test-issues-on-by-default

# This is a template for a Dockerfile used to run acts in Actor system.
# The base image name below is set during the act build, based on user settings.
# IMPORTANT: The base image must set a correct working directory, such as /usr/src/app or /home/user
FROM apify/actor-node

# Second, copy just package.json and package-lock.json since it should be
# the only file that affects "npm install" in the next step, to speed up the build
COPY package*.json ./

# Install NPM packages, skip optional and development dependencies to
# keep the image small. Avoid logging too much and print the dependency
# tree for debugging
RUN npm --quiet set progress=false \
 && npm install --only=prod --no-optional \
 && echo "Installed NPM packages:" \
 && (npm list --all || true) \
 && echo "Node.js version:" \
 && node --version \
 && echo "NPM version:" \
 && npm --version

# Copy source code to container
# Do this in the last step, to have fast build if only the source code changed
COPY  . ./

# NOTE: The CMD is already defined by the base image.
# Uncomment this for local node inspector debugging:
# CMD [ "node", "--inspect=0.0.0.0:9229", "main.js" ]

{
    "name": "apify-project",
    "version": "0.0.1",
    "description": "",
    "author": "It's not you it's me",
    "license": "ISC",
    "dependencies": {
        "apify": "latest",
        "cheerio": "latest"
    },
    "scripts": {
        "start": "node main.js"
    }
}

1// Import Apify SDK. For more information, see https://sdk.apify.com/
2const Apify = require('apify');
3const cheerio = require('cheerio');
4
5Apify.main(async () => {
6    // Get input of the actor.
7    // If you'd like to have your input checked and have Apify display
8    // a user interface for it, add INPUT_SCHEMA.json file to your actor.
9    // For more information, see https://apify.com/docs/actor/input-schema
10    const input = await Apify.getInput();
11    console.log('Actor input:');
12    console.dir(input);
13
14    // Fetch a HTML of a web page.
15    const url = input.url || 'http://www.example.com';
16    const { body } = await Apify.utils.requestAsBrowser({ url });
17
18    // Parse the HTML
19    const $ = cheerio.load(body);
20    const pageTitle = $('title').text();
21    const caption = $('h1').text();
22
23    // Save the actor output.
24    const output = {
25        pageTitle,
26        caption,
27        crawledAt: new Date(),
28        body,
29    };
30    console.log('Actor output:');
31    console.dir(output);
32    await Apify.setValue('OUTPUT', output);
33});