Model Context Protocol (MCP) is a powerful way to connect LLMs with external tools, but it’s confusing on its own. It’s hard to set up for non-technical people, and even when you get it running, it’s not always obvious how to use it or what it’s actually good for.
That’s exactly why we built the Apify MCP Configurator. It makes working with MCP simple by letting you easily set up configurations for different use cases without guesswork or trial and error.
With the Apify MCP Configurator, you can:
- Search and choose the right Actors for your use case. Whether you need scrapers, automation flows, or APIs, you can pick proven tools from Apify Store.
- Pick the right tools for your role. Developers might use Apify Docs inside their IDE or monitor logs of Actors. Business users might prefer Actor management tools and Data storage for scraping and reporting.
- Get a ready-to-use configuration URL. Once you’ve chosen your Actors and tools, the configurator generates a URL you can plug into your MCP client (like Claude Desktop).
- Run multiple setups. You can create different configurations for different workflows. Just name them accordingly to keep things organized.
To get you started, we’ve prepared 5 practical use cases, each with pre-built configurations and example prompts. You can copy and paste these URLs directly into your MCP client to start experimenting today, or use them as inspiration to build your own setups.
5 MCP examples you can use today
The following MCP use cases are already set up with the exact integrations and system prompts that work.
💸 Use code MCP_APIFY at signup for 30% off your Apify plan
1. YouTube lead generation
Goal: Find business contact info for YouTube creators
Actors used:
Example prompt:
I need you to generate leads by scraping YouTube profiles and extracting contact information by using Apify-Youtube MCP.
Step 1: YouTube Profile Discovery
Search for YouTube channels about "MCP", "scraping" and "Apify" using Fast YouTube Scraper and give max 10 results.
Step 2: Initial Contact Information
From the results get me:
- Channel name
- URL
- Subscriber count
- Channel description
- Bio (including all emails, websites or social media links)
Step 3: Contact Information Enhancement For profiles where email information is missing or incomplete
Use vdrmota/contact-info-scraper to extract contact info from website URLs for channel where's missing info and get me:
- Emails
- All social media links
- Phone numbers (if available)
Step 4: Lead Qualification and Organization
Create a structured output with channel name, all links and all possible contact methodsOutput:
# YouTube Lead Generation Report: MCP, Scraping & Apify Channels ## 🎯 Top Priority Leads (Direct Relevance to MCP/Scraping/Apify) ### 1. Apify ⭐⭐⭐⭐⭐ - Channel Name: Apify - Subscribers: 9,720 - Channel URL: https://www.youtube.com/@Apify - Description: Official web scraping and automation platform channel - Contact Methods: - 📧 Email: hello@apify.com - 🔗 LinkedIn: https://www.linkedin.com/company/apify - 🐦 Twitter/X: https://x.com/apify - 💬 Discord: https://discord.com/invite/jyEM2PRvMU - 🎵 TikTok: https://www.tiktok.com/@apifytech - 🌐 Website: https://apify.com - Content Focus: Web scraping tutorials, Actor development, AI integration, lead generation ### 2. John Watson Rooney ⭐⭐⭐⭐ - Channel Name: John Watson Rooney - Subscribers: 102,000 - Channel URL: https://www.youtube.com/@JohnWatsonRooney - Description: Python, web scraping and API tutorials - Contact Methods: - 🌐 Website: https://johnwatsonrooney.com (contact info not extracted) - 📺 YouTube: Direct channel messaging - Content Focus: Modern web scraping techniques, Python automation ### 3. ParseHub ⭐⭐⭐⭐ - Channel Name: ParseHub - Subscribers: 14,000 - Channel URL: https://www.youtube.com/@ParsehubApp - Description: Visual data extraction tool tutorials - Contact Methods: - 🌐 Website: https://www.parsehub.com - 📺 YouTube: Direct channel contact - Content Focus: Web scraping tutorials, data extraction ## 🤖 High-Value AI/Tech Leads (MCP & Development Focus) ### 4. Anthropic ⭐⭐⭐⭐⭐ - Channel Name: Anthropic - Subscribers: 261,000 - Channel URL: https://www.youtube.com/@anthropic-ai - Description: AI safety and research company, creators of Claude - Contact Methods: - 🔗 LinkedIn: