75f96181ae2c8cfa6b2e719cf35c5c4d 75f96181ae2c8cfa6b2e719cf35c5c4d veeceebp

https://augustpinch.com/qnd7d2fhd?key=ed5dbed8ecdd9af92e2b54e652945382

8

Wednesday, June 11, 2025

ONLINE EARNING TOOL

import requests import pandas as pd from datetime import datetime class OnlineEarningTool: def __init__(self): self.upwork_api_key = "YOUR_UPWORK_API_KEY" self.amazon_api_key = "YOUR_AMAZON_AFFILIATE_KEY" self.fiverr_api_key = "YOUR_FIVERR_API_KEY" # If available self.earnings_data = [] def fetch_upwork_jobs(self, keyword="Python"): """Fetch latest Upwork jobs matching a keyword.""" url = f"https://api.upwork.com/api/v3/jobs?q={keyword}" headers = {"Authorization": f"Bearer {self.upwork_api_key}"} try: response = requests.get(url, headers=headers) jobs = response.json().get("jobs", []) print(f"šŸ”Ž Found {len(jobs)} Upwork jobs for '{keyword}'") return jobs except Exception as e: print(f"❌ Upwork API Error: {e}") return [] def auto_apply_upwork(self, jobs, min_pay=50): """Auto-apply to Upwork jobs with minimum pay.""" applied = 0 for job in jobs: if job.get("budget", 0) >= min_pay: job_id = job.get("id") apply_url = f"https://upwork.com/jobs/{job_id}/apply" print(f"✅ Applied to job: {job['title']} (${job['budget']})") applied += 1 print(f"šŸ“Ø Applied to {applied} jobs.") return applied def track_amazon_affiliate_earnings(self): """Check Amazon Affiliate earnings via API.""" url = "https://affiliate-api.amazon.com/report" params = { "api_key": self.amazon_api_key, "report_type": "earnings" } try: response = requests.get(url, params=params) earnings = response.json().get("earnings", 0) print(f"šŸ’° Amazon Affiliate Earnings: ${earnings:.2f}") return earnings except Exception as e: print(f"❌ Amazon API Error: {e}") return 0 def analyze_earnings(self): """Store and analyze earnings over time.""" df = pd.DataFrame(self.earnings_data) if not df.empty: df.to_csv("earnings_history.csv", index=False) print("šŸ“Š Earnings data saved to 'earnings_history.csv'") print(df.tail()) else: print("No earnings data yet.") def run(self): """Main automation loop.""" print("\nšŸš€ Starting Online Earning Automation...") # 1. Fetch & apply to Upwork jobs jobs = self.fetch_upwork_jobs("Python") self.auto_apply_upwork(jobs, min_pay=30) # 2. Track Amazon Affiliate earnings amazon_earnings = self.track_amazon_affiliate_earnings() self.earnings_data.append({ "date": datetime.now().strftime("%Y-%m-%d"), "source": "Amazon Affiliate", "amount": amazon_earnings }) # 3. Analyze & save data self.analyze_earnings() if __name__ == "__main__": tool = OnlineEarningTool() tool.run()

