Input Schema Test Actor

A comprehensive test Actor for validating all Apify input schema field types and editors. This Actor serves as a reference implementation and testing ground for the Apify platform's input schema capabilities.

Features

• Apify SDK - Toolkit for building Actors
• Crawlee - Web scraping and browser automation library

Input Schema Reference

The input schema is organized into logical sections. Each section tests different field types and editor configurations. The individual schema files are located in .actor/input_schemas/.

String Fields

Testing all string type editors and variations.

Field	Editor	Description
stringTextfield	textfield	Basic string input with textfield editor
stringTextfieldWithPattern	textfield	String with regex pattern validation (alphanumeric only, 3-20 chars)
stringTextarea	textarea	Multi-line text input
stringJavascript	javascript	JavaScript code editor with syntax highlighting
stringPython	python	Python code editor with syntax highlighting
stringSelectEnum	select	Dropdown select with fixed enum values
stringSelectSuggested	select	Dropdown with suggested values but allows custom input
stringDateAbsolute	datepicker	Date picker for absolute dates only
stringDateRelative	datepicker	Date picker for relative dates only (e.g., '7 days ago')
stringDateAbsoluteOrRelative	datepicker	Date picker allowing both absolute and relative dates
stringFileupload	fileupload	Upload a single file (string type)
stringSecret	textfield	Secret string input (masked in UI, isSecret: true)

Schema file: .actor/input_schemas/string_fields.json

Numeric Fields

Testing integer and number (float) types.

Field	Type	Description
integerBasic	integer	Basic integer input
integerWithRange	integer	Integer with min/max constraints and unit
numberBasic	number	Basic floating point number
numberWithRange	number	Float with min/max constraints and unit

Schema file: .actor/input_schemas/numeric_fields.json

Boolean Fields

Testing checkbox and grouped boolean options.

Field	Description
booleanBasic	Basic checkbox
booleanGrouped1	First option in grouped checkboxes (Feature Toggles group)
booleanGrouped2	Second option in grouped checkboxes (Feature Toggles group)

Schema file: .actor/input_schemas/boolean_fields.json

Object Fields

Testing object type with various editors.

Field	Editor	Description
objectJson	json	Basic JSON object input
objectJsonWithConstraints	json	Object with patternKey, patternValue, and property count constraints
proxyConfiguration	proxy	Apify proxy settings
objectSchemaBased	schemaBased	Object with sub-properties rendered individually
object.with	json	Testing object key with dot character

Schema file: .actor/input_schemas/object_fields.json

Array Fields

Testing array type with various editors.

Field	Editor	Description
arrayJson	json	Basic array with JSON editor
arrayRequestListSources	requestListSources	URLs in Crawlee RequestListSources format
arrayPseudoUrls	pseudoUrls	PseudoUrl patterns for crawling
arrayGlobs	globs	GlobInput patterns
arrayKeyValue	keyValue	Array of key-value pairs
arrayStringList	stringList	Simple list of strings
arrayFileupload	fileupload	Upload multiple files
arraySelectMulti	select	Multi-select dropdown with fixed options
arraySelectSuggested	select	Multi-select with suggested values and custom input

Schema file: .actor/input_schemas/array_fields.json

Sub-Schema Fields

Testing schemaBased editor with various item types.

Field	Items Type	Description
schemaBasedStringArray	string	Array of strings with schema-based editor
schemaBasedIntegerArray	integer	Array of integers with schema-based editor
schemaBasedBooleanArray	boolean	Array of booleans with schema-based editor
schemaBasedObjectArray	object	Array of objects with sub-schema (firstName, lastName, age)
schemaBasedObjectArrayComplex	object	Array of objects with multiple field types

Schema file: .actor/input_schemas/sub_schema_fields.json

Resource Fields

Testing resource picker for datasets and key-value stores.

Field	Resource Type	Permissions
resourceDataset	dataset	READ
resourceKeyValueStore	keyValueStore	READ, WRITE

Schema file: .actor/input_schemas/resource_fields.json

Special Features

Testing nullable, example, errorMessage, and required fields.

Field	Feature	Description
nullableString	nullable: true	String field that can be null
fieldWithExample	example	String field showing example property
fieldWithErrorMessage	errorMessage	String with custom error messages for validation
requiredField	required	This field is required

Schema file: .actor/input_schemas/special_features.json

Project Structure

.actor/
├── actor.json              # Actor config: name, version, runtime settings
├── input_schema.json       # Main input validation & Console form definition
├── input_schemas/          # Organized input schema sections
│   ├── string_fields.json
│   ├── numeric_fields.json
│   ├── boolean_fields.json
│   ├── object_fields.json
│   ├── array_fields.json
│   ├── sub_schema_fields.json
│   ├── resource_fields.json
│   └── special_features.json
└── dataset_schema.json     # Output schema definition
src/
└── main.ts                 # Actor entry point
storage/                    # Local storage (mirrors Cloud during development)
├── datasets/
├── key_value_stores/
└── request_queues/

Getting Started

Run the Actor locally:

$apify run

For complete information, see the Apify development documentation.

Deploy to Apify

Connect Git repository to Apify

1. Go to Actor creation page
2. Click on Link Git Repository button

Push from local machine

1. Log in to Apify:

   $apify login
   

2. Deploy your Actor:

   $apify push
   

Documentation

• Apify SDK for JavaScript
• Apify Platform documentation
• Crawlee documentation
• Join our developer community on Discord