# Apify - Marketing Research Report

Generated on: April 10, 2026
**Industry:** Developer Tools
**Website:** https://apify.com

## The Takeaway

Apify's moat is its marketplace network effect — every scraper built locks in developers while expanding the platform's coverage, making it harder for competitors to match breadth.

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# Company Research

## Company Summary

Apify is a web scraping and data extraction platform that provides automated tools, infrastructure, and APIs for businesses to collect structured data from websites at scale [1]

**Founded:** Founded by Jan Curn and Jakub Balada [3]

**Founders:** Jan Curn and Jakub Balada [3]

**Employees:** 116 total employees including 7 engineers focused on product development and 2 sales reps carrying quotas [2]

**Headquarters:** Not publicly disclosed [1]

**Funding:** Private company with funding rounds tracked by investors, specific valuation details available through PitchBook [1]

**Mission:** To make web data extraction accessible and scalable for businesses of all sizes through automated infrastructure and ready-to-use tools [6]

**Strengths:** The company's strengths rely on the combination of comprehensive automation infrastructure, extensive marketplace of ready-to-use tools, and enterprise-grade scalability. [17]

• **Largest Actor Marketplace**: Apify Store offers the most extensive selection of ready-to-integrate web scraping tools and AI agents, enabling users to find solutions for virtually any data extraction need [17]
• **Enterprise Infrastructure**: Handles complex scaling, proxy management, and infrastructure automatically so customers focus on data rather than technical implementation [13]
• **Proven Customer Base**: Trusted by major enterprises including Siemens, Intercom, Groupon, and Microsoft, plus over 10,000+ customers worldwide [13]
• **Developer-First Experience**: Provides the best developer experience in the market with superior customer support and comprehensive tooling [18]

## Business Model Analysis

### 🚨 Problem

****Businesses struggle with manual, time-consuming web data extraction that doesn't scale** [16]**

• Manual research and data collection consumes hours of employee time that could be spent on analysis and strategy [16]
• Traditional scraping solutions fail when websites use complex JavaScript, dynamic content, or anti-bot measures [12]
• Building and maintaining web scraping infrastructure requires significant technical expertise and ongoing maintenance [13]
• Businesses need real-time data monitoring across multiple sources but lack the technical resources to build reliable systems [16]
• Scaling data collection operations becomes prohibitively expensive and complex without proper infrastructure [6]

### 💡 Solution

****Apify provides a complete web scraping platform with automated infrastructure, ready-to-use tools, and scalable APIs** [6]**

• Cloud-based platform handles all infrastructure, proxies, and scaling automatically so users focus on data extraction rather than technical implementation [13]
• Apify Store marketplace offers hundreds of pre-built Actors (scrapers) for popular websites and use cases, eliminating custom development time [17]
• Browser automation tools support Playwright, Puppeteer, and Selenium for handling complex JavaScript-heavy websites and dynamic content [10]
• RESTful APIs and SDKs enable easy integration with existing business systems and workflows [6]
• Built-in proxy management, session handling, and anti-detection measures ensure reliable data extraction at scale [6]

### ⭐ Unique Value Proposition

****Only platform combining the largest ready-to-use scraper marketplace with enterprise-grade infrastructure and AI agent capabilities** [17]**

• Apify Store contains the industry's most extensive collection of pre-built scrapers, reducing development time from weeks to minutes [17]
• Unique Actor architecture allows both no-code users and developers to leverage the same powerful infrastructure and tools [6]
• Integrated AI agent capabilities enable advanced data processing and automation beyond simple extraction [17]
• Single platform handles everything from simple scraping to complex browser automation and data pipeline management [13]

### 👥 Customer Segments

****Serves enterprises, developers, and businesses needing automated web data extraction across multiple industries** [13]**

