# Specify the base Docker image. You can read more about
# the available images at https://docs.apify.com/sdk/js/docs/guides/docker-images
# You can also use any other image from Docker Hub.
FROM apify/actor-node:20

# Check preinstalled packages
RUN npm ls crawlee apify puppeteer playwright

# Copy just package.json and package-lock.json
# to speed up the build using Docker layer cache.
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 --omit=dev --omit=optional \
    && echo "Installed NPM packages:" \
    && (npm list --omit=dev --all || true) \
    && echo "Node.js version:" \
    && node --version \
    && echo "NPM version:" \
    && npm --version \
    && rm -r ~/.npm

# Next, copy the remaining files and directories with the source code.
# Since we do this after NPM install, quick build will be really fast
# for most source file changes.
COPY . ./

# Create and run as a non-root user.
RUN adduser -h /home/apify -D apify && \
    chown -R apify:apify ./
USER apify

# Run the image.
CMD npm start --silent

.actor/actor.json

{
    "actorSpecification": 1,
    "name": "my-actor",
    "title": "Scrape single page in JavaScript",
    "description": "Scrape data from single page with provided URL.",
    "version": "0.0",
    "meta": {
        "templateId": "js-start"
    },
    "input": "./input_schema.json",
    "dockerfile": "./Dockerfile"
}

.actor/input_schema.json

{
    "title": "Scrape data from a web page",
    "type": "object",
    "schemaVersion": 1,
    "properties": {
        "url": {
            "title": "URL of the page",
            "type": "string",
            "description": "The URL of website you want to get the data from.",
            "editor": "textfield",
            "prefill": "https://www.apify.com/"
        }
    },
    "required": ["url"]
}

.dockerignore

# configurations
.idea

# crawlee and apify storage folders
apify_storage
crawlee_storage
storage

# installed files
node_modules

# git folder
.git

.gitignore

# This file tells Git which files shouldn't be added to source control
.DS_Store
.idea
dist
node_modules
apify_storage
storage/*
!storage/key_value_stores
storage/key_value_stores/*
!storage/key_value_stores/default
storage/key_value_stores/default/*
!storage/key_value_stores/default/INPUT.json

package.json

{
    "name": "js-scrape-single-page",
    "version": "0.0.1",
    "type": "module",
    "description": "This is an example of an Apify actor.",
    "engines": {
        "node": ">=18.0.0"
    },
    "dependencies": {
        "apify": "^3.2.6",
        "axios": "^1.5.0",
        "cheerio": "^1.0.0-rc.12"
    },
    "scripts": {
        "start": "node ./src/main.js",
        "test": "echo \"Error: oops, the actor has no tests yet, sad!\" && exit 1"
    },
    "author": "It's not you it's me",
    "license": "ISC"
}

src/main.js

1// Axios - Promise based HTTP client for the browser and node.js (Read more at https://axios-http.com/docs/intro).
2import axios from 'axios';
3// Cheerio - The fast, flexible & elegant library for parsing and manipulating HTML and XML (Read more at https://cheerio.js.org/).
4import * as cheerio from 'cheerio';
5// Apify SDK - toolkit for building Apify Actors (Read more at https://docs.apify.com/sdk/js/).
6import { Actor } from 'apify';
7// this is ESM project, and as such, it requires you to specify extensions in your relative imports
8// read more about this here: https://nodejs.org/docs/latest-v18.x/api/esm.html#mandatory-file-extensions
9// import { router } from './routes.js';
10
11// The init() call configures the Actor for its environment. It's recommended to start every Actor with an init().
12await Actor.init();
13
14// Structure of input is defined in input_schema.json
15const input = await Actor.getInput();
16const { url } = input;
17
18// Fetch the HTML content of the page.
19const response = await axios.get(url);
20
21// Parse the downloaded HTML with Cheerio to enable data extraction.
22const $ = cheerio.load(response.data);
23
24// Extract all headings from the page (tag name and text).
25const headings = [];
26$("h1, h2, h3, h4, h5, h6").each((i, element) => {
27    const headingObject = {
28        level: $(element).prop("tagName").toLowerCase(),
29        text: $(element).text(),
30    };
31    console.log("Extracted heading", headingObject);
32    headings.push(headingObject);
33});
34
35// Save headings to Dataset - a table-like storage.
36await Actor.pushData(headings);
37
38// Gracefully exit the Actor process. It's recommended to quit all Actors with an exit().
39await Actor.exit();