https://www.linkedin.com/company/anthropicresearch - 🐦 Twitter/X: https://x.com/AnthropicAI - 🌐 Website: https://www.anthropic.com - Content Focus: MCP (Model Context Protocol), AI development ### 5. Microsoft Developer ⭐⭐⭐⭐⭐ - Channel Name: Microsoft Developer - Subscribers: 637,000 - Channel URL: https://www.youtube.com/@MicrosoftDeveloper - Description: Official Microsoft Developer channel - Contact Methods: - 🐦 Twitter/X: https://twitter.com/msdev - 📷 Instagram: https://www.instagram.com/microsoftdeveloper - 📺 YouTube: https://www.youtube.com/Microsoftdeveloper - 🌐 Website: https://developer.microsoft.com - Content Focus: MCP tutorials, development tools, Azure ### 6. KodeKloud ⭐⭐⭐⭐ - Channel Name: KodeKloud - Subscribers: 243,000 - Channel URL: https://www.youtube.com/@KodeKloud - Description: DevOps and Cloud technologies training - Contact Methods: - 📧 Email: support@kodekloud.com - 🔗 LinkedIn: https://www.linkedin.com/company/kodekloud - 🐦 Twitter: https://twitter.com/KodeKloudHQ - 💬 Discord: https://discord.com/invite/kodekloud-community-1197109182172770304 - 📷 Instagram: https://www.instagram.com/kodekloud - 📘 Facebook: https://www.facebook.com/KodeKloudHQ - 🧵 Threads: https://www.threads.net/@kodekloud - 🌐 Website: https://kodekloud.com - Content Focus: MCP tutorials, AI integration, DevOps ### 7. Dave Ebbelaar ⭐⭐⭐⭐ - Channel Name: Dave Ebbelaar - Subscribers: 207,000 - Channel URL: https://www.youtube.com/@daveebbelaar - Description: AI Engineer, founder of Datalumina - Contact Methods: - 🔗 LinkedIn: https://www.linkedin.com/in/daveebbelaar - 🌐 Website: https://www.datalumina.com - Content Focus: MCP crash courses, Python development, AI systems ## 💡 Tech Influencer Leads (Large Audience) ### 8. Fireship ⭐⭐⭐⭐⭐ - Channel Name: Fireship - Subscribers: 3,980,000 - Channel URL: https://www.youtube.com/@Fireship - Description: High-intensity code tutorials and tech news - Contact Methods: - 📧 Email: hello@fireship.io - 🔗 LinkedIn: https://www.linkedin.com/company/fireship-io - 🐦 Twitter: https://twitter.com/fireship_dev - 💬 Discord: https://discord.gg/SpDdJ3qaKK - 📷 Instagram: https://instagram.com/fireship_dev - 📘 Facebook: https://www.facebook.com/fireship.io - 🎵 TikTok: https://www.tiktok.com/@fireship_dev - 🌐 Website: https://fireship.io - Content Focus: Web scraping legal aspects, tech tutorials ### 9. ByteByteGo ⭐⭐⭐⭐⭐ - Channel Name: ByteByteGo - Subscribers: 1,250,000 - Channel URL: https://www.youtube.com/@ByteByteGo - Description: System design and architecture content - Contact Methods: - 🌐 Website: https://bytebytego.com - 📺 YouTube: Direct channel contact - Content Focus: MCP explanations, system design ### 10. Greg Isenberg ⭐⭐⭐⭐ - Channel Name: Greg Isenberg - Subscribers: 459,000 - Channel URL: https://www.youtube.com/@GregIsenberg - Description: Startup ideas & AI tutorials - Contact Methods: - 🔗 LinkedIn: https://www.linkedin.com/in/gisenberg - 🐦 Twitter: https://twitter.com/gregisenberg - 📷 Instagram: https://www.instagram.com/gregisenberg - 🌐 Website: https://gregisenberg.com - Content Focus: MCP explanations, AI for startups ## 📊 Lead Summary Statistics - Total Leads Generated: 10 YouTube channels - Combined Subscriber Base: ~6.3 million subscribers - Channels with Email Contact: 3 (Apify, Fireship, KodeKloud) - Channels with Full Social Media Presence: 6 - Direct MCP/Scraping Focus: 5 channels - AI/Development Focus: 5 channels ## 🎯 Recommended Outreach Priority 1. Immediate High Priority: Apify, John Watson Rooney, ParseHub (direct scraping relevance) 2. Secondary Priority: Anthropic, Microsoft Developer, KodeKloud (MCP content creators) 3. Influencer Outreach: Fireship, ByteByteGo, Greg Isenberg (large audiences) 4. Developer Community: Dave Ebbelaar (Python/AI focus) ## 💼 Best Contact Methods by Channel - Email Available: Apify, Fireship, KodeKloud - LinkedIn Professional Outreach: All channels except ParseHub and ByteByteGo - Discord Communities: Apify,
2. Sentiment analysis for hotels
Goal: Analyze guest sentiment for the Four Seasons Prague across review platforms
Actors used:
Example prompt:
Task: Conduct a comprehensive sentiment analysis of the Four Seasons Hotel Prague (https://www.fourseasons.com/prague/) using guest reviews from Google Maps, Facebook, Booking.com, and TripAdvisor using Apify-Hotel-Reviews MCP.