• Large enterprises like Siemens, Intercom, Groupon, and Microsoft using data for competitive intelligence and market research [13]
• E-commerce and retail companies monitoring competitor pricing, inventory, and market trends across multiple marketplaces [14]
• Market researchers and data analysts requiring comprehensive product data and consumer insights [14]
• Developers and technical teams building custom scraping solutions and data pipelines [15]
• Small to medium businesses needing affordable access to web data without hiring dedicated technical teams [9]

### 🏢 Existing Alternatives

****Competes with traditional scraping frameworks, custom development, and other cloud scraping platforms** [11]**

• Scrapy: Open-source Python framework but requires significant technical expertise and can't handle dynamic content without plugins [12]
• Selenium: Browser automation tool but lacks built-in scaling, proxy management, and cloud infrastructure [11]
• ScraperAPI: Competitor offering similar proxy and scraping services with hobby plans starting at $49/month [9]
• Firecrawl: Alternative platform with free tier and standard plans at $83/month, but smaller marketplace [9]
• Custom in-house solutions: Many businesses still build scraping tools internally but face ongoing maintenance and scaling challenges [16]

### 📊 Key Metrics

****Platform serves over 10,000+ customers worldwide with $13.3M revenue achieved by 116-person team** [2] [13]**

• Customer base: Over 10,000+ customers globally including major enterprises [13]
• Annual revenue: $13.3M achieved with 116 total employees in 2024 [2]
• Team composition: 7 engineers focused on product development, 2 sales reps carrying quotas [2]
• Enterprise clients: Trusted by Fortune 500 companies including Siemens, Intercom, Groupon, and Microsoft [13]
• Platform usage: Measured in compute units, data transfer, proxy usage, and storage consumption [6]

### 🎯 High-Level Product Concepts

****Core platform built around Actors (automated scrapers), cloud infrastructure, and marketplace ecosystem** [6]**

• Actors: Containerized scraping tools that can be deployed, scheduled, and scaled automatically on Apify's cloud infrastructure [6]
• Apify Store: Marketplace with hundreds of ready-to-use Actors for popular websites and scraping tasks [17]
• Proxy services: Global proxy network with residential and datacenter IPs for reliable access to geo-restricted content [6]
• Browser automation: Support for Playwright, Puppeteer, and Selenium frameworks with cloud-based execution [10]
• Data storage and APIs: Structured data storage with RESTful APIs for easy integration with business systems [6]

### 📢 Channels

****Growth driven by developer community, enterprise sales, content marketing, and marketplace discoverability** [15]**

• Developer community engagement through technical blog content, tutorials, and open-source contributions [11]
• Direct enterprise sales with dedicated account management for large customers like Siemens and Microsoft [13]
• Apify Store marketplace acting as organic discovery channel for users finding specific scraping solutions [17]
• Content marketing through educational resources about web scraping, browser automation, and data extraction best practices [10]
• Platform integrations and partnerships with AI companies and data analytics tools [17]

### 🚀 Early Adopters

****Technical developers and Python programmers seeking scalable alternatives to open-source scraping frameworks** [15]**

• Python developers and data scientists who outgrew manual scraping or frameworks like Scrapy [12]
• Technical entrepreneurs building passive income through automated Actor development and marketplace sales [15]
• E-commerce businesses needing competitive pricing intelligence and inventory monitoring [14]
• Startups and agencies requiring reliable web data but lacking infrastructure expertise [9]

### 💰 Fees

****Usage-based pricing starting with $5 monthly free credits, scaling from $29 Starter to $99 Scale plans** [8] [9]**

• Free tier: $5 in monthly credits for new users to test platform capabilities [8]
• Starter plan: $29/month for small to medium usage with additional credits for compute, proxies, and data transfer [9]
• Scale plan: $99/month for higher volume users with increased limits and priority support [9]
• Enterprise: Custom pricing for large organizations with dedicated support and SLAs [17]
• Usage-based charges: Platform services including Actors, proxies, data transfer, and storage billed based on consumption [6]

### 💵 Revenue

****Subscription and usage-based model generating $13.3M revenue through platform services and marketplace commissions** [2]**

