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.
1. **Install Autoscraper**: Run `pip install autoscraper` in your Python environment. Ensure you have Python 3.6+ installed. 2. **Define Target Elements**: Identify the specific HTML elements you want to scrape (e.g., product names, prices, images) from the target website. Use browser developer tools to inspect the page structure. 3. **Configure the Scraper**: Use the following Python script template to set up your scraper. Replace `[WEBSITE_URL]` and `[LIST_OF_ELEMENTS]` with your specific details: ```python from autoscraper import AutoScraper url = '[WEBSITE_URL]' wanted_list = ['[LIST_OF_ELEMENTS_TO_EXTRACT]'] scraper = AutoScraper() scraper.build(url, wanted_list) result = scraper.get_result_similar(url) ``` 4. **Save the Output**: Export the scraped data to your desired format (e.g., CSV, JSON) using Python libraries like `pandas` or `json`. For example: ```python import pandas as pd df = pd.DataFrame(result) df.to_csv('[FILE_NAME].csv', index=False) ``` 5. **Handle Errors and Updates**: Monitor the scraper for changes in website structure. Use the `scraper.get_rules()` method to update the scraper if the site layout changes. Add error handling to manage missing elements gracefully.
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.
Use Autoscraper to extract structured data from [WEBSITE_URL]. Target the following elements: [LIST_OF_ELEMENTS_TO_EXTRACT, e.g., product names, prices, descriptions, images, availability status]. Save the output as a [FORMAT, e.g., CSV, JSON] file named [FILE_NAME]. Include error handling for cases where elements are missing or the website structure changes.
```json
{
"extracted_data": [
{
"product_name": "Automa.com Domain",
"price": "$325,000",
"description": "A captivating blend of automation and innovation. Ideal for tech startups specializing in AI, robotics, or software development.",
"image_url": "https://img.atom.com/story_images/visual_images/logo-image-12216-automa.jpg?class=show",
"availability": "Available for purchase",
"payment_options": [
{"type": "Full Payment", "amount": "$325,000"},
{"type": "Installment Plan", "down_payment": "$35,000", "monthly_payment": "$7,553", "duration": "48 months"}
],
"source_url": "https://www.atom.com/domains/automa.com"
},
{
"product_name": "Escrow Service",
"price": "Not specified",
"description": "Independent escrow service for secure domain transfers. Funds held by Escrow.com until domain is successfully transferred.",
"image_url": "https://img.atom.com/public/images/new_landing/escrow-logo.svg",
"availability": "Available",
"payment_options": [
{"type": "Escrow", "platform": "Escrow.com"}
],
"source_url": "https://www.atom.com/domains/automa.com"
}
],
"metadata": {
"scraped_at": "2023-11-15T14:30:00Z",
"scraper_version": "autoscraper-2.3.1",
"website_structure_changed": false,
"notes": "All product names and prices extracted from the domain listing page. Payment options include full payment and installment plans."
}
}
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