This actor is intended to extract data from https://www.costco.co.jp
A template example built with Crawlee to scrape data from a website using Cheerio wrapped into CheerioCrawler.
This code is a TypeScript script that uses Crawlee CheerioCralwer framework to crawl a website and extract the data from the crawled URLs with Cheerio. It then stores the website titles in a dataset.
startUrls
field defined by the input schema. Number of scraped pages is limited by maxPagesPerCrawl
field from input schema.requestHandler
for each URL to extract the data from the page with the Cheerio library and to save the title and URL of each page to the dataset. It also logs out each result that is being saved.
For complete information see this article. To run the actor use the following command:
apify run
If you've created a Git repository for the project, you can easily connect to Apify:
You can also deploy the project on your local machine to Apify without the need for the Git repository.
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
To learn more about Apify and Actors, take a look at the following resources:
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.
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.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
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!