Instructions:
1. Collect reviews from each platform (preferably the most recent ones, at least 30 per platform).
2. Classify sentiment of each review (positive, neutral, negative) and identify key themes such as:
◦ Staff & service
◦ Location
◦ Rooms & facilities
◦ Cleanliness
◦ Food & dining
◦ Value for money
3. Provide platform-specific insights:
◦ Average star rating / score
◦ General sentiment breakdown (e.g., 80% positive, 15% neutral, 5% negative)
◦ Representative quotes from reviews
4. Cross-platform comparison: Summarize similarities and differences between platforms. Note any recurring strengths or criticisms.
5. Final synthesis: Deliver an overall sentiment profile of the hotel—what guests love most, where they see room for improvement, and any patterns over time (if visible).
Output format:
• Section 1: Google Maps analysis
• Section 2: Booking.com analysis
• Section 3: TripAdvisor analysis
• Section 4: Cross-platform comparison
• Section 5: Overall sentiment summary (strengths, weaknesses, and key takeaways)Output:
Comprehensive Sentiment Analysis: Four Seasons Hotel Prague Section 1: Google Maps Analysis Overall Statistics: Average Rating: 4.7/5.0 stars (from 2,134 total reviews) Recent Reviews Analyzed: 50 reviews (August-September 2025) Sentiment Breakdown: Positive (4-5 stars): 85% Neutral (3 stars): 6% Negative (1-2 stars): 9% Key Themes Identified: Staff & Service (Most Mentioned) Positive Highlights: Consistently praised for attentive, professional, and friendly staff Concierge services highly valued for arranging tours and special experiences Quick response to requests through the Four Seasons app Multilingual staff accommodating international guests Representative Quotes: "Staff are attentive and handle requests quickly" "Service wird hier großgeschrieben und gelebt" (Service is paramount here) "The service is what you would expect from a Four Seasons - friendly, professional and prompt" Areas of Concern: Some isolated incidents of service lapses (bar service delays) Occasional housekeeping oversights (missed turndown service) Location (Consistently Praised) Prime position next to Vltava River Walking distance to Charles Bridge (2 blocks) Easy access to Jewish Quarter and Old Town Square Most attractions within 7-10 minute walk Views of Prague Castle highly valued Rooms & Facilities Strengths: Beautiful, quiet, well-maintained rooms Comfortable beds with quality linens Tasteful décor mixing classic and contemporary elements River view rooms particularly appreciated Thoughtful details (phone chargers, converters provided) Weaknesses: Some guests noted rooms feel "outdated" or "tired" Occasional air conditioning issues reported Noise from doors in some rooms Food & Dining CottoCrudo restaurant receives consistent praise Breakfast buffet quality and variety appreciated Afternoon tea/high tea is a standout experience Bar service mixed reviews (some delays reported) Room service maintains high standards Spa & Wellness Pool area described as "small but fine" Spa treatments well-regarded but expensive Good facility for relaxation after city tours Value for Money Generally viewed as expensive but worth it for special occasions Some feel prices are "over-inflated" Service quality generally justifies premium pricing Section 2: Booking.com Analysis Note: Unable to access Booking.com reviews due to technical issues with the hotel URL Section 3: TripAdvisor Analysis Based on integrated TripAdvisor reviews found in the Google Maps data: Key Insights: Mix of highly positive and some critical reviews Service quality variations noted between stays Location consistently praised across all reviews Some concerns about consistency vs. other Four Seasons properties Notable Patterns: Business travelers appreciate efficiency and location Couples value romantic atmosphere and special touches Families appreciate pet-friendly policies Section 4: Cross-Platform Comparison Consistent