whatsapp-mass-sender-group-marketing

# WhatsApp Mass Sender & Group Marketing System > Skill by [ara.so](https://ara.so) — Marketing Skills collection. ## Overview This project provides automated tools for multi-platform social media marketing, focusing on: - **WhatsApp bulk messaging** and group marketing campaigns - **TikTok & Instagram follower extraction** from competitor accounts - **Automated engagement** (likes, comments, follows, DMs) - **Lead filtering** by demographics, activity, and AI-based criteria - **Cross-platform automation** for social media growth **Primary use cases:** - E-commerce stores running targeted outreach - Marketing agencies managing multiple client accounts - MCN organizations building follower bases - Affiliate marketers finding warm leads ## Installation Based on the project structure, this appears to be a service-based system rather than self-hosted code. Access is provided through: ```bash # Official website for system access https://www.facebook18.com # Technical support and documentation https://sites.google.com/view/facebook-script-custom/ https://sites.google.com/view/instagram-keyword-hashtag-lead/ ``` ### Environment Setup Store credentials securely using environment variables: ```bash # .env file WHATSAPP_API_KEY=your_api_key_here WHATSAPP_PHONE_NUMBER=+1234567890 INSTAGRAM_USERNAME=your_username INSTAGRAM_PASSWORD=your_password TIKTOK_SESSION_TOKEN=your_session_token PROXY_SERVER=http://proxy.example.com:8080 ``` ## Core Features & Configuration ### 1. WhatsApp Mass Messaging **Bulk message sending to contacts or groups:** ```python import os from whatsapp_marketing import MassSender # Initialize sender sender = MassSender( api_key=os.getenv('WHATSAPP_API_KEY'), phone_number=os.getenv('WHATSAPP_PHONE_NUMBER') ) # Send to contact list contacts = ['+1234567890', '+0987654321'] message = "🔥 Special offer today only! Check out our new products at example.com" sender.send_bulk_message( recipients=contacts, message=message, delay_between=5, # seconds between messages randomize_delay=True ) ``` **Group marketing:** ```python # Send to multiple WhatsApp groups groups = ['group_id_1', 'group_id_2', 'group_id_3'] sender.send_to_groups( group_ids=groups, message="Join our exclusive community! Link: example.com/join", schedule_time="2026-06-01 10:00:00" # Optional scheduled send ) ``` ### 2. Instagram Follower Extraction **Extract followers from competitor accounts:** ```python from instagram_scraper import FollowerExtractor extractor = FollowerExtractor( username=os.getenv('INSTAGRAM_USERNAME'), password=os.getenv('INSTAGRAM_PASSWORD'), proxy=os.getenv('PROXY_SERVER') ) # Extract competitor's followers competitor_followers = extractor.get_followers( target_account='competitor_username', max_followers=5000, filters={ 'min_followers': 100, 'max_followers': 10000, 'is_verified': False, 'has_profile_picture': True } ) # Save to CSV extractor.export_to_csv(competitor_followers, 'leads.csv') ``` **Hashtag-based lead extraction:** ```python # Find users posting with specific hashtags hashtag_leads = extractor.search_by_hashtag( hashtags=['fitness', 'workout', 'gym'], engagement_filters={ 'min_likes': 50, 'min_comments': 5, 'posted_within_days': 30 }, max_results=1000 ) # Filter by demographics filtered_leads = extractor.filter_by_demographics( users=hashtag_leads, criteria={ 'age_range': [18, 35], 'gender': 'any', 'location': ['US', 'UK', 'CA'] } ) ``` ### 3. TikTok User Extraction **Extract engaged users from competitor videos:** ```python from tiktok_scraper import TikTokExtractor tiktok = TikTokExtractor( session_token=os.getenv('TIKTOK_SESSION_TOKEN') ) # Get users who liked/commented on competitor videos engaged_users = tiktok.extract_engaged_users( video_url='https://tiktok.com/@competitor/video/123456789', extraction_type='both', # 'likes', 'comments', or 'both' max_users=2000 ) # Extract followers from competitor profile competitor_followers = tiktok.get_profile_followers( username='competitor_username', max_followers=10000 ) ``` ### 4. Automated Engagement **Auto-follow, like, and comment:** ```python from social_automation import EngagementBot bot = EngagementBot( platform='instagram', credentials={ 'username': os.getenv('INSTAGRAM_USERNAME'), 'password': os.getenv('INSTAGRAM_PASSWORD') } ) # Configure engagement campaign campaign = bot.create_campaign( name='Competitor Targeting Q2', actions={ 'follow': True, 'like_posts': 3, # Like 3 recent posts per user 'comment': True, 'send_dm': True }, targets=filtered_leads, daily_limit=200, # Max actions per day comment_templates=[ 'Great content! 🔥', 'Love this! 