Encuentre emails de cualquier empresa que utilice un nombre de dominio.
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Here is snipet code to run python .
It does read from a file with domain names , one per row.
It does produce emails in an output file, one email per row.
import json import requests from concurrent.futures import ThreadPoolExecutor # File paths input_file_path = 'domains.txt' # Replace 'file_A.csv' with your input file path output_file_path = 'emails_output.txt' # Replace 'file_B.csv' with your output file path key ='' # Function to process a single row def process_row(row): api_url = 'https://api.minelead.io/v1/search/?domain='+row+'&key='+key+'&max-emails=3' response = requests.get(api_url) data = response.content try: data = json.loads(data.strip()) return data except json.JSONDecodeError: print(f"Error decoding JSON in row: {row}") return None # Function to extract emails from data and write them to output file def extract_and_write_emails(data, output_file): if 'emails' in data: emails = [email['email'] for email in data['emails']] domain = data['domain'] with open('emails_output.txt', 'a') as file: for email in emails: file.write(f"{domain}, {email}\n") # Open input and output files with open(input_file_path, 'r') as input_file, open(output_file_path, 'a') as output_file: # Create a thread pool executor with ThreadPoolExecutor(max_workers=3) as executor: # Process each row in a separate thread futures = [executor.submit(process_row, row) for row in input_file] # Process the results for future in futures: data = future.result() if data: extract_and_write_emails(data, output_file)