Instagram-automation
🥈SilverFind python codes for automating the popular social media, Instagram.
400Updated 4mo ago
Intermediate30min to implementmarketing
Saves ~20 min per use
Quick InstallView Source
git clone https://github.com/darshanchaithram/Instagram-automation.gitWorks with:
Claude
Overview
About This Skill
The Instagram-automation skill is designed to help marketers automate tasks on the popular social media platform, Instagram, using Python codes. This skill allows users to streamline their marketing efforts by automating repetitive activities such as posting content, engaging with followers, and analyzing performance metrics. By leveraging this skill, users can focus on strategic initiatives rather than getting bogged down by manual processes. One of the key benefits of using the Instagram-automation skill is the potential time savings it offers. While the exact time savings are currently unknown, automating tasks that typically require manual effort can lead to significant efficiency gains. Marketers can implement this skill in approximately 30 minutes, making it a practical addition to their workflow. The intermediate complexity level means that users should have a basic understanding of Python programming to effectively utilize the automation scripts. This skill is particularly beneficial for product managers, digital marketers, and AI practitioners who are looking to enhance their marketing strategies through automation. By integrating Instagram-automation into their daily operations, these professionals can improve engagement rates, maintain consistent posting schedules, and derive actionable insights from their social media data. For example, a digital marketer could set up automated posts for product launches or promotions, ensuring that their audience is consistently engaged without manual intervention. Incorporating the Instagram-automation skill into an AI-first workflow aligns with modern marketing practices that prioritize efficiency and data-driven decision-making. As businesses increasingly rely on automation to enhance productivity, this skill serves as a valuable tool for those looking to optimize their social media marketing efforts. With the growing relevance of AI automation in marketing, the Instagram-automation skill stands out as a practical solution for professionals aiming to elevate their social media strategies.
How to Use
1. **Select Your Automation Task**: Choose what you want to automate (posting, following, liking, scraping) and identify the specific requirements like image folders, captions, or target users. 2. **Prepare Your Environment**: Set up a Python environment (3.7+) and install the required libraries. Create a dedicated folder for your automation project with all necessary files (images, captions, credentials). 3. **Customize the Script**: Replace [PLACEHOLDERS] in the generated script with your specific values (e.g., folder paths, usernames, posting schedules). Update the requirements.txt with exact versions that work with your Instagram account type (personal vs business). 4. **Test Thoroughly**: Run the script with a small batch first (e.g., 2-3 posts) to verify it works without triggering Instagram's anti-bot measures. Use Instagram's test account feature if available. 5. **Monitor and Adjust**: Check the output logs for errors. If you encounter rate limits, add delays between actions (e.g., `time.sleep(60)` between posts). Consider using proxies if managing multiple accounts to avoid IP bans. **Pro Tips:** - Use `python-dotenv` to securely store credentials instead of hardcoding them - Implement retry logic for failed actions (e.g., network issues) - For scraping tasks, respect Instagram's robots.txt and terms of service - Consider using Instagram's Graph API for business accounts instead of unofficial libraries to avoid restrictions
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/darshanchaithram/Instagram-automationRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Generate a Python script to automate [TASK] on Instagram using [LIBRARY]. The script should handle [SPECIFIC_FUNCTION] such as [EXAMPLE: posting content, liking posts, following users, or scraping data]. Include error handling for [COMMON_ISSUES] like rate limits or login failures. Provide a requirements.txt file with all dependencies. Example: 'Generate a Python script to automate posting carousel content to Instagram using Instagrapi. The script should read images from [FOLDER_PATH], add a caption from [CAPTION_FILE], and schedule posts for [TIMES]. Include error handling for network issues and login failures. Provide a requirements.txt file with all dependencies.'
Example Output
```python
# Instagram Carousel Posting Automation Script
# Requirements: instagrapi==1.12.0, pillow==9.5.0, python-dotenv==1.0.0
import os
from instagrapi import Client
from instagrapi.exceptions import LoginRequired, ChallengeRequired
from PIL import Image
import time
from datetime import datetime
# Load environment variables
USERNAME = os.getenv('INSTAGRAM_USERNAME')
PASSWORD = os.getenv('INSTAGRAM_PASSWORD')
FOLDER_PATH = './carousel_images'
CAPTION_FILE = './captions.txt'
POST_TIMES = ['09:00', '15:30']
# Initialize Instagram client
cl = Client()
try:
# Login with error handling
cl.login(USERNAME, PASSWORD)
print("Successfully logged in to Instagram")
# Read caption
with open(CAPTION_FILE, 'r') as f:
caption = f.read().strip()
# Process images in folder
image_files = sorted([f for f in os.listdir(FOLDER_PATH) if f.endswith(('.jpg', '.png'))])
if not image_files:
raise ValueError("No images found in the specified folder")
# Create carousel
media_ids = []
for img_file in image_files:
img_path = os.path.join(FOLDER_PATH, img_file)
# Resize image for Instagram (1080x1080 minimum)
img = Image.open(img_path)
img.thumbnail((1080, 1080))
resized_path = img_path.replace('.', '_resized.')
img.save(resized_path)
# Upload to Instagram
media = cl.photo_upload(resized_path, caption)
media_ids.append(media.id)
print(f"Uploaded image: {img_file}")
# Clean up resized image
os.remove(resized_path)
# Schedule post for specific times
for post_time in POST_TIMES:
scheduled_time = datetime.strptime(post_time, "%H:%M").time()
cl.media_publish(media_ids[0], scheduled_time=scheduled_time)
print(f"Scheduled post for {post_time}")
except ChallengeRequired as e:
print(f"Challenge required: {e}")
print("Please complete the verification on your device and update credentials")
except LoginRequired as e:
print(f"Login failed: {e}")
print("Check your username and password")
except Exception as e:
print(f"An error occurred: {e}")
finally:
cl.close()
```
```text
# requirements.txt
instagrapi==1.12.0
pillow==9.5.0
python-dotenv==1.0.0
python-dateutil==2.8.2
requests==2.31.0
```
**How to Use This Script:**
1. Install dependencies: `pip install -r requirements.txt`
2. Create a `.env` file with your Instagram credentials: `INSTAGRAM_USERNAME=your_username`, `INSTAGRAM_PASSWORD=your_password`
3. Prepare your carousel images in a folder (e.g., `./carousel_images`) and captions in `captions.txt`
4. Run the script: `python instagram_automation.py`
5. Monitor the output for any errors and adjust timing as needed
**Tips for Better Results:**
- Use high-quality images (1080x1080 pixels minimum)
- Keep captions under 2,200 characters
- Schedule posts during peak engagement times (typically 9 AM - 12 PM and 5 PM - 8 PM local time)
- Rotate accounts if you're managing multiple profiles to avoid detectionApply to these tools
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