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Instagram Scraper - Follower & Following


Instagram Profile(s) Following and Followers in bulk (up to 10x thousands) results, NO RESIDENTIAL proxies needed and you should be able to get around 7.000 - 10.000 items per hour!

No credit card required

Author's avatarAlexey Udovydchenko
  • Modified
  • Users157
  • Runs407
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Instagram Scraper - Follower & Following


# First, specify the base Docker image. You can read more about
# the available images at
# 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

# My beautiful actor

Contains a documentation what your actor does and how to use it,
which is then displayed in the app or library. It's always a good
idea to write a good, in a few months not even you
will remember all the details about the actor.

You can use [Markdown](
language for rich formatting.


// This is the main Node.js source code file of your actor.
// It is referenced from the "scripts" section of the package.json file.

const Apify = require('apify');

Apify.main(async () => {
    // Get input of the actor.
    // If you'd like to have your input checked and generate a user
    // interface for it, add INPUT_SCHEMA.json file to your actor.
    // For more information, see
    const input = await Apify.getInput();

    // Do something useful here...

    // Save output
    const output = {
        receivedInput: input,
        message: 'Hello sir!',
    await Apify.setValue('OUTPUT', output);


    "name": "my-actor",
    "version": "0.0.1",
    "dependencies": {
        "apify": "^2.2.2"
    "scripts": {
        "start": "node main.js"
    "author": "Me!"