Monday, June 9, 2025

SYSTEM INFORMATION CHECKER TOOL full python

import platform import socket import psutil import datetime import shutil import os def get_size(bytes, suffix="B"): """Scale bytes to proper format e.g. KB, MB, GB""" factor = 1024 for unit in ["", "K", "M", "G", "T", "P"]: if bytes < factor: return f"{bytes:.2f} {unit}{suffix}" bytes /= factor def system_info(): print("="*40, "System Information", "="*40) print(f"System: {platform.system()}") print(f"Node Name: {platform.node()}") print(f"Release: {platform.release()}") print(f"Version: {platform.version()}") print(f"Machine: {platform.machine()}") print(f"Processor: {platform.processor()}") print(f"Architecture: {' '.join(platform.architecture())}") print("="*100) def cpu_info(): print("="*40, "CPU Info", "="*40) print(f"Physical cores: {psutil.cpu_count(logical=False)}") print(f"Total cores: {psutil.cpu_count(logical=True)}") print(f"Max Frequency: {psutil.cpu_freq().max:.2f} Mhz") print(f"Min Frequency: {psutil.cpu_freq().min:.2f} Mhz") print(f"Current Frequency: {psutil.cpu_freq().current:.2f} Mhz") print("="*100) def memory_info(): print("="*40, "Memory Info", "="*40) svmem = psutil.virtual_memory() print(f"Total: {get_size(svmem.total)}") print(f"Available: {get_size(svmem.available)}") print(f"Used: {get_size(svmem.used)}") print(f"Percentage: {svmem.percent}%") print("="*100) def disk_info(): print("="*40, "Disk Info", "="*40) total, used, free = shutil.disk_usage("/") print(f"Total: {get_size(total)}") print(f"Used: {get_size(used)}") print(f"Free: {get_size(free)}") print("="*100) def network_info(): print("="*40, "Network Info", "="*40) hostname = socket.gethostname() ip_address = socket.gethostbyname(hostname) print(f"Hostname: {hostname}") print(f"IP Address: {ip_address}") print("="*100) def uptime_info(): print("="*40, "Uptime", "="*40) boot_time_timestamp = psutil.boot_time() bt = datetime.datetime.fromtimestamp(boot_time_timestamp) print(f"Boot Time: {bt.strftime('%Y-%m-%d %H:%M:%S')}") uptime = datetime.datetime.now() - bt print(f"Uptime: {str(uptime).split('.')[0]}") print("="*100) if __name__ == "__main__": os.system('cls' if os.name == 'nt' else 'clear') system_info() cpu_info() memory_info() disk_info() network_info() uptime_info()

Thursday, June 5, 2025

YOUTUBE REVENUE ESTIMATOR TOOL

YouTube Revenue Estimator

YouTube Revenue Estimator

Estimated Earnings: $0

Wednesday, June 4, 2025

BLOG AD REVENUE SPLIT CALCULATOR TOOL

Blog Ad Revenue Splitter

Blog Ad Revenue Split Calculator









Tuesday, June 3, 2025

AFFILIATE LINK GENERATOR TOOL

# Affiliate Link Generator Tool # This script helps content creators generate affiliate links automatically. from urllib.parse import urlencode def generate_affiliate_link(base_url, affiliate_id, product_id=None, campaign=None): """ Generates an affiliate URL with optional campaign and product tracking. :param base_url: The base URL of the product or store. :param affiliate_id: The unique affiliate ID provided by the affiliate program. :param product_id: Optional product ID. :param campaign: Optional campaign identifier. :return: A full affiliate tracking URL. """ params = { 'ref': affiliate_id } if product_id: params['product'] = product_id if campaign: params['campaign'] = campaign query_string = urlencode(params) affiliate_url = f"{base_url}?{query_string}" return affiliate_url # Example usage if __name__ == "__main__": base = input("Enter the base product URL: ") aff_id = input("Enter your affiliate ID: ") prod_id = input("Enter product ID (optional): ") or None camp = input("Enter campaign name (optional): ") or None link = generate_affiliate_link(base, aff_id, prod_id, camp) print("\nGenerated Affiliate Link:") print(link)

Saturday, May 31, 2025

DROPSHIPPING PROFIT CALCULATOR TOOL

Dropshipping Profit Calculator

Dropshipping Profit Calculator

Thursday, May 29, 2025

FREELANCE JOB FINDER TOOL

import requests from bs4 import BeautifulSoup def fetch_remote_jobs(keyword="Python"): url = "https://remoteok.com/remote-dev+{}-jobs".format(keyword.lower()) headers = {"User-Agent": "Mozilla/5.0"} try: response = requests.get(url, headers=headers) response.raise_for_status() soup = BeautifulSoup(response.text, "html.parser") job_posts = soup.find_all("tr", class_="job") print(f"\nšŸ” Found {len(job_posts)} jobs for keyword: {keyword}\n") for job in job_posts[:10]: # show top 10 jobs title = job.find("h2", itemprop="title") company = job.find("h3", itemprop="name") link_tag = job.find("a", class_="preventLink") link = f"https://remoteok.com{link_tag['href']}" if link_tag else "#" if title and company: print(f"šŸ¢ {company.text.strip()} - šŸ’¼ {title.text.strip()}") print(f"šŸ”— Apply: {link}\n") except requests.exceptions.RequestException as e: print("⚠️ Error fetching jobs:", e) if __name__ == "__main__": keyword = input("Enter a skill to search jobs for (e.g., Python, design): ") fetch_remote_jobs(keyword)

SMART AFFILIATE LINK GENERATOR

Smart Affiliate Link Generator šŸ’° Smart Affiliate Link Generator Enter your blog/content: Enter keywords and affili...