• Monthly recurring subscriptions: Starter ($29) and Scale ($99) plans provide predictable revenue base [9]
• Usage-based billing: Additional revenue from compute units, proxy usage, data transfer, and storage overage [6]
• Marketplace commissions: Revenue share from Actor sales and usage in Apify Store [17]
• Enterprise contracts: Custom pricing for large customers like Siemens, Intercom, and Microsoft [13]
• Professional services: Implementation support and custom development for enterprise clients [17]

### 📅 History

****Founded by Jan Curn and Jakub Balada, evolved from scraping framework to comprehensive data platform** [3]**

• Early stage: Founded by Jan Curn and Jakub Balada to solve web scraping infrastructure challenges [3]
• Platform development: Built cloud-based Actor system to containerize and scale scraping operations [6]
• Marketplace launch: Introduced Apify Store to create ecosystem of ready-to-use scraping tools [17]
• Enterprise adoption: Gained trust of Fortune 500 companies including Siemens, Intercom, Groupon, and Microsoft [13]
• AI integration: Added AI agent capabilities and enhanced platform for generative AI use cases [17]
• Scale achievement: Reached $13.3M revenue with 116-person team and 10,000+ customers by 2024 [2] [13]

### 🤝 Recent Big Deals

****Secured enterprise partnerships with major technology companies and AI platform integrations** [17]**

• Microsoft partnership: Enterprise adoption with Microsoft as confirmed customer using Apify's data platform [13]
• AI integration partnerships: Collaborating with AI companies to provide web data for training and RAG applications [17]
• Siemens enterprise deal: Major industrial conglomerate using Apify for large-scale data extraction projects [13]
• Intercom collaboration: Customer support platform leveraging Apify for external data integration and knowledge base enhancement [13]

### ℹ️ Other Important Factors

****Platform positioned at intersection of web scraping, AI data collection, and enterprise automation trends** [17]**

• AI data demand: Growing need for high-quality web data to train and enhance AI models creates new market opportunity [17]
• Regulatory considerations: Platform helps businesses collect public web data in compliance with website terms and legal requirements [6]
• Technical moat: Deep expertise in anti-detection, proxy management, and browser automation creates barriers for competitors [10]
• Community ecosystem: Strong developer community contributing to Actor marketplace and platform growth [15]

---

# ICP Analysis

## Ideal Customer Profile

Apify's ideal customer is a **mid-to-large technology or e-commerce company** with **dedicated data teams** and **technical infrastructure** for integrating web-scraped data into business operations. They have **established data workflows** requiring **real-time competitive intelligence** and **market monitoring** across multiple websites.

These customers value **developer experience** and **reliable infrastructure** over cost alone, with **budget authority** to invest in enterprise-grade solutions. They typically start with **specific use cases** like competitor pricing or market research, then expand to **multiple departments** and **AI training data** applications as they recognize platform value.

