Article Text Extractor

# 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-chrome:v0.21.10

# 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 --chown=myuser:myuser . ./

# 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": "0.21.10",
        "request-promise": "latest",
        "unfluff": "latest"
    },
    "scripts": {
        "start": "node main.js"
    }
}

1const Apify = require('apify');
2const request = require('request-promise');
3const extractor = require('unfluff');
4
5Apify.main(async () => {
6    const { url } = await Apify.getValue('INPUT');
7    
8    if (!url) throw new Error('INPUT.url must be provided!!!');
9    
10    console.log('Opening browser ...');
11    const browser = await Apify.launchPuppeteer();
12    
13    console.log('Loading url ...');
14    const page = await browser.newPage();
15    await page.goto(url, { waitUntil: 'domcontentloaded' });
16    const html = await page.evaluate(() => document.documentElement.outerHTML);
17
18    await Apify.setValue('page.html', html, { contentType: 'text/html' });
19    
20    console.log('Extracting article data and saving results to key-value store ...');
21    await Apify.setValue('OUTPUT', extractor(html));
22    
23    console.log('Done!');
24});