Actor Name: TypeScript Enhanced Web Scraper

Actor Description: Our TypeScript Enhanced Web Scraper is a powerful and customizable tool designed to efficiently extract and organize data from various websites. Built using TypeScript, it provides enhanced functionality and scalability compared to traditional scraping tools.List of Inputs:

• Target URLs: A list of URLs to scrape data from. This input allows users to specify the web pages from which they want to extract information.

• Data Fields: Fields to extract from target URLs. Users can define the specific data points they want to extract and organize, such as product name, price, and description.

• Scraping Depth: The depth of navigation when scraping websites. Users can specify the level of page navigation for data extraction, whether it's limited to the input pages only or includes immediate links as well.

List of Outputs:

• Extracted Data: The structured data extracted from the target URLs, including the requested data fields. This output provides users with the extracted information in a format that is easy to analyze and utilize.

• Data Summary Report: A summary of the extracted data, including total records, unique entries, and potential duplicates. This report helps users gain insights into the data and understand its overall quality and completeness.

List of Services to be used:

• Apify SDK (URL: https://apify.com): The Apify SDK provides a powerful and flexible framework for web scraping and data extraction, allowing seamless integration and utilization of TypeScript for enhanced functionality.

• Puppeteer (URL: https://pptr.dev/): Puppeteer is a Node library that provides a high-level API for controlling headless browsers, enabling automated web scraping tasks with ease and efficiency.

How the Actor can help make more money:The TypeScript Enhanced Web Scraper saves users time and effort by automating large-scale data extraction, which can be used for market research, competitor analysis, and other business-related tasks. By providing accurate and concise data, users can make data-driven decisions that result in increased revenue.Needed Capital and Why:Approximately $50,000 is needed for the following reasons:

• Research and development: To build and refine the scraping tool, ensuring its efficiency and reliability.

• Testing and refining: To thoroughly test the actor, identify and fix any issues, and optimize its performance.

• Marketing and promotion: To create awareness and attract potential customers through targeted marketing efforts.

Entry Barriers:

• Existing web scraping tools and competition: Competing with established scraping tools requires unique features and superior performance to stand out.

• Research and development required for TypeScript implementation: Developing a TypeScript-based scraping tool requires technical expertise and investment in research and development.

• Legal concerns surrounding web scraping and data privacy: Complying with data protection regulations and addressing legal concerns related to web scraping is crucial for successful operation.

Who would pay for this service:

• Market researchers: Researchers looking for data to analyze market trends and consumer behavior.

• E-commerce businesses: Online retailers seeking competitive intelligence and pricing information.

• Industry analysts: Analysts and consultants requiring data for industry reports and market analysis.

• Competitor monitors: Businesses monitoring competitor pricing, product information, and market positioning.

Situations and Pricing:Clients would pay for this service:

• On a subscription basis: Individual users can subscribe for $20/month, while businesses can subscribe for $50/month.

• As a one-time project: Users can pay $100 per project for one-time data extraction and analysis.

Expected Outcome:With the given pricing model, assuming a client base of 100 subscribers and 10 one-time projects per month, the expected monthly revenue is:

• Subscription: 100 x $20 = $2,000

; 30 x $50 = $1,500 (Total: $3,500)

• One-Time Projects: 10 x $100 = $1,000

Total monthly revenue: $4,500ROI Calculation:Considering an initial investment of $50,000, the break-even point with a revenue of $4,500 per month would be reached in approximately 11 months.