MX Records
by samdangerr132
Opens on Apify.com
About MX Records
What does this actor do?
MX Records 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
Scrape single-page in TypeScript template A template for scraping data from a single web page in TypeScript (Node.js). The URL of the web page is passed in via input, which is defined by the input schema. The template uses the Axios client to get the HTML of the page and the Cheerio library to parse the data from it. The data are then stored in a dataset where you can easily access them. The scraped data in this template are page headings but you can easily edit the code to scrape whatever you want from the page. ## Included features - Apify SDK - a toolkit for building Actors - 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 - Axios client - promise-based HTTP Client for Node.js and the browser - Cheerio - library for parsing and manipulating HTML and XML ## How it works 1. Actor.getInput() gets the input where the page URL is defined 2. axios.get(url) fetches the page 3. cheerio.load(response.data) loads the page data and enables parsing the headings 4. This parses the headings from the page and here you can edit the code to parse whatever you need from the page javascript $("h1, h2, h3, h4, h5, h6").each((_i, element) => {...}); 5. Actor.pushData(headings) stores the headings in the dataset ## Resources - Web scraping in Node.js with Axios and Cheerio - Web scraping with Cheerio in 2023 - Video tutorial on building a scraper using CheerioCrawler - Written tutorial on building a scraper using CheerioCrawler - 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: web scraper template ## Getting started For complete information see this article. To run the actor use the following command: bash apify run ## Deploy to Apify ### Connect Git repository to Apify If you've created a Git repository for the project, you can easily connect to Apify: 1. Go to Actor creation page 2. Click on Link Git Repository button ### Push project on your local machine to Apify You can also deploy the project on your local machine to Apify without the need for the Git repository. 1. Log in to Apify. You will need to provide your Apify API Token to complete this action. bash apify login 2. 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. bash apify push ## Documentation reference To learn more about Apify and Actors, take a look at the following resources: - Apify SDK for JavaScript documentation - Apify SDK for Python documentation - Apify Platform documentation - Join our developer community on Discord
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 MX Records now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- samdangerr132
- Pricing
- Paid
- Total Runs
- 349,592
- Active Users
- 11
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Apify provides a cloud platform for web scraping, data extraction, and automation. Build and run web scrapers in the cloud.
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