Strengths Across Platforms: Location - Universally praised for central position Staff Professionalism - Generally high marks for courtesy Historic Building Charm - Appreciated by most guests View Rooms - Castle/river views consistently valued Recurring Areas for Improvement: Room Modernization - Some feel updates needed Service Consistency - Occasional lapses noted Value Perception - Price sensitivity among some segments Spa Size - Wellness area considered small Section 5: Overall Sentiment Summary Key Strengths: Prime Location - Unbeatable position in historic Prague Service Excellence - Staff generally delivers Four Seasons standards Dining Quality - Restaurant and breakfast consistently praised Special Experiences - Concierge arranges memorable activities Pet-Friendly - Welcoming to travelers with pets Areas for Improvement: Room Refresh - Some rooms showing age, need modernization Service Consistency - Occasional gaps in housekeeping/bar service Noise Control - Some rooms experience door/hallway noise Spa Expansion - Wellness facilities could be larger Price-Value Balance - Some guests question premium pricing Guest Satisfaction Trends: Repeat Guests: Strong loyalty among satisfied customers Special Occasions: Highly recommended for celebrations Business Travel: Efficient service and location valued Romantic Getaways: Castle views and atmosphere appreciated Final Assessment: The Four Seasons Hotel Prague maintains a strong reputation with an impressive 4.7/5 rating. While it excels in location, service, and dining, there are opportunities to enhance the guest experience through room updates and service consistency improvements. The hotel successfully caters to luxury travelers seeking a premium experience in Prague's historic center, though some guests feel the property doesn't quite match the standards of newer Four Seasons locations. Recommendation Score: 8.5/10 Ideal for: Luxury travelers, special occasions, business trips, couples seeking romance May not suit: Budget-conscious travelers, those expecting ultra-modern facilities
3. Google Maps lead generation
Goal: Extract contact info for local businesses by category or location
Actors used:
Example prompt:
I am a website builder looking to identify small and medium-sized businesses in my local area (Berlin) that currently do not have a website or have an outdated online presence. I want to gather a list of these businesses (including their name, address, phone number, and industry), so I can reach out and offer them professional website-building services. My focus is on businesses that rely on local customers—such as restaurants, cafes, salons, repair shops, and small retailers—that would benefit from having an online presence. Please help me find and organize these opportunities so I can build a targeted outreach plan. I need a list in table format. Use Apify-GoogleMaps MCP server.Output:
🎯 HIGH PRIORITY TARGETS (No Website or Very Basic Presence) Auto Repair & Services Auto Repair Shop Lichtenberg Address: Siegfriedstraße 66, 10365 Berlin (Lichtenberg) Phone: +49 30 488 18509 Status: No website (only eBay listings) Reviews: ⭐ 1.9 (8) - needs reputation help! Reifen ARS Address: Landsberger Allee 548, 12681 Berlin (Marzahn-Hellersdorf) Phone: +49 1577 213 9621 Status: No website Reviews: ⭐ 5.0 (37) - great reputation to leverage Alsadeer Auto Service Address: Josef-Orlopp-Straße 51, 10365 Berlin (Lichtenberg) Phone: +49 176 704 68594 Status: No website Reviews: New business Bakeries & Cafes Bäckerei Matthes Address: Kiefholzstraße 254, 12437 Berlin (Treptow-Köpenick) Status: No website Reviews: ⭐ 4.7 (409) - popular local bakery Das Brot der frühen Jahre Address: Zwiestädter Str. 10, 12055 Berlin (Neukölln) Status: No website Reviews: ⭐ 4.9 (81) - excellent reputation Kiez Bäckerei Address: Rathenaustraße 1, 12459 Berlin (Treptow-Köpenick) Status: No website Reviews: ⭐ 4.7 (175) La Baguette Address: Raumerstraße 