Find/Scrap Companies
### TASK DESCRIPTION:
Your primary objective is to compile a comprehensive list of at least 1,000 software development companies. You will gather their company names and website URLs, and then export this data into a single CSV file named software_companies.csv.
To accomplish this, you will employ a multi-step data extraction strategy that involves advanced search queries, web scraping via terminal commands, and data parsing. This ensures the data is accurate and directly sourced.
REQUIRED OUTPUT FORMAT (CSV):
A single CSV file named software_companies.csv with the following columns:
company_name
website_url
### EXECUTION STRATEGY & STEPS:
Phase 1: Initial Search & URL Discovery
Execute Advanced Search Queries: Perform a series of strategic Google searches to identify potential software development companies. Use multiple, varied queries to maximize the number of unique results.
Initial Query: site:.ai "software development" OR site:.com "software development"
Follow-up Queries (Examples): "custom software services", "enterprise software solutions", "mobile app development company", "saas development agency"
Extract URLs from Search Results: From the search engine results pages (SERPs), systematically extract all unique root domain URLs (e.g., example.com, anothersite.ai).
De-duplicate and Sanitize URLs: Create a clean, de-duplicated list of target website URLs to ensure each company is processed only once.
Phase 2: Direct Data Extraction via Terminal
Iterate and Scrape: For each unique URL in your sanitized list:
Use the curl command in the terminal to fetch the raw HTML content of the website's homepage.
Example Command: curl -L "https://www.example.com" (The -L flag is crucial to follow redirects ).
Save the HTML output of each site temporarily for processing.
Parse HTML for Key Information:
From the fetched HTML content of each site, parse the data to extract the official Company Name. A good place to look is the <title> tag or <h1> headings.
Confirm the Website URL you used for the curl request.
Handle Failures Gracefully: If a curl request to a specific URL fails (e.g., timeout, 404 error), log the failed URL and continue to the next one without halting the entire process.
Phase 3: Compilation and Final Output
Append Data to CSV: As you successfully extract the company_name and website_url for each company, append this information as a new row to your software_companies.csv file.
Continue Until Target is Reached: Repeat the process of searching, extracting, and scraping until you have successfully compiled data for at least 1,000 companies.
Final Review: Once the task is complete, present the final software_companies.csv file as the result.
Created: 9/25/2025
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