Pricing
Pay per usage
Scrape Data from Google search with use of Designation and Location.
0.0 (0)
Pricing
Pay per usage
7
308
3
Last modified
a year ago
# 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
# 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 debuggingRUN 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 . ./
# Run the image.CMD npm start --silent{ "actorSpecification": 1, "name": "my-actor", "title": "Project Cheerio Crawler Javascript", "description": "Crawlee and Cheerio project in javascript.", "version": "0.0", "meta": { "templateId": "js-crawlee-cheerio" }, "input": "./input_schema.json", "storages": { "dataset": "./dataset_schema.json" }, "dockerfile": "./Dockerfile"}{ "actorSpecification": 1, "fields": { "LinkedIn URL": { "type": "string", "description": "The URL of the LinkedIn profile." } }, "views": { "overview": { "title": "Overview", "transformation": { "fields": ["LinkedIn URL"] }, "display": { "component": "table", "properties": { "LinkedIn URL": { "label": "LinkedIn Profile URL", "format": "link" } } } } }}{ "title": "Scrape LinkedIn profiles based on keywords", "type": "object", "schemaVersion": 1, "properties": { "keywords": { "title": "Search Keywords", "type": "array", "description": "Enter the keywords to search for LinkedIn profiles, e.g., job titles, and locations.", "editor": "stringList", "items": { "type": "string" }, "prefill": ["chief product officer", "united states"] }, "numPages": { "title": "Number of Pages", "type": "integer", "description": "The number of pages to scrape (each page corresponds to a set of search results).", "editor": "number", "minimum": 1, "default": 1 } }, "required": ["keywords", "numPages"]}{ "title": "LinkedIn Profile URLs", "type": "array", "items": { "type": "object", "properties": { "LinkedIn URL": { "type": "string", "description": "The URL of the LinkedIn profile." } }, "required": ["LinkedIn URL"] }}1import { Actor, log } from 'apify';2import { CheerioCrawler } from 'crawlee';3
4await Actor.init();5
6try {7 const input = await Actor.getInput();8 const keywords = input.keywords ? input.keywords.slice(0, 2) : ["chief product officer", "united states"];9 const numPages = input.numPages || 1;10
11 const baseUrl = 'https://www.google.com/search?q=site%3Alinkedin.com%2Fin%2F+';12 const formattedKeywords = keywords.map(keyword => `%22${keyword.replace(/ /g, "+")}%22`).join('+');13 const headers = {14 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'15 };16
17 const linkedinUrlsSet = new Set();18
19 // Generate URLs for the number of pages specified20 const urls = [];21 for (let page = 0; page < numPages; page++) {22 const start = page * 10;23 urls.push(`${baseUrl}${formattedKeywords}&start=${start}`);24 }25
26 const requestQueue = await Actor.openRequestQueue();27 for (const url of urls) {28 await requestQueue.addRequest({ url, headers });29 }30
31 const crawler = new CheerioCrawler({32 requestQueue,33 requestHandler: async ({ request, $ }) => {34 console.log(`Processing ${request.url}...`);35
36 $('a').each((index, element) => {37 const href = $(element).attr('href');38 const match = href && href.match(/(https?:\/\/www\.linkedin\.com\/in\/[^&]+)/);39 if (match) {40 const linkedinUrl = match[1];41 linkedinUrlsSet.add(linkedinUrl); // Add to set to ensure uniqueness42 }43 });44 },45 });46
47 await crawler.run();48
49 // Convert set to array for pushing to dataset50 const linkedinUrlsArray = Array.from(linkedinUrlsSet);51
52 // Push unique results to dataset53 const results = linkedinUrlsArray.map(url => ({ "LinkedIn URL": url }));54 await Actor.pushData(results);55
56 log.info(`Found and saved ${linkedinUrlsSet.size} unique LinkedIn URLs based on the keywords across ${numPages} pages.`);57} catch (error) {58 console.error('Error during actor run:', error);59 throw error;60}61
62await Actor.exit();# configurations.idea
# crawlee and apify storage foldersapify_storagecrawlee_storagestorage
# installed filesnode_modules
# git folder.gitroot = true
[*]indent_style = spaceindent_size = 4charset = utf-8trim_trailing_whitespace = trueinsert_final_newline = trueend_of_line = lf{ "extends": "@apify", "root": true}# This file tells Git which files shouldn't be added to source control
.DS_Store.ideadistnode_modulesapify_storagestorage{ "name": "crawlee-cheerio-javascript", "version": "0.0.1", "type": "module", "description": "This is a boilerplate of an Apify actor.", "engines": { "node": ">=18.0.0" }, "dependencies": { "apify": "^3.1.10", "crawlee": "^3.5.4", "googleapis": "^118.0.0" }, "devDependencies": { "@apify/eslint-config": "^0.4.0", "eslint": "^8.50.0" }, "scripts": { "start": "node src/main.js", "lint": "eslint ./src --ext .js,.jsx", "lint:fix": "eslint ./src --ext .js,.jsx --fix", "test": "echo \"Error: oops, the actor has no tests yet, sad!\" && exit 1" }, "author": "It's not you it's me", "license": "ISC"}