test-issues-on-by-default
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test-issues-on-by-default
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Dockerfile
# 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/userFROM 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 buildCOPY 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 debuggingRUN 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 changedCOPY . ./
# 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" ]package.json
{ "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" }}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 display8 // a user interface for it, add INPUT_SCHEMA.json file to your actor.9 // For more information, see https://apify.com/docs/actor/input-schema10 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 HTML19 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});
