JP Castnet Rakuten Scraper
This actor is intended to extract data from https://item.rakuten.co.jp
Crawlee & Cheerio template
A scraper example that uses HTTP requests and Cheerio to parse HTML. It's fast, but it can't run the website's JavaScript or pass JS anti-scraping challenges.
Getting Started
Install Apify CLI
Using Homebrew
brew install apify/tap/apify-cli
Using NPM
npm -g install apify-cli
Create a new Actor using this template
apify create my-typescript-actor -t project_cheerio_crawler_ts
Run the Actor locally
1cd my-typescript-actor 2apify run
Deploy on Apify
Log in to Apify
You will need to provide your Apify API Token to complete this action.
apify login
Deploy your Actor
This command will deploy and build the Actor on the Apify Platform. You can find your newly created Actor under Actors -> My Actors.
apify push
Documentation reference
To learn more about Apify and Actors, take a look at the following resources:
Frequently Asked Questions
Is it legal to scrape job listings or public data?
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
Do I need to code to use this scraper?
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
What data does it extract?
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Can I scrape multiple pages or filter by location?
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
How do I get started?
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!