.actor

# 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:16 AS builder

# Copy just package.json and package-lock.json
# to speed up the build using Docker layer cache.
COPY package*.json ./

# Install all dependencies. Don't audit to speed up the installation.
RUN npm install --include=dev --audit=false

# Next, copy the source files using the user set
# in the base image.
COPY . ./

# Install all dependencies and build the project.
# Don't audit to speed up the installation.
RUN npm run build

# Create final image
FROM apify/actor-node:16

# 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 debugging
RUN 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

# Copy built JS files from builder image
COPY --from=builder /usr/src/app/dist ./dist

# 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 run start:prod --silent


.actor/Dockerfile

getting-started-typescript

Converted array results

Getting Started with TypeScript

.actor/actor.json

Source Array for Excel Conversion

Add two integers

.actor/input_schema.json

// This is the main Node.js source code file of your actor.
// An actor is a program that takes an input and produces an output.

// For more information, see https://docs.apify.com/sdk/js/
import { Actor } from 'apify';

interface InputSchema {
 firstNumber: number;
 secondNumber: number;
}

await Actor.init();

console.log('Loading input');
// Structure of input is defined in .actor/input_schema.json.
const input = await Actor.getInput<InputSchema>();
console.log('First number: ', input?.firstNumber);
console.log('Second number: ', input?.secondNumber);

// 👉 Complete the code so that result is
// the sum of firstNumber and secondNumber.
// 👇👇👇👇👇👇👇👇👇👇
const result = null;
// 👆👆👆👆👆👆👆👆👆👆

console.log('The result is: ', result);

// Structure of output is defined in .actor/actor.json
await Actor.pushData({
 firstNumber: input?.firstNumber,
 secondNumber: input?.secondNumber,
 sum: result,
});

await Actor.exit();

src/main.ts

# configurations
.idea

# crawlee and apify storage folders
apify_storage
crawlee_storage
storage

# installed files
node_modules

# git folder
.git


.dockerignore

package.json

tsconfig.json

How to use: <ol><li>Configure the actor's input by providing the array of objects.</li><li>Run the actor and wait for it to complete.</li><li>Press on the "Export" button.</li><li>Select the "Excel" format.</li><li>Press on the "Download" button to download the Excel file.</li></ol>

An array of objects to be converted to Excel. Each object represents a row in the spreadsheet, and its properties correspond to the columns.

Array to Excel

Apify Actor: Array to Excel

Input

Output

Usage

Where next?