SPONSORED POSTS EARNING ESTIMATOR TOOL

Sponsored Post Earnings Estimator

Select Platform: Instagram TikTok YouTube Followers/Subscribers: Engagement Rate (%):

FREELANCE INCOME ESTIMATOR TOOL

💻 Freelance Income Estimator

ONLINE EARNING ESTIMATOR TOOL

💰 Online Earning Estimator

Freelancing - Hours per week: Freelancing - Rate per hour (₹): YouTube - Monthly views: YouTube - CPM (₹ per 1000 views): Affiliate - Monthly link clicks: Affiliate - Conversion rate (%): Affiliate - Average commission per sale (₹): Digital Products - Monthly sales: Digital Products - Price per product (₹):

BLOGPOST EARNING ESTIMATOR TOOL

💰 Sponsored Blog Post Earnings Estimator

Monthly Page Views: Blog Niche: General Tech Finance Travel Health & Fitness Business

REMOTE JOBS TOOL

import os import json import time import smtplib import logging from email.mime.text import MIMEText from email.mime.multipart import MIMEMultipart from pathlib import Path import requests from dotenv import load_dotenv # Optional: for scheduling within Python import schedule # Set up basic logging logging.basicConfig(level=logging.INFO, format='%(asctime)s [%(levelname)s] %(message)s') # Load environment variables load_dotenv() SMTP_SERVER = os.getenv("SMTP_SERVER") SMTP_PORT = int(os.getenv("SMTP_PORT", 587)) EMAIL_USER = os.getenv("EMAIL_USER") EMAIL_PASS = os.getenv("EMAIL_PASS") RECIPIENT_EMAIL = os.getenv("RECIPIENT_EMAIL") KEYWORDS = [kw.strip().lower() for kw in os.getenv("KEYWORDS", "").split(",") if kw.strip()] # File to store IDs of jobs already notified SEEN_FILE = Path("seen_jobs.json") def load_seen_jobs(): if SEEN_FILE.exists(): try: with open(SEEN_FILE, "r") as f: data = json.load(f) if isinstance(data, list): return set(data) except Exception as e: logging.warning(f"Could not read seen jobs file: {e}") return set() def save_seen_jobs(seen_set): try: with open(SEEN_FILE, "w") as f: json.dump(list(seen_set), f) except Exception as e: logging.error(f"Error saving seen jobs file: {e}") def fetch_jobs(): """ Fetch job listings from RemoteOK JSON API. RemoteOK API endpoint: https://remoteok.com/api """ url = "https://remoteok.com/api" # public endpoint headers = { "User-Agent": "Mozilla/5.0 (compatible; JobNotifier/1.0)" } try: resp = requests.get(url, headers=headers, timeout=10) resp.raise_for_status() data = resp.json() # The first element may be metadata; filter typical job dicts by presence of 'id' and 'position' jobs = [] for item in data: if isinstance(item, dict) and item.get("id") and item.get("position"): jobs.append(item) logging.info(f"Fetched {len(jobs)} job postings") return jobs except Exception as e: logging.error(f"Error fetching jobs: {e}") return [] def filter_jobs(jobs, keywords, seen_ids): """ Return list of job dicts matching any keyword and not in seen_ids. """ new_matches = [] for job in jobs: job_id = str(job.get("id")) if job_id in seen_ids: continue text = (job.get("position","") + " " + job.get("description","") + " " + job.get("company","")).lower() if any(kw in text for kw in keywords): new_matches.append(job) logging.info(f"Found {len(new_matches)} new matching jobs") return new_matches def format_email(jobs): """ Create an HTML/plain text summary of the jobs. """ if not jobs: return None, None subject = f"{len(jobs)} new remote job(s) matching your keywords" plain_lines = [] html_lines = [''] html_lines.append(f"

{len(jobs)} new remote job(s) found

") for job in jobs: title = job.get("position") company = job.get("company") url = job.get("url") or job.get("apply_url") or job.get("url") # fields may vary date = job.get("date") or job.get("date_posted", "") snippet = job.get("description","")[:200].replace("\n", " ").strip() plain_lines.append(f"- {title} at {company} ({date}): {url}") html_lines.append(f"
• {title} at {company} ({date})
  " f"{snippet}...
  View Job
") html_lines.append("

") plain_text = "\n".join(plain_lines) html_text = "\n".join(html_lines) return subject, (plain_text, html_text) def send_email(subject, body_plain, body_html): """ Send an email via SMTP. """ msg = MIMEMultipart("alternative") msg["Subject"] = subject msg["From"] = EMAIL_USER msg["To"] = RECIPIENT_EMAIL part1 = MIMEText(body_plain, "plain") part2 = MIMEText(body_html, "html") msg.attach(part1) msg.attach(part2) try: server = smtplib.SMTP(SMTP_SERVER, SMTP_PORT) server.ehlo() server.starttls() server.login(EMAIL_USER, EMAIL_PASS) server.sendmail(EMAIL_USER, RECIPIENT_EMAIL, msg.as_string()) server.quit() logging.info("Email sent successfully") except Exception as e: logging.error(f"Failed to send email: {e}") def job_notifier(): seen = load_seen_jobs() jobs = fetch_jobs() new_jobs = filter_jobs(jobs, KEYWORDS, seen) if new_jobs: subject, bodies = format_email(new_jobs) if subject: send_email(subject, bodies[0], bodies[1]) # Mark these as seen for job in new_jobs: seen.add(str(job.get("id"))) save_seen_jobs(seen) else: logging.info("No new matching jobs; nothing to email.") def main(): # Run once immediately job_notifier() # If you prefer to schedule within this script (e.g. every day at 09:00): # schedule.every().day.at("09:00").do(job_notifier) # while True: # schedule.run_pending() # time.sleep(60) if __name__ == "__main__": main()

FREELANCE JOB FINDER TOOL

// Freelance Job Finder Tool (Frontend + API Fetch) // This tool allows users to search for remote freelance jobs using a public API like Remotive.

Freelance Job Finder

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"🔎 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"📨 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"💰 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("📊 Earnings data saved to 'earnings_history.csv'") print(df.tail()) else: print("No earnings data yet.") def run(self): """Main automation loop.""" print("\n🚀 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()

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()

YOUTUBE REVENUE ESTIMATOR TOOL

YouTube Revenue Estimator

Estimated Monthly Views: Average CPM ($):

Estimated Earnings: $0

BLOG AD REVENUE SPLIT CALCULATOR TOOL

Blog Ad Revenue Split Calculator

Total Ad Revenue ($):

Contributor Name:

Total Views:

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)