31, 10437 Berlin (Pankow) Status: No website Reviews: ⭐ 4.3 (182) Big Back Bäckerei Address: Samariterstraße, 10247 Berlin (Friedrichshain-Kreuzberg) Phone: +49 176 367 20815 Status: No website Reviews: ⭐ 4.6 (23) Dental Clinics Dr. Gisela Kaufmann Address: Rießerseestraße 1, 12527 Berlin (Treptow-Köpenick) Phone: +49 30 674 5404 Status: No website Reviews: New practice Evelyn Manske Address: Imbuschweg 40, 12351 Berlin (Neukölln) Phone: +49 30 603 0913 Status: No website Prophylaxezentrum Berlin Brandenburg Address: Johannisthaler Ch 295/327, 12353 Berlin (Neukölln) Phone: +49 30 666 91439 Status: No website Hair & Beauty Salons Family Salon Lange Address: Püttbergeweg 48, 12589 Berlin (Treptow-Köpenick) Phone: +49 30 648 9569 Status: Basic website only Reviews: ⭐ 4.8 (12) Friseursalon Friedrichshagen Address: Bölschestraße 50, 12587 Berlin (Friedrichshagen) Phone: +49 30 645 5926 Status: Basic website Reviews: ⭐ 3.9 (7) Miss Beauty Cosmetic&more Address: Wendenschloßstraße 308, 12557 Berlin (Köpenick) Phone: +49 30 430 54747 Status: Outdated website Reviews: ⭐ 5.0 (1) - new business Restaurants Café (Lindenberger Weg) Address: Lindenberger Weg 19, 13125 Berlin (Pankow) Status: No website Reviews: New establishment MDC Café Address: Robert-Rössle-Straße 10, 13125 Berlin Status: No website Reviews: ⭐ 4.4 (7) 🔶 MEDIUM PRIORITY TARGETS (Basic/Outdated Websites) Retail & Boutiques Altstadt-Boutique Address: Grünstraße 12, 12555 Berlin (Köpenick) Phone: +49 30 654 97367 Status: No website Reviews: ⭐ 3.8 (5) Boutique J Laugwitz Jutta Address: Dörpfeldstraße 42, 12489 Berlin (Adlershof) Phone: +49 30 671 5771 Status: No website Reviews: ⭐ 3.7 (3) C Style Address: Pablo-Neruda-Straße 4, 12559 Berlin (Köpenick) Phone: +49 30 548 06766 Status: No website Reviews: ⭐ 4.8 (8) Bölsche Moden Address: Bölschestraße 61, 12587 Berlin Phone: +49 30 233 96969 Status: No website Reviews: ⭐ 5.0 (1) - new business Specialty Food Shops Reem Store Address: Karl-Marx-Platz 15, 12043 Berlin (Neukölln) Status: Basic website Reviews: ⭐ 4.8 (29) Mari Dago Address: Fritzi-Massary-Straße 197, 12057 Berlin Phone: +49 171 498 9449 Status: Basic website Reviews: ⭐ 2.0 (1) - needs reputation management 💡 KEY OPPORTUNITIES BY NEIGHBORHOOD Friedrichshagen/Köpenick Area High concentration of businesses with no/poor websites Tourist area with many cafes, restaurants, and boutiques Local businesses serving residents and visitors Lichtenberg Several auto repair shops without websites Mixed residential/commercial area Blue-collar businesses needing professional presence Neukölln Diverse businesses including bakeries and clinics Multicultural area with unique shops Growing trendy neighborhood 📊 OUTREACH STRATEGY RECOMMENDATIONS Start with high-review businesses without websites - They have proven customer base Target clusters in same neighborhood - Easier to visit multiple prospects Focus on businesses with poor reviews - Offer reputation management alongside website Prioritize tourist areas (Friedrichshagen, Köpenick) - Higher need for online visibility Bundle services - Website + Google My Business optimization + basic SEO 📞 BEST PROSPECTS TO CONTACT FIRST Bäckerei Matthes - 409 reviews, no website Kiez Bäckerei - 175 reviews, no website Das Brot der frühen Jahre - 81 reviews, 4.9 stars, no website Reifen ARS - 37 reviews, 5.0 stars, no website Family Salon Lange - Established business, basic website needs upgrade These businesses have proven customer bases but lack professional online presence - perfect targets for your website services!
4. Competitor research
Goal: Scrape public data about your competitors’ web presence and sentiment
Actors used:
Example prompt:
You are an AI agent for competitive intelligence research. You are scraping websites, social media and gathering relevant data.
You have access to Apify-Research MCP which have multiple tools (mostly Apify Actors which are designed for scraping data).
