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Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Automate Instagram engagement with Python and Selenium
InstaPy automates Instagram interactions—likes, comments, and follows—using Python and Selenium to grow your social media presence programmatically.
InstaPy is a Python-based automation tool that handles repetitive Instagram interactions at scale. Built on Selenium, it programmatically engages with content through likes, comments, and follows to organically increase your account's visibility and follower count.
Designed for marketers, growth hackers, and developers comfortable with Python scripting, InstaPy offers a code-driven alternative to manual engagement. The tool provides fine-grained control over targeting, scheduling, and interaction patterns, making it suitable for users who want to experiment with social media automation strategies.
InstaPy leverages Selenium WebDriver to simulate browser-based interactions with Instagram's web interface. The project includes comprehensive documentation, Docker support for containerized deployments, and an active community that has contributed to its evolution. With over 17,500 GitHub stars, it represents one of the most widely adopted Instagram automation frameworks in the Python ecosystem.
Note: Automated interactions may violate Instagram's Terms of Service and carry account suspension risks. Users should carefully evaluate platform policies before deployment.
When teams consider InstaPy, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Niche Community Building
Target hashtags and competitor followers to attract engaged users in specific verticals like fitness or travel photography
Content Validation Testing
Automate engagement on test posts to gauge organic reach patterns before launching paid campaigns
Competitive Intelligence
Monitor and interact with competitor audiences to identify high-value follower segments for manual outreach
Agency Client Onboarding
Rapidly bootstrap new client accounts with initial follower bases before transitioning to organic strategies
Instagram prohibits automated interactions in its Terms of Service. Accounts using bots risk temporary restrictions, shadowbans, or permanent suspension. Use test accounts and conservative rate limits to minimize detection.
Basic Python knowledge, command-line familiarity, and understanding of pip package management. The documentation includes setup guides, but troubleshooting Selenium issues requires debugging skills.
Yes. Docker support enables deployment on cloud infrastructure. Headless browser mode allows operation without GUI, though you'll need to manage IP rotation and session persistence.
InstaPy offers full control and transparency over automation logic without recurring fees. Paid services handle infrastructure and compliance risk but lack customization and may use similar bot techniques.
The repository shows 0 open issues and has an active contributor base. However, Instagram's evolving anti-bot measures require ongoing updates. Check recent commits before deploying.
Project at a glance
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