💯', 'Amazing post! ✨' ], dm_template='Hi! I love your content. Check out our page @yourpage 🚀' ) # Start automated engagement bot.run_campaign(campaign) ``` ### 5. Multi-Account Management **Manage multiple social accounts:** ```python from account_manager import MultiAccountManager manager = MultiAccountManager() # Add accounts manager.add_account('instagram', { 'username': 'account1', 'password': os.getenv('IG_ACCOUNT1_PASSWORD') }) manager.add_account('instagram', { 'username': 'account2', 'password': os.getenv('IG_ACCOUNT2_PASSWORD') }) # Rotate accounts for actions manager.distribute_actions( action_type='follow', targets=competitor_followers, actions_per_account=100 ) ``` ## Common Patterns ### Lead Generation Workflow ```python # Complete lead generation and outreach workflow def automated_lead_funnel(): # 1. Extract leads from multiple sources ig_leads = extractor.get_followers('competitor1', max_followers=5000) tiktok_leads = tiktok.get_profile_followers('competitor2', max_followers=5000) hashtag_leads = extractor.search_by_hashtag(['yourindustry'], max_results=1000) # 2. Combine and deduplicate all_leads = list(set(ig_leads + tiktok_leads + hashtag_leads)) # 3. Filter high-quality leads qualified_leads = extractor.filter_by_demographics( users=all_leads, criteria={ 'min_followers': 200, 'max_followers': 50000, 'has_business_account': False, 'engagement_rate': 0.02 # 2% minimum } ) # 4. Automated engagement bot.create_campaign( name='Auto Funnel', actions={'follow': True, 'like_posts': 2, 'send_dm': True}, targets=qualified_leads, daily_limit=150 ) # 5. Export for WhatsApp follow-up phone_numbers = extract_phone_numbers(qualified_leads) sender.send_bulk_message( recipients=phone_numbers, message="Special offer for Instagram followers! Use code IG20: example.com" ) automated_lead_funnel() ``` ### Scheduled Campaign Management ```python from scheduler import CampaignScheduler scheduler = CampaignScheduler() # Schedule daily follower extraction scheduler.add_task( name='Daily Competitor Scrape', function=extractor.get_followers, args=['competitor_username'], kwargs={'max_followers': 500}, schedule='daily', time='09:00' ) # Schedule engagement waves scheduler.add_task( name='Morning Engagement', function=bot.run_campaign, schedule='daily', time='10:00' ) scheduler.add_task( name='Evening Engagement', function=bot.run_campaign, schedule='daily', time='18:00' ) scheduler.start() ``` ## API Rate Limiting & Safety **Implement safe usage patterns:** ```python from safety import RateLimiter, ActionThrottler # Configure rate limits limiter = RateLimiter( max_follows_per_hour=50, max_likes_per_hour=100, max_comments_per_hour=30, max_dms_per_hour=20 ) # Use throttler in campaigns throttler = ActionThrottler(limiter) def safe_engagement(targets): for user in targets: # Check rate limits before action if throttler.can_follow(): bot.follow_user(user) throttler.record_action('follow') if throttler.can_like(): bot.like_recent_posts(user, count=2) throttler.record_action('like', count=2) # Random delay to mimic human behavior throttler.human_delay(min_seconds=10, max_seconds=30) ``` ## Troubleshooting ### Account Suspension Prevention ```python # Use rotating proxies from proxy_rotator import ProxyPool proxy_pool = ProxyPool([ 'http://proxy1.example.com:8080', 'http://proxy2.example.com:8080', 'http://proxy3.example.com:8080' ]) extractor = FollowerExtractor( username=os.getenv('INSTAGRAM_USERNAME'), password=os.getenv('INSTAGRAM_PASSWORD'), proxy_pool=proxy_pool, rotate_every_n_requests=50 ) ``` ### Session Management ```python # Handle session expiration try: followers = extractor.get_followers('target_account') except SessionExpiredError: extractor.refresh_session() followers = extractor.get_followers('target_account') ``` ### Data Export & Integration ```python # Export to multiple formats from exporters import DataExporter exporter = DataExporter() # CSV export exporter.to_csv(leads, 'leads.csv', columns=['username', 'followers', 'email']) # JSON export exporter.to_json(leads, 'leads.json') # CRM integration (example: HubSpot) exporter.to_crm( leads, crm='hubspot', api_key=os.getenv('HUBSPOT_API_KEY'), custom_fields={'lead_source': 'Instagram Competitor Scrape'} ) ``` ## Best Practices 1. **Always respect platform rate limits** to avoid account bans 2. **Use proxy rotation** for large-scale extraction 3. **Randomize delays** between actions (10-60 seconds) 4. **Store credentials securely** in environment variables 5. **Monitor daily action limits** (follows, likes, DMs) 6. **Test campaigns on small groups** before scaling 7. **Comply with GDPR/privacy laws** when collecting user data 8. **Use multiple accounts** to distribute workload ## Support & Documentation - Official website: https://www.facebook18.com - Technical guide: https://sites.google.com/view/facebook-script-custom/ - Lead generation docs: https://sites.google.com/view/instagram-keyword-hashtag-lead/ For implementation support, contact the technical team through the official channels listed above.