WebRobot ltd is a London-based web scraping and mining company with big-data in mind. Its mission: become the leader as a provider of the right information at the right time for any successful businesses.
That's why we are building a super scalable infrastructure for data acquisition available as a web service.
Our bases: cloud computing, big-data technologies, data-extraction and information-extraction algorithms.
Are you looking for a robust and fast way to get all the heterogeneous and massive information available on the web?
Would you like to reduce your data collection internal management costs?
WebRobot Ltd is your ultimate strategic partner and ally, essential to your business success.
The Problem
Every successful company needs more and more information (data) on both the market, customers, and competitors. But it has to solve a big problem.
- It must get and manage good, reliable, and well-organized data.
- This is difficult because the internet is made up of a huge amount of semi-structured and unstructured data and it constantly changes its structure.
- The cost to collect all of these data is steep.
#bigdata
Our Solution
- We designed robust and scalable algorithms that can reduce the costs of data collection and its maintenance.
- We created automatic extraction features.
- We provide a powerful solution you can use as a web service.
- We integrated cloud computing with big data technologies applied in web mining.
- We designed visual support tools and SDK to connect to our stack.
WebRobot aims to become a complete ETL service involving data extraction, web mining, machine learning, and big-data analytics.
Our steps
- We have been finalizing the first version of the web service that will include the serverless version on the Lambda technology and Amazon EMR.
- We will integrate the wrapper induction algorithms into the spark context so that we can refine them with the latest academic findings.
- We finished the API implementation. Now we've been completing the usability studies of the current interface.
- We need to complete the open-source dashboard.
- We will design visual tools to support the ETL.
- We will set up a new grammar for the query.
The Business Model
- Seles channel: Amazon marketplace. You can choose between three packages: Entry-Level, Professional, and Enterprise.
- Average selling price: around €0.0008/page scraped. We will distinct static pages from dynamic pages that need complex algorithms.
- Average profit margin: at least 50%.
- Seles booster: a web agents marketplace integration plus a B2B2C paradigm to serve all the end-users and use cases.
#DataAnalytics
Trends and Business Opportunities
- Markets: Web Scraping, Web Mining, Data Analytics.
- Dimension: $2 billion estimated value in sales just in 2020
- Trend: further growth in the future thanks to (1) ever-greater importance of data for any businesses and (2) the predisposition of the companies to outsource these activities.
Main Competitors
- An API for data extraction. It uses machine learning heuristic and features to crawl the pages, but the results are not 100% precise.
- A cloud service focused on the Scrapy framework. But every single service is available separately while automatic extraction functions are still in beta version. Unfortunately, the results are not always compliant.
- A visual tool to configure the extractors, but it's particularly expensive.
Target
- E-commerce companies (algorithmic pricing and competition monitoring).
- Press reviews providers, social media analysis, opinion mining, and sentiment analysis companies.
- Hedge funds and financial institutions (financial data and sentiment indicators collection).
- Marketing agencies (SEO and web marketing automation).
- Vertical search engines developers and companies.
- Startups and small businesses that will profit from dedicated applications built on our stack.
POINTS OF STRENGTHS
- Scalability.
- Self-service fast big-data extraction solution.
OPPORTUNITIES
- A global market with big expansion opportunities.
- Profitable niche with low competition.
#profit
Financial Projection
Minimum sales: €20 million a year by 2024.
Global potential scraping request: 100 billion pages per day.
Basis: a medium-large customer that requires at least 1 million pages per day (€800.00 of value).
Global potential request: of 100 billion pages per day.
The #Investment Plan
- First round: 9% in equity - a €300k value / pre-money evaluation of €3 million.
- Second round: 9% in equity - a €2 million value.
- Third round: 9% in equity - a €10 million value.
- Going public on the stock exchange.
Would you like to be part of a great project and benefit from that?
Wish you boost and grow your business getting all the right information you need?
Request more details and a free quote. Move to the next step now!
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