Global Company Data Scrape

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I am looking for a freelancer to help me with a project to scrape global company data. The specific data that needs to be scraped includes company names, addresses, financial information, and employee data.

Additionally, I need the data to be cleaned and formatted in an advanced manner. This includes removing any duplicates or inconsistencies in the data and ensuring that it is presented in a structured and organized format.

Must be scraped to a data Base and allow re scrapes. To happen.

I'm looking at capturing 5000 company data records across 15 industries.

1. **Technology and Communications**

- Software Development

- Hardware Manufacturing

- Telecommunications

- Internet Service Providers

- Social Media Platforms

- Cloud Computing Services

2. **Finance and Banking**

- Retail Banking

- Investment Banking

- Insurance

- Fintech and Payment Systems

- Credit Reporting Agencies

3. **Healthcare**

- Hospitals and Clinics

- Pharmaceutical Companies

- Biotechnology

- Health Insurance

- Medical Equipment and Devices

4. **Retail and E-Commerce**

- Online Retailers

- Brick-and-Mortar Stores

- Supply Chain and Logistics

- Consumer Goods Manufacturing

5. **Energy and Utilities**

- Electric Power Generation and Distribution

- Oil and Gas

- Renewable Energy

- Water Supply and Treatment

- Nuclear Energy

6. **Transportation and Automotive**

- Automotive Manufacturing

- Aviation and Aerospace

- Public Transportation Systems

- Maritime and Shipping

- Logistics and Freight

7. **Government and Public Sector**

- National Defense and Military

- Public Administration

- Law Enforcement and Intelligence

- Space Agencies

- Public Health and Safety

8. **Education and Research**

- Universities and Colleges

- Private Research Institutions

- Educational Technology

- Online Learning Platforms

9. **Industrial and Manufacturing**

- Heavy Machinery and Equipment

- Chemical Manufacturing

- Consumer Electronics

- Textiles and Apparel

- Food Production

10. **Hospitality and Leisure**

- Hotels and Resorts

- Travel and Tourism

- Restaurants and Food Services

- Entertainment and Recreation

- Cultural Institutions

11. **Real Estate and Construction**

- Commercial Real Estate

- Residential Building

- Infrastructure Development

- Property Management

12. **Media and Entertainment**

- Broadcasting and Streaming

- Film and Music Production

- Publishing and Journalism

- Video Games and Interactive Media

13. **Professional Services**

- Legal Services

- Consulting

- Accounting and Auditing

- Human Resources

14. **Agriculture and Forestry**

- Farming and Crop Production

- Livestock and Animal Husbandry

- Forestry and Logging

- Agricultural Machinery

15. **Environmental and Sustainability**

- Environmental Protection

- Waste Management

- Sustainable Energy Solutions

- Conservation Organizations

To create a comprehensive system that covers the broad range of industries and sub-industries mentioned earlier, you'll need to consider several factors. The number of companies to include from each sector can vary greatly, but here's a general approach to estimate:

1. **Major Global Players**: Start with the top 50-100 global companies in each major industry. These are typically the most influential and often set trends that affect the entire sector.

2. **Regional Leaders**: In each major market (like North America, Europe, Asia-Pacific, etc.), identify the top 20-50 companies in each industry. These companies can provide insights into regional threats and trends.

3. **Innovative and Emerging Companies**: Include 10-20 companies per industry that are known for innovation or are rapidly growing. These companies often face unique cybersecurity challenges.

4. **Specialized Firms**: In each sub-industry, consider including 5-10 specialized firms that might have unique cybersecurity profiles.

Based on this approach, a rough estimate for each major industry could be:

- **Technology and Communications**: 100 global + 50 per region (let's say 4 regions) + 20 innovators = ~320 companies

- **Finance and Banking**: 100 global + 50 per region + 20 innovators = ~320 companies

- **Healthcare**: 100 global + 50 per region + 20 innovators = ~320 companies

- ... (and so on for each major industry)

If you apply this model across 15 major industries, you might end up with an initial list of around 4,800 companies (15 industries x 320 companies per industry). This is a very rough estimate and the actual number could be higher or lower based on the specific criteria you use for selecting companies.

To successfully onboard and integrate company data into the model for your website, [login to view URL], you'll need a structured data model that captures key information consistently across all companies. Here's a generic data model that you can use as a template:

1. **Company Basics**:

- **Name**: The official name of the company.

- **Industry**: The primary industry or sector the company operates in.

- **Sub-Industry**: More specific classification within the broader industry.

- **Headquarters Location**: Country and city of the company's headquarters.

- **Year Founded**: When the company was established.

2. **Financial Information**:

- **Revenue**: The latest annual revenue figures.

- **Market Cap**: For publicly traded companies, their current market capitalization.

- **Employee Count**: Number of employees.

3. **Operational Data**:

- **Key Products/Services**: Major products or services the company offers.

- **Major Markets**: Primary markets or regions where the company operates.

- **Supply Chain Info**: Key information about the company’s supply chain (if relevant and available).

4. **Technology Profile**:

- **IT Infrastructure**: Overview of the company's IT infrastructure (e.g., cloud-based, on-premises).

- **Cybersecurity Measures**: Known cybersecurity measures or policies the company has publicly disclosed.

- **Recent Tech Investments**: Information on recent investments in technology.

5. **Cybersecurity Profile**:

- **Past Breaches/Incidents**: History of any known cybersecurity incidents or breaches.

