Pricing
Pay per usage
This simple actor helps you to get comments from Instagram user profiles. It acts as a bridge between one run scraping posts and second one scraping comments from these posts
0.0 (0)
Pricing
Pay per usage
2
64
5
Last modified
3 years ago
# First, specify the base Docker image. You can read more about# the available images at https://sdk.apify.com/docs/guides/docker-images# You can also use any other image from Docker Hub.FROM apify/actor-node:16
# Second, copy just package.json and package-lock.json since those are the only# files that affect "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 debuggingRUN npm --quiet set progress=false \ && npm install --only=prod --no-optional \ && echo "Installed NPM packages:" \ && (npm list || true) \ && echo "Node.js version:" \ && node --version \ && echo "NPM version:" \ && npm --version
# 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 . ./
# Optionally, specify how to launch the source code of your actor.# By default, Apify's base Docker images define the CMD instruction# that runs the Node.js source code using the command specified# in the "scripts.start" section of the package.json file.# In short, the instruction looks something like this:## CMD npm start1const Apify = require('apify');2
3const { log } = Apify.utils;4
5Apify.main(async () => {6 let {7 datasetId,8 resource,9 taskIdOrName10 } = await Apify.getInput();11 if (!datasetId && resource) {12 datasetId = resource.defaultDatasetId;13 }14
15 log.info(`Loading dataset: ${datasetId}`)16
17 const dataset = await Apify.openDataset(datasetId);18 const { items } = await dataset.getData({19 clean: true,20 fields: ['url']21 });22
23 log.info(`Loaded ${items.length} URLs from the dataset`);24
25 const directUrls = items.map((item) => item.url);26
27 log.info(`Calling actor to scrape posts`);28
29 let run;30 // User can provide task to call, otherwise we call actor directly31 if (taskIdOrName) {32 run = await Apify.callTask(33 taskIdOrName,34 { directUrls, resultsType: 'comments'},35 { waitSecs: 0 }36 )37 } else {38 const actorInput = {39 directUrls,40 resultsType: 'comments',41 "proxy": {42 "useApifyProxy": true,43 "apifyProxyGroups": [44 "RESIDENTIAL"45 ]46 },47 "resultsLimit": 1000,48 }49 run = await Apify.call(50 'jaroslavhejlek/instagram-scraper',51 actorInput,52 { waitSecs: 0 }53 )54 }55
56 log.info(`Started run to scrape posts with ID: ${run.id}`);57 log.info(`You can view the run here:`);58 log.info(`https://my.apify.com/actors/shu8hvrXbJbY3Eb9W#/runs/${run.id}`)59
60});{ "name": "my-actor", "version": "0.0.1", "dependencies": { "apify": "^1.2.1" }, "scripts": { "start": "node main.js" }, "author": "Me!"}