JP Castnet Abcmart Scraper
by styleindexamerica
Extract product data, prices, and images from ABC-MART's Japanese site (abc-mart.net) for market research, price tracking, and trend analysis. Automated, structured output.
Opens on Apify.com
About JP Castnet Abcmart Scraper
Need to pull product data from ABC-MART's Japanese site? I built this scraper specifically for abc-mart.net because their catalog is a goldmine for sneaker and apparel trends, but getting the data out manually is a pain. It handles the site's structure to extract details like product names, prices, images, and stock status. You just give it a starting URL or a search term, and it systematically crawls the relevant pages, dealing with pagination and product variants so you don't have to. I use it to track pricing changes and competitor assortments. It outputs clean, structured data in JSON or CSV, ready to feed into your spreadsheet, database, or analytics dashboard. Whether you're doing market research, building a price comparison tool, or just keeping an eye on the latest releases, this scraper automates the tedious part. It runs reliably on the Apify platform, so you can schedule it or integrate it into a larger workflow. It's a straightforward tool that does one job well: getting you the data from ABC-MART without the hassle.
What does this actor do?
JP Castnet Abcmart Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
JP Castnet Abcmart Scraper
An Apify Actor built with TypeScript and Crawlee's CheerioCrawler to scrape product data from the Abcmart website. It uses Cheerio for fast HTML parsing and outputs structured data to a dataset.
Key Features
- Built on Apify SDK and Crawlee for reliable web scraping.
- Uses CheerioCrawler for efficient, server-side HTML scraping.
- Configurable via an input schema (start URLs, crawl limits).
- Stores clean, structured records in an Apify Dataset.
- Written in TypeScript for better maintainability.
How It Works
The Actor starts crawling from URLs provided in the startUrls input. For each page, it uses Cheerio to parse the HTML and extracts product data (like titles, URLs, and other relevant fields). The number of pages scraped can be limited using maxPagesPerCrawl. Extracted data is saved to a dataset and is accessible via the Apify platform or API.
Input/Output
Input (via input schema):
- startUrls: Array of URLs to begin scraping.
- maxPagesPerCrawl (optional): Limit the total number of pages scraped.
Output:
The Actor stores each product/item as a separate object in the Apify Dataset. Typical output includes:
- Product title
- Product URL
- Price
- Additional fields specific to Abcmart's page structure
How to Use
Run locally:
apify run
Deploy to Apify:
1. Log in with your API token:
apify login
- Push the Actor to your Apify account:
apify push
Alternatively, connect a Git repository directly from the Actor creation page.
Resources
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try JP Castnet Abcmart Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- styleindexamerica
- Pricing
- Paid
- Total Runs
- 2,310
- Active Users
- 6
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