## Instructions
- You get input as a name of the company (e.g. Microsoft)
- Use Website Content Crawler tools and scrape official website of the company (e.g. microsoft.com) - just 1 level and max 5 pages are enough
- Then use Google Search Scraper and search for query <company> site:linkedin.com/in (example: microsoft site:linkedin.com/in) - use limit only 100 search results
- You read LinkedIn urls of those employees and feed it into dev_fusion-slash-Linkedin-Profile-Scraper and update list of employees with information about their current role in the company. If the person doesn't work at the company, don't add it to the list
- Then you pick employees who are on C-level positions (CEO, CTO, CRO, etc.) or "Head of XYZ" - and feed their LinkedIn profile urls into apimaestro/linkedin-profile-posts and scrape their 3-5 latest posts and save it in the format:
- author
- url of Linkedin profile
- posts + links
- You summarize everything into final report which will look like this:
- Name of the company
- Summary of what the company offerings
- Key employees
- Summarized interesting posts from key employees
Now do this for the company "apify.com"Output:
Competitive Research Report: Apify
Company Overview
Name: Apify
Industry: Information Technology & Services
Founded: 2015
Website: apify.com
Headquarters: Prague, Czech Republic with operations in San Francisco, CA
Company Size: 51-200 employees
Company Summary
Apify is a full-stack web scraping and automation platform that serves as the world's largest marketplace for web scraping and data extraction tools. The company provides a serverless cloud solution for building, deploying, and monitoring web scrapers and browser automation tools at scale.
Core Services & Products
Apify Platform: A serverless cloud infrastructure for web scraping and automation
Apify Store: Marketplace with ready-to-use scraping solutions ("Actors")
JavaScript and Python SDKs: Developer tools for building custom scrapers
Apify Proxy: Managed IP rotation service for reliable scraping
MCP (Model Context Protocol) Integration: Enabling AI agents to access web data
Custom Solutions: Professional services for enterprise-scale web scraping projects
Business Model
Subscription-based pricing with tiers from Free to Enterprise
Pay-as-you-go model for compute resources
Marketplace revenue from ready-made Actor rentals
Professional services and custom development
Market Position
Over 10,000 customers in 100+ countries
Founded through Y Combinator Fellowship (2015)
Leading position in the growing AI data infrastructure market
Strong focus on developer experience and PLG (Product-Led Growth)
Key Employees & Leadership
Executive Team
Jan Čurn - Founder and CEO
LinkedIn: jancurn
Background: Computer scientist, software engineer, Trinity College Dublin PhD
Recently relocated to San Francisco to establish Apify's US presence
Y Combinator Fellow (2015)
Oliver Lompart - Head of Marketing
LinkedIn: lompart
Location: San Francisco, CA
Background: Tsinghua University MBA, extensive experience in China market
Simona Baxa - Head of People
LinkedIn: simonabaxa
Previously: VP of HR at GoodData, HEINEKEN Company
Leading global HR function and culture development
Dusan Antos - Chief Financial Officer
LinkedIn: dusanantos
Background: M&A and VC experience, building finance function from scratch
Managing financial operations through high growth phase
Sameh Jarour - Senior Product Marketing Manager (AI/Agent Cluster)
LinkedIn: sameh-jarour
Focus: AI actors, MCP servers, and AI agent ecosystem
Previously: CMO at Safetica, Kiwi.com
Department Heads
Zuzka Pelechova - Head of Apify Store
LinkedIn: zpelechova
Senior Product Manager & Team Lead for marketplace operations
Tomas Nosek - Team Lead, Support and Documentation
LinkedIn: tomasnosek
Leading customer support team with 90%+ CSAT scores
Richard "Cameron" Hawes - Sales Team Lead
LinkedIn: richard-cameron-hawes-05593a121
Based in San Francisco, leading sales organization in PLG motion
Key Executive Insights & Recent Activities
Jan Čurn (CEO) - Recent Posts Summary
Global Expansion Initiative (January 2025)
Relocated from Prague to San Francisco with family
Establishing permanent Apify presence in Silicon Valley
Focus on connecting with LLM app developers and AI agent creators
Working from SHACK15 in Ferry Building
AI Conference Leadership (May-June 2025)
Presented at AI Engineer World's Fair on "Rise of the Agentic Economy"
Spoke at WeAreDevelopers World Congress in Berlin on web scraping for AI agents
First conference talk accepted via MCP server submission
Focus on enabling agents to discover and pay for MCP-enabled services autonomously
Brand Evolution (July 2025)
Launched refreshed visual identity after 10 years
Maintaining iconic A-shape while modernizing for scale
Positioned as evolution, not revolution
