Data Collection: 26,000 Company Details Needed
Budget: $30 – $250 USD
I'm looking for a freelancer to perform a large-scale data mining project, involving 260 Google search queries.
Key Tasks:
- Complete 260 Google search queries based on provided key terms.
- Crawl the top 100 search result websites for each query.
- Collect the company name, address, phone number, and email from each website.
- Organize the data in a spreadsheet by search query.
Additional Details:
- The total output should be approximately 26,000 unique company records.
- The search queries will be based on a list of key terms (see attached).
- The data should be collected only from a specific country.
Skills/Experience Required:
- Proficiency in data mining, web crawling, and data entry.
- Familiarity with Google search queries and search result parsing.
- Strong attention to detail to ensure accuracy in data collection.
- Previous experience with similar large-scale data collection projects is preferred.
Please provide an estimate of the time required to complete this project, as well as your proposed approach to ensure the data is accurate and comprehensive.
Key Tasks:
- Complete 260 Google search queries based on provided key terms.
- Crawl the top 100 search result websites for each query.
- Collect the company name, address, phone number, and email from each website.
- Organize the data in a spreadsheet by search query.
Additional Details:
- The total output should be approximately 26,000 unique company records.
- The search queries will be based on a list of key terms (see attached).
- The data should be collected only from a specific country.
Skills/Experience Required:
- Proficiency in data mining, web crawling, and data entry.
- Familiarity with Google search queries and search result parsing.
- Strong attention to detail to ensure accuracy in data collection.
- Previous experience with similar large-scale data collection projects is preferred.
Please provide an estimate of the time required to complete this project, as well as your proposed approach to ensure the data is accurate and comprehensive.