Instagram Posts to Comments Bridge
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See alternative ActorsInstagram Posts to Comments Bridge
lukaskrivka/instagram-posts-to-comments
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
Dockerfile
1# First, specify the base Docker image. You can read more about
2# the available images at https://sdk.apify.com/docs/guides/docker-images
3# You can also use any other image from Docker Hub.
4FROM apify/actor-node:16
5
6# Second, copy just package.json and package-lock.json since those are the only
7# files that affect "npm install" in the next step, to speed up the build.
8COPY package*.json ./
9
10# Install NPM packages, skip optional and development dependencies to
11# keep the image small. Avoid logging too much and print the dependency
12# tree for debugging
13RUN npm --quiet set progress=false \
14 && npm install --only=prod --no-optional \
15 && echo "Installed NPM packages:" \
16 && (npm list || true) \
17 && echo "Node.js version:" \
18 && node --version \
19 && echo "NPM version:" \
20 && npm --version
21
22# Next, copy the remaining files and directories with the source code.
23# Since we do this after NPM install, quick build will be really fast
24# for most source file changes.
25COPY . ./
26
27# Optionally, specify how to launch the source code of your actor.
28# By default, Apify's base Docker images define the CMD instruction
29# that runs the Node.js source code using the command specified
30# in the "scripts.start" section of the package.json file.
31# In short, the instruction looks something like this:
32#
33# CMD npm startmain.js
1const Apify = require('apify');
2
3const { log } = Apify.utils;
4
5Apify.main(async () => {
6 let {
7 datasetId,
8 resource,
9 taskIdOrName
10 } = 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 directly
31 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});package.json
1{
2 "name": "my-actor",
3 "version": "0.0.1",
4 "dependencies": {
5 "apify": "^1.2.1"
6 },
7 "scripts": {
8 "start": "node main.js"
9 },
10 "author": "Me!"
11}Developer
Lukáš KřivkaMaintained by Community
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