Sort Dataset Items
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Sort Dataset Items
lukaskrivka/sort-dataset-items
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Add this actor as a webhook to your scraper to sort the dataset by index field
.editorconfig
1root = true
2
3[*]
4indent_style = space
5indent_size = 4
6charset = utf-8
7trim_trailing_whitespace = true
8insert_final_newline = true
9end_of_line = lf
.eslintrc
1{
2 "extends": "@apify"
3}
.gitignore
1# This file tells Git which files shouldn't be added to source control
2
3.idea
4node_modules
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 it should be
7# the only file that affects "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 --only=prod --no-optional --all || 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 start
INPUT_SCHEMA.json
1{
2 "title": "Input schema for the apify_project actor.",
3 "type": "object",
4 "schemaVersion": 1,
5 "properties": {
6 "datasetId": {
7 "title": "Dataset Id",
8 "type": "string",
9 "description": "Dataset Id of dataset to sort. You don't need to provide this if you use a webhook.",
10 "editor": "textfield"
11 }
12 },
13 "required": []
14}
apify.json
1{
2 "env": { "npm_config_loglevel": "silent" }
3}
main.js
1const Apify = require('apify');
2
3const transformFunction = (items) => {
4 items.sort((a, b) => {
5 return a.index - b.index;
6 })
7 return items;
8}
9
10Apify.main(async () => {
11 // Get input of the actor (here only for demonstration purposes).
12 const input = await Apify.getInput();
13 console.log('Input:');
14 console.dir(input);
15
16 let {
17 // either called from webhook or directly
18 resource,
19 datasetId
20 } = input;
21
22 if (resource) {
23 datasetId = resource.defaultDatasetId;
24 }
25
26 const actorInput = {
27 datasetIds: [datasetId],
28 preDedupTransformFunction: transformFunction,
29 };
30
31 await Apify.metamorph(
32 'lukaskrivka/dedup-datasets',
33 actorInput,
34 )
35});
package.json
1{
2 "name": "project-empty",
3 "version": "0.0.1",
4 "description": "This is a boilerplate of an Apify actor.",
5 "dependencies": {
6 "apify": "^2.0.7"
7 },
8 "devDependencies": {
9 "@apify/eslint-config": "^0.1.3",
10 "eslint": "^7.0.0"
11 },
12 "scripts": {
13 "start": "node main.js",
14 "lint": "./node_modules/.bin/eslint ./src --ext .js,.jsx",
15 "lint:fix": "./node_modules/.bin/eslint ./src --ext .js,.jsx --fix",
16 "test": "echo \"Error: oops, the actor has no tests yet, sad!\" && exit 1"
17 },
18 "author": "It's not you it's me",
19 "license": "ISC"
20}
Developer
Maintained by Community
Actor Metrics
1 monthly user
-
3 stars
Created in May 2022
Modified a year ago
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