Usage testing actor

Pricing

Pay per usage

Try for free

Go to Apify Store

Usage testing actor

Try for free

Actor for testing different platform usage types

Pricing

Pay per usage

Rating

0.0

(0)

Developer

František Nesveda

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

3 years ago

Last modified

Testing PPR actor

frantisek/testing-ppr-actor

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Testing ppr actor

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Zuzana Řezáčová

4.0

PPR testing actor

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Example actor paid per result

mhamas/example-actor-paid-per-result

This is an example actor demonstrating "pay per result" model. When you run this actor, you are only charged for the results it produces, not for the underlying platform usage.

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Testing rental actor 2

knowing_didgeridoo/testing-rental-actor-2

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Testing GIT actor - renamed

knowing_didgeridoo/testing-git-actor

Testing actor from GIT

Jan Novotny

# 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 it should be # the only file that affects "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 --only=prod --no-optional --all || 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'); 2const axios = require('axios'); 3 4const fs = require('fs'); 5const megabyteFile = fs.readFileSync('./megabyte_image.jpeg'); 6 7Apify.main(async () => { 8 // 6 dataset writes 9 console.log('Writing to dataset...') 10 await Apify.pushData([{ a: 1 }]); 11 await Apify.pushData([{ a: 1 }, { a: 1 }]); 12 await Apify.pushData([{ a: 1 }, { a: 1 }, { a: 1 }]); 13 14 // console.log('Generating data...') 15 // const megabyteBuffer = Buffer.from(Array.from({ length: 1024 * 1024 }, () => Math.floor(Math.random() * 256))); 16 // console.log(`Generated data of length ${megabyteBuffer.length} bytes`); 17 18 // 1 key-value store write is platform storing run input 19 // 3 key-value store writes, 3 MB internal transfer 20 console.log('Writing to key-value store...') 21 await Apify.setValue('OUTPUT', megabyteFile, { contentType: 'image/jpeg' }); 22 await Apify.setValue('OUTPUT', megabyteFile, { contentType: 'image/jpeg' }); 23 await Apify.setValue('OUTPUT', megabyteFile, { contentType: 'image/jpeg' }); 24 25 // 2 key-value store writes, 2 MB internal transfer 26 console.log('Reading from key-value store...') 27 await Apify.getValue('OUTPUT'); 28 await Apify.getValue('OUTPUT'); 29 30 // 6 dataset reads 31 console.log('Reading from dataset...') 32 // Wait for MongoUpdateThrottled 33 await Apify.utils.sleep(5000); 34 const dataset = await Apify.openDataset(); 35 const datasetData = await dataset.getData(); 36 37 // 1 key-value store list 38 const keyValueStore = await Apify.openKeyValueStore(); 39 await keyValueStore.forEachKey(async (key, index, info) => { 40 console.log(`Key at ${index}: ${key} has size ${info.size}`); 41 }); 42 43 // 3 request queue writes 44 console.log('Writing to request queue...') 45 const queue = await Apify.openRequestQueue(); 46 await queue.addRequest({ url: 'http://example.com/aaa' }); 47 await queue.addRequest({ url: 'http://example.com/bbb' }); 48 await queue.addRequest({ url: 'http://example.com/foo/bar' }, { forefront: true }); 49 50 // 2 request queue reads 51 console.log('Reading from request queue...') 52 const request = await queue.fetchNextRequest() 53 await queue.getRequest(request.id); 54 55 // 1 MB external transfer 56 console.log('Doing external network request...') 57 await axios.post('https://example.com', megabyteFile); 58});

{ "name": "project-empty", "version": "0.0.1", "description": "This is a boilerplate of an Apify actor.", "dependencies": { "apify": "^2.3.2" }, "devDependencies": { "@apify/eslint-config": "^0.1.3", "eslint": "^7.0.0" }, "scripts": { "start": "node main.js", "lint": "./node_modules/.bin/eslint ./src --ext .js,.jsx", "lint:fix": "./node_modules/.bin/eslint ./src --ext .js,.jsx --fix", "test": "echo \"Error: oops, the actor has no tests yet, sad!\" && exit 1" }, "author": "It's not you it's me", "license": "ISC" }

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