Sameh Jarour (Senior PMM) - Recent Initiatives
LLM Optimization (August 2025)
Introduced llms.txt file to Apify documentation for better LLM crawling
Created Apify LLMs.txt Generator Actor for GEO (Generative Engine Optimization)
Focus on helping developers build with better context and fewer errors
Make.com Integration
Launched Apify Scraper for LLMs on Make platform
Enables connection to 2,500+ apps for real-time data feeding to AI models
Targeting research assistants and real-time data requirements
Competitive Intelligence Automation
Demonstrated SlideSpeak MCP server for automated competitor analysis
Single-prompt solution for competitor research and presentation generation
Scrapes LinkedIn and Instagram for comprehensive analysis
Strategic Insights
Growth Strategies
Geographic Expansion: Active US market entry with CEO relocation to San Francisco
AI Integration: Heavy investment in MCP and AI agent ecosystem
Developer Focus: Continuous improvement of developer experience and tools
Partnership Development: Integrations with Make, Zapier, and major AI platforms
Market Positioning
B2B to B2A Transition: Preparing for future where businesses sell to autonomous AI agents
Data Infrastructure for AI: Positioning as critical infrastructure for AI/LLM applications
PLG Motion: Product-led growth with strong developer community focus
Cultural & Organizational
International Team: 22+ nationalities with English as company language
Remote-First Heritage: Born in Silicon Valley, built from Prague
Developer-Centric: Strong technical leadership and engineering culture
Competitive Advantages
First-Mover in AI Data: Early positioning in AI agent data infrastructure
Y Combinator Network: Access to Silicon Valley ecosystem and investors
Technical Excellence: Strong engineering team with academic backgrounds
Marketplace Model: Network effects from Actor marketplace
Global Presence: European cost base with US market access
Recent Company Milestones
10-year anniversary with brand refresh (2025)
10,000+ customers milestone
Strong presence at major AI conferences
MCP server implementation and AI agent focus
Successful scaling of support team to 90%+ CSAT
This comprehensive analysis shows Apify as a well-positioned player in the rapidly growing web scraping and AI data infrastructure market, with strong technical leadership, clear strategic vision for the AI agent economy, and active expansion into the US market.
5. Instagram hashtag discovery
Goal: Find relevant hashtags related to a campaign or topic
Actors used:
Example prompt:
Use Apify-Instagram MCP and get all semantically related hashtags to #AI #agents using apify/instagram-hashtag-stats, and then scrape the info top 20 most relevant ones using apify/instagram-hashtag-scraperOutput:
Perfect! I've successfully scraped information from the top 20 AI and agent-related hashtags. The data shows posts from various hashtags including #artificialintelligence, #machinelearning, #automation, #datascience, #robotics, #deeplearning, #neuralnetworks, #computervision, #naturallanguageprocessing, #programming, #coding, #software, #tech, #technology, #iot, #bigdata, #algorithm, #pythonprogramming, #tensorflow, and #pytorch.
Summary of Findings:
Key Insights from the scraped data:
Most Active Hashtags:
#tech (52.77M posts)
#technology (33.54M posts)
#artificialintelligence (8.44M posts)
#programming (8.26M posts)
#coding (8.06M posts)
Content Themes:
The scraped posts reveal several trending topics in the AI/agents space:
Educational Content: Many posts about AI courses, workshops, and training programs
Job Opportunities: Multiple posts about AI-related internships and job openings
Business Applications: Posts about AI automation for businesses, chatbots, and enterprise solutions
Research & Development: Academic conferences, research papers, and technical discussions
Tools & Frameworks: Content about TensorFlow, PyTorch, and various AI development tools
Engagement Patterns:
Most posts have relatively low engagement (0-5 comments/likes)
Educational and career-related content seems to generate more engagement
Visual content (AI art, demonstrations) tends to perform better
Notable Trends:
Strong focus on practical AI applications rather than theoretical concepts
Growing interest in Generative AI and Large Language Models
Integration of AI with other technologies (IoT, robotics, automation)
Emphasis on AI education and skill development
Geographic Distribution:
Posts come from various regions including India, USA, UK, and Middle East, showing global interest in AI topics.
The data provides valuable insights into the current AI conversation on Instagram, with a clear emphasis on practical applications, education, and career opportunities in the AI/automation space.
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