Autoscraper is a lightweight and efficient web scraping tool designed for Python developers. It automates the process of extracting data from websites, making it ideal for tasks in data collection and analysis.
claude install alirezamika/autoscraperAutoscraper is a lightweight and efficient web scraping tool designed for Python developers. It automates the process of extracting data from websites, making it ideal for tasks in data collection and analysis.
Extract product prices from e-commerce sites to analyze pricing trends.
Gather data for market research by scraping competitor websites.
Automate content collection for SEO purposes by extracting relevant articles.
Monitor competitor websites for changes in product offerings or pricing.
claude install alirezamika/autoscrapergit clone https://github.com/alirezamika/autoscraperCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I need to scrape data from [WEBSITE_URL] to extract [DATA_TYPE] such as product names, prices, and reviews. The data should be structured in a CSV format with columns for [COLUMN_NAMES]. Please provide the Python code using Autoscraper to accomplish this task.
Here is a Python script using Autoscraper to scrape product data from an e-commerce website:
```python
from autoscraper import AutoScraper
# Define the URL and the desired data to scrape
url = 'https://example-ecommerce-site.com/products'
desired_list = ['Product Name', 'Price', 'Rating']
# Initialize the AutoScraper
scraper = AutoScraper()
# Build the scraper with the desired data
scraper.build(url, desired_list)
# Get the scraped data
result = scraper.get_result_similar(url)
# Save the data to a CSV file
import pandas as pd
df = pd.DataFrame(result, columns=['Product Name', 'Price', 'Rating'])
df.to_csv('product_data.csv', index=False)
print('Data has been scraped and saved to product_data.csv')
```
The script will output a CSV file named 'product_data.csv' containing the product names, prices, and ratings from the specified e-commerce website.Your one-stop shop for church and ministry supplies.
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