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# Specify the base Docker image. You can read more about # the available images at https://docs.apify.com/sdk/js/docs/guides/docker-images # You can also use any other image from Docker Hub. FROM apify/actor-node:20 # Check preinstalled packages RUN npm ls crawlee apify puppeteer playwright # Copy just package.json and package-lock.json # to speed up the build using Docker layer cache. 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 --omit=dev --omit=optional \ && echo "Installed NPM packages:" \ && (npm list --omit=dev --all || true) \ && echo "Node.js version:" \ && node --version \ && echo "NPM version:" \ && npm --version \ && rm -r ~/.npm # Next, copy the remaining files and directories with the source code. # Since we do this after NPM install, quick build will be really fast # for most source file changes. COPY . ./ # Create and run as a non-root user. RUN adduser -h /home/apify -D apify && \ chown -R apify:apify ./ USER apify # Run the image. CMD npm start --silent

{ "actorSpecification": 1, "name": "my-actor", "title": "Scrape single page in JavaScript", "description": "Scrape data from single page with provided URL.", "version": "0.0", "meta": { "templateId": "js-start" }, "input": "./input_schema.json", "dockerfile": "./Dockerfile" }

{ "title": "Scrape data from a web page", "type": "object", "schemaVersion": 1, "properties": { "url": { "title": "URL of the page", "type": "string", "description": "The URL of website you want to get the data from.", "editor": "textfield", "prefill": "https://www.apify.com/" } }, "required": ["url"] }

# This file tells Git which files shouldn't be added to source control .DS_Store .idea dist node_modules apify_storage storage/* !storage/key_value_stores storage/key_value_stores/* !storage/key_value_stores/default storage/key_value_stores/default/* !storage/key_value_stores/default/INPUT.json

{ "name": "js-scrape-single-page", "version": "0.0.1", "type": "module", "description": "This is an example of an Apify actor.", "engines": { "node": ">=18.0.0" }, "dependencies": { "apify": "^3.2.6", "axios": "^1.5.0", "cheerio": "^1.0.0-rc.12" }, "scripts": { "start": "node ./src/main.js", "test": "echo \"Error: oops, the actor has no tests yet, sad!\" && exit 1" }, "author": "It's not you it's me", "license": "ISC" }

1// Axios - Promise based HTTP client for the browser and node.js (Read more at https://axios-http.com/docs/intro). 2import axios from 'axios'; 3// Cheerio - The fast, flexible & elegant library for parsing and manipulating HTML and XML (Read more at https://cheerio.js.org/). 4import * as cheerio from 'cheerio'; 5// Apify SDK - toolkit for building Apify Actors (Read more at https://docs.apify.com/sdk/js/). 6import { Actor } from 'apify'; 7// this is ESM project, and as such, it requires you to specify extensions in your relative imports 8// read more about this here: https://nodejs.org/docs/latest-v18.x/api/esm.html#mandatory-file-extensions 9// import { router } from './routes.js'; 10 11// The init() call configures the Actor for its environment. It's recommended to start every Actor with an init(). 12await Actor.init(); 13 14// Structure of input is defined in input_schema.json 15const input = await Actor.getInput(); 16const { url } = input; 17 18// Fetch the HTML content of the page. 19const response = await axios.get(url); 20 21// Parse the downloaded HTML with Cheerio to enable data extraction. 22const $ = cheerio.load(response.data); 23 24// Extract all headings from the page (tag name and text). 25const headings = []; 26$("h1, h2, h3, h4, h5, h6").each((i, element) => { 27 const headingObject = { 28 level: $(element).prop("tagName").toLowerCase(), 29 text: $(element).text(), 30 }; 31 console.log("Extracted heading", headingObject); 32 headings.push(headingObject); 33}); 34 35// Save headings to Dataset - a table-like storage. 36await Actor.pushData(headings); 37 38// Gracefully exit the Actor process. It's recommended to quit all Actors with an exit(). 39await Actor.exit();

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.dockerignore

.gitignore

package.json

src/main.js