Platform Development TypeScript/Crawlee/Cheerio(test)

AUTOMATIONLEAD_GENERATIONREAL_ESTATEApify

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TypeScript Crawlee & CheerioCrawler template

A template example built with Crawlee to scrape data from a website using Cheerio wrapped into CheerioCrawler.

Included features

Apify SDK - toolkit for building Actors
Crawlee - web scraping and browser automation library
Input schema - define and easily validate a schema for your Actor's input
Dataset - store structured data where each object stored has the same attributes
Cheerio - a fast, flexible & elegant library for parsing and manipulating HTML and XML

How it works

This code is a TypeScript script that uses Crawlee CheerioCrawler framework to crawl a website and extract the data from the crawled URLs with Cheerio. It then stores the website titles in a dataset.

The crawler starts with URLs provided from the input startUrls field defined by the input schema. Number of scraped pages is limited by maxPagesPerCrawl field from input schema.
The crawler uses 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.

Resources

Video tutorial on building a scraper using CheerioCrawler
Written tutorial on building a scraper using CheerioCrawler
Web scraping with Cheerio in 2023
How to scrape a dynamic page using Cheerio
TypeScript vs. JavaScript: which to use for web scraping?
Integration with Zapier, Make, Google Drive and others
Video guide on getting scraped data using Apify API
A short guide on how to build web scrapers using code templates:

Getting started

For complete information see this article. In short, you will:

Build the Actor
Run the Actor

Pull the Actor for local development

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:
- unique name of the Actor to pull (e.g. "apify/hello-world")
- or ID of the Actor to pull (e.g. "E2jjCZBezvAZnX8Rb")
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>
```

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!