Instagram Posts to Comments Bridge

# 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 debugging
RUN 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 start

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});

{
    "name": "my-actor",
    "version": "0.0.1",
    "dependencies": {
        "apify": "^1.2.1"
    },
    "scripts": {
        "start": "node main.js"
    },
    "author": "Me!"
}