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Matej Hamaš

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Last modified

2 months ago

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.actor/Dockerfile

1# Specify the base Docker image. You can read more about
2# the available images at https://docs.apify.com/sdk/js/docs/guides/docker-images
3# You can also use any other image from Docker Hub.
4FROM apify/actor-node:20
5
6# Check preinstalled packages
7RUN npm ls crawlee apify puppeteer playwright
8
9# Copy just package.json and package-lock.json
10# to speed up the build using Docker layer cache.
11COPY package*.json ./
12
13# Install NPM packages, skip optional and development dependencies to
14# keep the image small. Avoid logging too much and print the dependency
15# tree for debugging
16RUN npm --quiet set progress=false \
17    && npm install --omit=dev --omit=optional \
18    && echo "Installed NPM packages:" \
19    && (npm list --omit=dev --all || true) \
20    && echo "Node.js version:" \
21    && node --version \
22    && echo "NPM version:" \
23    && npm --version \
24    && rm -r ~/.npm
25
26# Next, copy the remaining files and directories with the source code.
27# Since we do this after NPM install, quick build will be really fast
28# for most source file changes.
29COPY . ./
30
31
32# Run the image.
33CMD npm start --silent

.actor/actor.json

1{
2    "actorSpecification": 1,
3    "name": "my-actor-5",
4    "title": "Scrape single page in JavaScript",
5    "description": "Scrape data from single page with provided URL.",
6    "version": "0.0",
7    "meta": {
8        "templateId": "js-start"
9    },
10    "input": "./input_schema.json",
11    "dockerfile": "./Dockerfile"
12}

.actor/input_schema.json

1{
2    "title": "Scrape data from a web page",
3    "type": "object",
4    "schemaVersion": 1,
5    "properties": {
6        "url": {
7            "title": "URL of the page",
8            "type": "string",
9            "description": "The URL of website you want to get the data from.",
10            "editor": "textfield",
11            "prefill": "https://www.apify.com/"
12        }
13    },
14    "required": ["url"]
15}

.dockerignore

1# configurations
2.idea
3
4# crawlee and apify storage folders
5apify_storage
6crawlee_storage
7storage
8
9# installed files
10node_modules
11
12# git folder
13.git

.gitignore

1# This file tells Git which files shouldn't be added to source control
2.DS_Store
3.idea
4dist
5node_modules
6apify_storage
7storage/*
8!storage/key_value_stores
9storage/key_value_stores/*
10!storage/key_value_stores/default
11storage/key_value_stores/default/*
12!storage/key_value_stores/default/INPUT.json

package.json

1{
2    "name": "js-scrape-single-page",
3    "version": "0.0.1",
4    "type": "module",
5    "description": "This is an example of an Apify actor.",
6    "engines": {
7        "node": ">=18.0.0"
8    },
9    "dependencies": {
10        "apify": "^3.2.6",
11        "axios": "^1.5.0",
12        "cheerio": "^1.0.0-rc.12"
13    },
14    "scripts": {
15        "start": "node ./src/main.js",
16        "test": "echo \"Error: oops, the actor has no tests yet, sad!\" && exit 1"
17    },
18    "author": "It's not you it's me",
19    "license": "ISC"
20}

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();