This template example was built with Crawlee to scrape data from a website using Cheerio wrapped into CheerioCrawler.
This code is a JavaScript script that uses Cheerio to scrape data from a website. 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 the 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. In short, you will:
If you would like to develop locally, you can pull the existing Actor from Apify console using Apify CLI:
Install apify-cli
Using Homebrew
brew install apify-cli
Using NPM
npm -g install apify-cli
Pull the Actor by its unique <ActorId>
, which is one of the following:
You can find both by clicking on the Actor title at the top of the page, which will open a modal containing both Actor unique name and Actor ID.
This command will copy the Actor into the current directory on your local machine.
apify pull <ActorId>
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!