- **Cybersecurity Ratings**: If available, ratings or assessments from cybersecurity firms.

- **Compliance Standards**: Information on compliance with industry-specific security standards (like ISO 27001, HIPAA, etc.).

6. **Leadership and Governance**:

- **Key Executives**: Names and roles of top executives (CEO, CTO, CISO, etc.).

- **Cybersecurity Governance**: Information on how cybersecurity is managed at the governance level.

7. **Public Perception and News**:

- **Recent News**: Significant recent news articles or press releases about the company.

- **Public Perception**: Insights into the public perception of the company, possibly derived from social media analysis or sentiment analysis.

8. **Legal and Regulatory**:

- **Recent Legal Issues**: Any recent legal challenges or regulatory issues.

- **Compliance Status**: Status of compliance with relevant regulations.

9. **Research and Development**:

- **Innovation Initiatives**: Information on the company's R&D efforts, especially in technology and cybersecurity.

- **Patents**: Number and type of patents held, if relevant.

10. **External Relationships**:

- **Partnerships**: Key business partnerships or alliances.

- **Industry Involvement**: The company's role or involvement in industry groups or associations.

Suggested data sources that may help with this. Information :

1. **Financial and Business Information Platforms**:

- Websites like Bloomberg, Reuters, and Yahoo Finance offer extensive financial data on companies.

- Platforms like Crunchbase or AngelList are useful for startup and emerging company data.

2. **Public Company Filings**:

- For publicly traded companies, their annual reports and filings (like 10-K forms in the U.S.) are a rich source of information. These can be found on the Securities and Exchange Commission's EDGAR database or equivalent in other countries.

3. **Industry Analysis Reports**:

- Websites like Statista, IBISWorld, and MarketWatch often publish industry reports and company profiles.

4. **News Websites and Journals**:

- Business news websites (like Forbes, Business Insider, and The Wall Street Journal) regularly publish articles on companies and industries.

- Academic journals and industry-specific publications can also provide detailed insights, especially for R&D and technological advancements.

5. **Cybersecurity Rating and Information Services**:

- Platforms like SecurityScorecard or BitSight provide cybersecurity ratings for companies.

- The MITRE Corporation offers detailed information on cybersecurity threats and frameworks.

6. **Social Media and Professional Networks**:

- LinkedIn can provide information on company size, key personnel, and recent activities.

- Twitter and other social media platforms can offer insights into public perception and recent news.

7. **Legal and Regulatory Information Sources**:

- Websites like PACER (Public Access to Court Electronic Records) in the U.S. provide access to legal documents.

- Regulatory bodies often publish compliance and regulatory information on their websites.

8. **Job Posting and Career Websites**:

- Sites like Glassdoor and Indeed can provide indirect insights into a company's operations based on job postings and employee reviews.

9. **Company Websites**:

- Don’t overlook the wealth of information available on a company’s own website, including press releases, ‘About Us’ pages, and investor relations sections.

Ideal skills and experience for this job include:

- Proficiency in web scraping techniques

Web Skrabning Datasøgning Data Scraping Databaseudvikling Machine Learning (ML)

Projekt ID: #37502252

Om projektet

61 bud Remote projekt Aktiv 1 måned siden

61 freelancere byder i gennemsnit $806 timen for dette job

chirgeo

Hello, My name is George and I have extensive experience in web crawling and data scraping. I have collected data for various businesses in different domains with my custom web scraping tools. I believe my expertise w Flere

$1000 USD in 3 dage
(88 bedømmelser)
7.9
liveexperts123

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6.7
sunmoon25

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$550 USD in 3 dage
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6.8
sajjadtaghvaeifr

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$750 USD in 7 dage
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6.8
DeepSyaal

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$500 USD in 7 dage
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6.5
kayemhussain

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6.3
AwaisChaudhry

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6.4
OlektraGroup

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$750 USD in 15 dage
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5.6
AnjaliMehta

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$750 USD in 4 dage
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5.5
hsinha892

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5.8
tmoi06

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$800 USD in 5 dage
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5.1
umg536

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4.9
gm341473

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5.0
vorasiddh4it

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5.0
Logo199

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4.0
abdulrahman545

Hello, I hope you are fine. I can help you in scraping Global companies you can see my profile: https://www.freelancer.com/u/abdulrahman545 As a Python expert with 4 years of experience, I have experience with Web Sc Flere

$1000 USD in 3 dage
(23 bedømmelser)
4.0
maksabakanovich

Hi, I have read your proposal and I can scrap for you. I have worked a lot of scraping tasks and 100% completed. Of course, I will complete this one perfectly. Please contact me and start work. Thank you for posting.

$750 USD in 7 dage
(3 bedømmelser)
4.1
expert4design

Hi there, I am Rahul and I am excited to help you with your project. I have 9+ years of professional experience in web research, data entry, data collection, B2B lead generation, email handling, Excel and form filling Flere

$800 USD in 7 dage
(9 bedømmelser)
3.6
BryanMaullon

Hello, I am Bryan, a professional freelancer with extensive experience in the field of web scraping. I understand that you are looking for someone to help you with a project to scrape global company data. Specifically, Flere

$1000 USD in 15 dage
(2 bedømmelser)
3.7
muradeltaher

Hello, I am Murad and I am a mechanical engineer with extensive experience in Data Entry, Architecture, Excel and more. I understand you are looking for someone to help you with a project to scrape global company data. Flere

$1000 USD in 7 dage
(14 bedømmelser)
3.5