guidance (lead generation, influencer discovery, brand monitoring, competitor analysis, trend research) Supports three output formats: quick chat display, CSV export, or JSON export with customizable result limits Includes multi-Actor workflow patterns for complex tasks like lead enrichment, influencer vetting, and competitor deep-dives Dynamically fetches Actor schemas and input parameters via mcpc CLI, then executes runs with automatic error handling and follow-up suggestions
Search the web via the Bright Data CLI — `bdata search` for Google/Bing/Yandex SERP, `bdata discover` for intent-ranked semantic results. Use when the user…
Multi-platform market research data extraction via Apify Actors across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor. Supports 16+ specialized Actors covering location density, pricing, consumer behavior, hashtag trends, hospitality data, and review analysis Workflow guides users through Actor selection, schema fetching, preference configuration, and result export in CSV or JSON formats Requires Apify token authentication and Node.js 20.6+; includes error handling for common setup and execution issues Outputs can be displayed inline for quick answers or saved as structured files for deeper analysis
Identifies high-quality leads by analyzing your business, searching for target companies, and ranking them with personalized outreach strategies. Analyzes your product/service and ideal customer profile to find matching companies based on industry, size, technology stack, and pain points Prioritizes leads with fit scores (1-10) and provides decision-maker titles, LinkedIn URLs, and company context for each prospect Generates personalized outreach strategies, value propositions, and conversation starters tailored to each lead's specific business Works with codebase context when run from your product directory for automatic product understanding Outputs results in scannable format ready for CRM import or direct outreach campaigns
Multi-platform lead scraping from Google Maps, social media, websites, and search engines. Supports 16+ Actors covering Google Maps, Instagram, TikTok, Facebook, YouTube, LinkedIn, Google Search, and contact enrichment Dynamically fetches Actor schemas via mcpc CLI to determine required and optional input parameters before execution Outputs results as quick chat summaries, CSV, or JSON files with configurable result limits Requires APIFY_TOKEN in .env file and Node.js 20.6+ for environment variable support
Multi-platform trend discovery and tracking across Google Trends, Instagram, Facebook, YouTube, and TikTok. Supports 19 specialized Apify Actors covering search trends, hashtag tracking, engagement metrics, and viral content discovery across five major platforms Dynamically fetches Actor schemas using mcpc CLI to retrieve input parameters and output fields before execution Outputs results in three formats: quick chat display, CSV export, or JSON export with customizable result counts Includes structured workflow with Actor selection, schema validation, user preference collection, and automated analysis execution with error handling
Web search with ranked results, snippets, and support for freshness filters, SafeSearch, and custom ranking via Goggles. Returns structured results across multiple types: web pages, news, videos, discussions, FAQ, infobox, and locations in a single response Supports freshness filtering (past day/week/month/year or custom date ranges), SafeSearch levels, and location-aware results via headers Goggles enable custom result ranking: boost trusted sources, suppress spam, or build focused search scopes using inline rules or hosted filters Rich data enrichments for weather, stocks, currency, sports, and other vertical queries via callback workflow Includes search operators (site, filetype, intitle, language, exact match, AND/OR/NOT) and optional spellcheck correction
Query decomposition and multi-source search orchestration. Breaks natural language questions into targeted searches per source, translates queries into…
Multi-platform competitor analysis via Apify Actors for Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. Covers 25+ specialized Actors across seven platforms, each optimized for specific analysis types: business data extraction, review comparison, ad strategy monitoring, content performance, and audience insights Requires Apify token, Node.js 20.6+, and the mcpc CLI tool to fetch Actor schemas and run analyses dynamically Supports three output formats: quick chat display, CSV export, or JSON export with configurable result limits Includes structured workflow with schema fetching, user preference collection, script execution, and findings summarization
Monitor brand reputation across Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok. Supports 16+ dedicated Apify Actors covering reviews, ratings, comments, and mentions across all major platforms Flexible output formats: display results in chat, export to CSV, or save as JSON for downstream analysis Requires Apify token and Node.js 20.6+; uses mcpc CLI to dynamically fetch Actor schemas and input parameters Workflow guides users through platform selection, schema retrieval, preference collection, and result summarization in five structured steps
Interprets Culture Index behavioral profiles, team dynamics, and hiring fit using trait analysis and burnout detection. Analyzes individual CI profiles to identify behavioral archetypes, strengths, and trait-based challenges using distance-from-arrow methodology Assesses team composition via Gas/Brake/Glue framework; detects burnout by comparing Survey (hardwired traits) vs Job (adaptive behavior) graphs and calculating energy utilization Supports hiring profile definition, manager coaching, conflict mediation, and onboarding planning based on CI trait patterns Accepts extracted JSON or PDF input (with automated extraction via OpenCV script); predicts CI traits from interview transcripts for pre-assessment candidate evaluation
Extract and analyze competitors' ads from ad libraries to identify successful messaging, creative patterns, and positioning strategies. Scrapes ads from Facebook Ad Library, LinkedIn, and other platforms, capturing screenshots and analyzing messaging themes, pain points, and value propositions Identifies patterns in successful ads by categorizing them by theme, audience, and format, then explains why certain approaches likely perform well Supports competitive set analysis across multiple competitors to compare positioning, messaging evolution over time, and industry-wide trends Generates actionable insights for your own campaigns, including copy formulas, visual patterns, audience targeting angles, and creative approaches worth testing
Research competitors and generate an interactive HTML battlecard for sales. Analyzes 1–5 competitors via web search, pulling product features, pricing, recent releases (90 days), positioning, and customer sentiment Outputs a self-contained HTML artifact with a comparison matrix overview and clickable tabs for each competitor, including talk tracks, objection handling, and "landmine questions" to expose weaknesses Optional connectors to CRM, docs, chat, and transcripts enrich battlecards with win/loss data, existing playbooks, field intel, and customer call mentions Triggered by phrases like "competitive intel," "research competitors," "how do we compare to [competitor]," or "battlecard for [competitor]"
Plan, conduct, and synthesize user research. Trigger with "user research plan", "interview guide", "usability test", "survey design", "research questions", or…
Synthesize user research into themes, insights, and recommendations. Use when you have interview transcripts, survey results, usability test notes, support…