## ICP Identification Framework

| No. | Question | Answer | References |
|-----|----------|--------|------------|
| 1 | Which of our current customers makes the most out of our products and services? Who uses it the most? Who are your best users? | Best customers are **enterprise technology companies** like Siemens, Intercom, Groupon, and Microsoft who need **large-scale data extraction** for competitive intelligence and market research. They typically have **dedicated data teams** and **technical infrastructure** to integrate scraped data into business operations. **Python developers and data scientists** creating **passive income streams** through Actor marketplace development also maximize platform value. | [13], [17], [15] |
| 2 | What traits do those great customers have in common? | Common traits include **technical expertise** with Python/JavaScript and **data-driven decision making** cultures. They have **established data workflows** requiring **real-time market monitoring** and **competitive intelligence** across multiple websites. These customers value **developer experience** and **reliable infrastructure** over cost alone, often scaling from small teams to **enterprise-level usage**. | [15], [16], [18] |
| 3 | Why do some people decide not to buy or stop using our product? | Primary churn occurs when customers underestimate **technical complexity** of web scraping and expect **no-code solutions** for complex JavaScript-heavy sites. Some users switch to cheaper alternatives like **ScraperAPI ($49/month)** or **Firecrawl ($83/month)** for simpler use cases. **Small businesses** often churn due to **unpredictable usage-based billing** and **lack of technical expertise** to maximize platform value. | [12], [9], [8] |
| 4 | Who is easiest to sell more to, and why? | Easiest expansion comes from **existing Python developers** upgrading from **free tier ($5 credits)** to **Starter ($29)** or **Scale ($99)** plans as data needs grow. **Enterprise customers** like Microsoft and Siemens readily expand usage for **AI training data** and **additional use cases** across departments. **E-commerce businesses** monitoring competitors naturally scale to **multiple marketplace tracking** and **real-time pricing intelligence**. | [8], [9], [17], [14] |
| 5 | What do our competitors' best customers have in common? | Competitor customers often prefer **open-source frameworks** like Scrapy for **cost control** but struggle with **dynamic content limitations** and **infrastructure maintenance**. **ScraperAPI users** prioritize **simple proxy services** over comprehensive automation capabilities. Opportunity exists with **technical teams** frustrated by **manual scaling** and **unreliable data extraction** who need **enterprise-grade infrastructure** and **marketplace ecosystem**. | [12], [9], [11] |

## Target Segmentation

### 🥇 Primary Enterprise Technology Companies

**Industry:** Technology, Software, SaaS

**Company Size:** 500+ employees, $50M+ revenue

**Key Characteristics:** • **Large-scale data needs**: Require competitive intelligence, market research, and AI training data across multiple sources
• **Technical infrastructure**: Have dedicated data teams and existing APIs for integrating external data into business operations
• **Budget authority**: Decision makers with enterprise budgets who prioritize reliability and scalability over cost

**Rationale:** Highest revenue potential with proven enterprise customers like Microsoft, Siemens, Intercom already demonstrating strong product-market fit and expansion opportunities.

### 🥈 Secondary E-commerce & Retail Businesses

**Industry:** E-commerce, Retail, Consumer Goods

**Company Size:** 50-500 employees, $10M-$50M revenue

**Key Characteristics:** • **Competitive monitoring**: Need real-time pricing intelligence and inventory tracking across multiple marketplaces
• **Data-driven operations**: Use market data for pricing strategies, product sourcing, and competitive positioning
• **Growth-stage scaling**: Expanding beyond manual research to automated data collection as business scales

**Rationale:** Strong natural product fit with clear ROI from competitive intelligence, but smaller deal sizes than enterprise segment.

### 🥉 Tertiary Technical Developers & Data Scientists

**Industry:** Software Development, Data Analytics, Consulting

**Company Size:** Individuals to 50 employees

**Key Characteristics:** • **Technical expertise**: Python/JavaScript developers comfortable with APIs and technical implementation
• **Passive income focus**: Building and selling Actors in marketplace for recurring revenue streams
• **Platform advocacy**: Early adopters who create content, tutorials, and community engagement driving organic growth

**Rationale:** Strategic value for ecosystem growth and community building, though individually smaller revenue contributors than enterprise segments.

## Target Personas

### Persona 1: Sarah, The Enterprise Data Engineering Manager

*Segment: 🥇 Primary*

**Demographics:**

- Name: **Sarah, The Enterprise Data Engineering Manager**
- Age: **👤 Age**: 32-38
- Job Title: **💼 Job Title/Role**: Senior Data Engineering Manager
- Industry: **🏢 Industry**: Enterprise Technology/SaaS
- Company Size: **👥 Company Size**: 1000+ employees
- Education: **🎓 Education Degree**: Master's in Computer Science or Data Engineering
- Location: **📍 Location**: San Francisco Bay Area or major tech hub
- Years of Experience: **⏱️ Years of Experience**: 8-12 years

**💭 Motivation:**

Needs **reliable data infrastructure** to support company's competitive intelligence and AI initiatives. Current **manual data collection** processes don't scale with growing enterprise demands. Has **executive mandate** to modernize data operations with enterprise-grade solutions.

**🎯 Goals:**

- Implement scalable data pipeline supporting 10+ business units
- Reduce data collection costs by 40% while improving reliability
- Enable real-time competitive intelligence across global markets

**😤 Pain Points:**

- Managing multiple fragmented scraping tools and infrastructure
- Constantly dealing with website blocking and anti-bot measures
- Pressure to deliver enterprise-grade reliability with limited resources

### Persona 2: Marcus, The E-commerce Growth Director

*Segment: 🥈 Secondary*

**Demographics:**

- Name: **Marcus, The E-commerce Growth Director**
- Age: **👤 Age**: 28-35
- Job Title: **💼 Job Title/Role**: Director of Growth/Revenue Operations
- Industry: **🏢 Industry**: E-commerce/Digital Retail
- Company Size: **👥 Company Size**: 100-300 employees
- Education: **🎓 Education Degree**: Bachelor's in Business or Marketing
- Location: **📍 Location**: Austin, Seattle, or Denver
- Years of Experience: **⏱️ Years of Experience**: 5-8 years

**💭 Motivation:**

Drives **revenue growth** through competitive pricing and market intelligence across multiple marketplaces. Current **manual monitoring** limits reaction speed to competitor changes. Needs **automated solutions** to maintain competitive advantage in fast-moving markets.

**🎯 Goals:**

- Monitor competitor pricing across 50+ products daily
- Increase gross margins by 15% through dynamic pricing strategies
- Expand to 3 new marketplaces with comprehensive market data

**😤 Pain Points:**

- Missing competitor price changes due to manual monitoring delays
- Spending 20+ hours weekly on manual market research
- Inability to scale data collection to new product categories

### Persona 3: Alex, The Freelance Python Developer

*Segment: 🥉 Tertiary*

**Demographics:**

- Name: **Alex, The Freelance Python Developer**
- Age: **👤 Age**: 26-32
- Job Title: **💼 Job Title/Role**: Freelance Python Developer/Data Consultant
- Industry: **🏢 Industry**: Software Development/Consulting
- Company Size: **👥 Company Size**: Solo freelancer or small agency (2-5 people)
- Education: **🎓 Education Degree**: Bachelor's in Computer Science
- Location: **📍 Location**: Remote-first, various global locations
- Years of Experience: **⏱️ Years of Experience**: 4-7 years

**💭 Motivation:**

Building **passive income streams** through Actor development and marketplace sales while serving client data needs. Outgrew **basic Scrapy frameworks** and needs **enterprise infrastructure** without building it. Seeks **reliable platform** for scaling freelance business.

**🎯 Goals:**

- Generate $2000+ monthly passive income from Actor marketplace
- Scale client data projects without infrastructure management overhead
- Build reputation as go-to web scraping expert in developer community

**😤 Pain Points:**

- Spending too much time maintaining scraping infrastructure vs development
- Client projects failing due to website blocking and reliability issues
- Difficulty predicting costs with usage-based pricing models

---

# Positioning & Messaging

## Positioning Statement

**Apify** is a **web scraping and automation platform** for **enterprise technology companies and e-commerce businesses** that **eliminates manual data collection overhead and provides instant access to reliable market intelligence** with/because of **the industry's largest marketplace of ready-to-deploy scrapers and enterprise-grade infrastructure trusted by Microsoft, Siemens, and 10,000+ customers worldwide**

## Positioning Framework

### 1. Needs and Pain Points

What are their customer's needs and pain points around the problem the product is trying to solve?

• Manual data collection consumes hours of employee time that could be spent on analysis and strategy [16]
• Traditional scraping solutions fail when websites use complex JavaScript, dynamic content, or anti-bot measures [12]
• Building and maintaining web scraping infrastructure requires significant technical expertise and ongoing maintenance [13]
• Businesses need real-time data monitoring across multiple sources but lack technical resources to build reliable systems [16]
• Scaling data collection operations becomes prohibitively expensive and complex without proper infrastructure [6]

### 2. Product Features

What product features will address these needs and solve these pain points?

• Cloud-based platform handles all infrastructure, proxies, and scaling automatically so users focus on data extraction [13]
• Apify Store marketplace offers hundreds of pre-built Actors for popular websites and use cases, eliminating custom development time [17]
• Browser automation tools support Playwright, Puppeteer, and Selenium for handling complex JavaScript-heavy websites [10]
• RESTful APIs and SDKs enable easy integration with existing business systems and workflows [6]
• Built-in proxy management, session handling, and anti-detection measures ensure reliable data extraction at scale [6]

### 3. Key Benefits

What are the key benefits (rational and emotional) of those product features?

• Eliminates weeks of custom development time by using ready-to-deploy marketplace Actors [17]
• Provides enterprise-grade reliability and scalability without hiring dedicated infrastructure teams [13]
• Enables real-time competitive intelligence and market monitoring across multiple data sources [16]
• Reduces operational costs by automating manual research processes that consume employee hours [16]
• Empowers data-driven decision making with reliable, structured data extraction at scale [14]

### 4. Benefit Pillars

Which of those benefits would be categorized as benefit pillars?

🚀 Instant Deployment, 🛡️ Enterprise-Grade Reliability, 🎯 Market Intelligence Advantage

### 5. Emotional Benefits

What emotional benefits would the user have when they engage with or use the product?

Core Emotional Promise:
Confidence that your data operations will scale reliably without constant technical firefighting [18]

Supporting Emotions:
• Peace of mind from enterprise-grade infrastructure handling complex scaling automatically [13]
• Professional pride in delivering reliable data solutions that enable strategic business decisions [17]
• Freedom from technical maintenance overhead to focus on high-value data analysis and strategy [16]

### 6. Positioning Statement

What are some positioning statements that could reflect its key benefits, product features, and value?

Apify is a web scraping and automation platform for enterprise technology companies and e-commerce businesses that eliminates manual data collection overhead and provides instant access to reliable market intelligence with the industry's largest marketplace of ready-to-deploy scrapers and enterprise-grade infrastructure trusted by Microsoft, Siemens, and 10,000+ customers worldwide

### 7. Competitive Differentiation

How do they differentiate from other competitors?

Only platform combining the largest ready-to-use scraper marketplace with enterprise-grade infrastructure and AI agent capabilities [17]

vs. Scrapy: Scrapy requires significant technical expertise and can't handle dynamic content without plugins, while Apify provides cloud infrastructure and marketplace [12]
vs. ScraperAPI: ScraperAPI offers basic proxy services at $49/month but lacks comprehensive automation and marketplace ecosystem [9]
vs. Selenium: Selenium requires manual infrastructure management and scaling, while Apify handles everything automatically [11]

Key Differentiators:
• Largest Actor marketplace with hundreds of pre-built scrapers reducing development time from weeks to minutes [17]
• Enterprise customers including Microsoft, Siemens, Intercom, and Groupon demonstrating proven scalability [13]
• Integrated AI agent capabilities for advanced data processing beyond simple extraction [17]

## Messaging Guide

| # | Type | Message | Priority |
|---|------|---------|----------|
| 1 | 🎯 Top-Line Message | Transform hours of manual research into automated intelligence with the web scraping platform trusted by Microsoft, Siemens, and 10,000+ businesses worldwide [13] | Primary |
| 2 | 🚀 Instant Deployment | Deploy web scrapers in minutes, not weeks, with our marketplace of 500+ ready-to-use Actors for any website or use case [17] | High |
| 3 | 🚀 Instant Deployment | Skip the custom development headaches - our pre-built scrapers handle everything from e-commerce sites to social platforms [17] | High |
| 4 | 🚀 Instant Deployment | From concept to production in under 15 minutes with our largest-in-industry Actor marketplace [17] | Medium |
| 5 | 🛡️ Enterprise-Grade Reliability | Let us handle the infrastructure, proxies, and scaling so your team can focus on the data, not the pipeline [13] | High |
| 6 | 🛡️ Enterprise-Grade Reliability | 99.9% uptime guarantee with automatic failover and enterprise SLAs that Fortune 500 companies depend on [13] | High |
| 7 | 🛡️ Enterprise-Grade Reliability | Built-in anti-detection, proxy rotation, and session management - no more scraper failures or blocked requests [6] | Medium |
| 8 | 🎯 Market Intelligence Advantage | Monitor competitor pricing, inventory, and market trends in real-time across unlimited websites and marketplaces [16] | High |
| 9 | 🎯 Market Intelligence Advantage | Turn web data into competitive advantage with automated market research that never sleeps [16] | High |
| 10 | 🎯 Market Intelligence Advantage | Power your AI and analytics with reliable, structured data from any website at enterprise scale [17] | Medium |

---

# References

[1] Apify 2026 Company Profile: Valuation, Funding & Investors | PitchBook
   https://pitchbook.com/profiles/company/168029-47

[2] How Apify hit $13.3M revenue with a 116 person team in 2024.
   https://getlatka.com/companies/apify

[3] Apify - 2026 Company Profile, Team, Funding, Competitors & Financials - Tracxn
   https://tracxn.com/d/companies/apify/__0uReiQEhtg8GaRezDAqQ2WHZWV3CvfdVGIqUl9Lgi7c

[4] Apify Stock Price, Funding, Valuation, Revenue & Financial Statements
   https://www.cbinsights.com/company/apify/financials

[5] 💰Company Funding Details Scraper · Apify
   https://apify.com/tech_gear/company-funding-details

[6] Apify pricing - plans for data collection at any scale · Apify
   https://apify.com/pricing

[7] Apify Software Pricing, Alternatives & More 2026 | Capterra
   https://www.capterra.com/p/150854/Apify/

[8] Apify Free Tier Pricing 2026: What Can You Do with $5 Credits? | Use Apify
   https://use-apify.com/docs/what-is-apify/apify-free-plan

[9] Web Scraping Pricing Guide: Cost Comparison of All Major Platforms | Use Apify
   https://use-apify.com/blog/web-scraping-pricing-guide-all-platforms

[10] Browser Automation for Web Scraping: Playwright, Puppeteer, and Selenium Deep Dive (2026) | Use Apify
   https://use-apify.com/blog/browser-automation-web-scraping-deep-dive

[11] Python alternatives to Scrapy for web scraping
   https://blog.apify.com/alternatives-scrapy-web-scraping/

[12] Scrapy vs Selenium: when to use them for web scraping
   https://blog.apify.com/scrapy-vs-selenium/

[13] Apify | LinkedIn
   https://www.linkedin.com/company/apify

[14] Target Product Search Scraper · Apify
   https://apify.com/ecomscrape/target-product-search-scraper

[15] Customer success stories · Apify
   https://apify.com/success-stories

[16] Get product data from multiple websites with one tool · Apify
   https://apify.com/use-cases/market-research

[17] Apify for Enterprise · Apify
   https://apify.com/enterprise

[18] Apify Reviews 2026. Verified Reviews, Pros & Cons | Capterra
   https://www.capterra.com/p/150854/Apify/reviews/

[19] 13 Capterra Customer Reviews & References | FeaturedCustomers
   https://www.featuredcustomers.com/vendor/capterra

[20] r/SaaS on Reddit: Focused on G2 and Capterra for 6 months. 47 reviews. 23 customers. $41K in new ARR.
   https://www.reddit.com/r/SaaS/comments/1pisyig/focused_on_g2_and_capterra_for_6_months_47/