{ "openapi": "3.0.1", "info": { "title": "Regex Helper", "description": "Apply named regular expressions to submitted text or an Apify dataset. Get matches by pattern with values, positions, capture groups, and a total match count.", "version": "0.0", "x-build-id": "MgBjWGNn1WaXyTv3j" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/maximedupre~regex-helper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-maximedupre-regex-helper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/maximedupre~regex-helper/runs": { "post": { "operationId": "runs-sync-maximedupre-regex-helper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/maximedupre~regex-helper/run-sync": { "post": { "operationId": "run-sync-maximedupre-regex-helper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "target" ], "properties": { "target": { "title": "Target", "enum": [ "texts", "dataset" ], "type": "string", "description": "Choose whether to process text entered in this form or rows from an Apify dataset." }, "texts": { "title": "Texts", "minItems": 1, "type": "array", "description": "Enter one or more text values. Each value is processed on its own. Used only for the Submitted texts target.", "items": { "type": "string", "minLength": 1 } }, "datasetId": { "title": "Dataset", "type": "string", "description": "Choose an Apify dataset. Used only for the Apify dataset target." }, "datasetTextField": { "title": "Text field", "minLength": 1, "type": "string", "description": "Enter the dataset row field that holds the text. Used only for the Apify dataset target.", "default": "text" }, "patterns": { "title": "Custom patterns", "type": "array", "description": "Add named Python-compatible regular expressions to use for every text. If left empty, the Actor uses ready-made patterns for emails, phone numbers, URLs, and LinkedIn references.", "items": { "type": "object", "properties": { "name": { "type": "string", "title": "Name", "description": "Give the pattern a unique name used to group its results.", "minLength": 1 }, "expression": { "type": "string", "title": "Regular expression", "description": "Enter a Python-compatible regular expression.", "minLength": 1 } }, "required": [ "name", "expression" ], "additionalProperties": false } }, "matchMode": { "title": "Match mode", "enum": [ "all", "first" ], "type": "string", "description": "Choose whether each pattern returns every occurrence or only its first occurrence in each text.", "default": "all" }, "__isDebug": { "title": "Internal debug mode", "type": "boolean", "description": "Reserved for internal run checks." }, "flags": { "title": "Regex flags", "uniqueItems": true, "type": "array", "description": "Choose Python regular-expression modes to apply to all custom patterns. Leave this empty for normal matching.", "items": { "type": "string", "enum": [ "IGNORECASE", "MULTILINE", "DOTALL", "VERBOSE", "ASCII" ], "enumTitles": [ "Ignore case", "Multiline", "Dot matches newlines", "Verbose", "ASCII" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }