Coder~devil
Pricing
Pay per usage
Go to Apify Store
You can access the Coder~devil programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.3", "x-build-id": "LeoAI49rj1VYZQ5W6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lamplit_weever~coder-devil/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lamplit_weever-coder-devil", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lamplit_weever~coder-devil/runs": { "post": { "operationId": "runs-sync-lamplit_weever-coder-devil", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lamplit_weever~coder-devil/run-sync": { "post": { "operationId": "run-sync-lamplit_weever-coder-devil", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "category", "city", "country" ], "properties": { "category": { "title": "Business category", "type": "string", "description": "Examples: dentists, accounting firms, solar installers." }, "city": { "title": "City", "type": "string", "description": "City to search for businesses." }, "country": { "title": "Country", "type": "string", "description": "Country containing the target city." }, "maxLeads": { "title": "Maximum leads", "minimum": 1, "maximum": 500, "type": "integer", "description": "Use 25–50 for the first quality test. Large runs should be split by city or geographic grid in the orchestrator.", "default": 50 }, "prioritizeOutreachEligible": { "title": "Prioritize outreach-eligible leads", "type": "boolean", "description": "Evaluates a larger business pool, then selects source-backed email leads before phone-only and website-only records. Disable this to preserve discovery order.", "default": true }, "candidatePoolMultiplier": { "title": "Candidate pool multiplier", "minimum": 1, "maximum": 2, "type": "number", "description": "When prioritization and website crawling are enabled, evaluates this multiple of maxLeads before selecting the final dataset. 1.4 means up to 70 candidates for 50 outputs.", "default": 1.4 }, "minimumOutreachEligible": { "title": "Minimum outreach-eligible target", "minimum": 0, "maximum": 500, "type": "integer", "description": "Run-reporting target only; it never relaxes safety rules or guarantees yield. For a 50-lead pilot, use 31.", "default": 31 }, "crawlOfficialWebsites": { "title": "Collect public website contacts", "type": "boolean", "description": "Visits the official website and relevant internal contact, location, team, about, support, and legal pages. It never generates guessed addresses.", "default": true }, "usePlaywrightFallback": { "title": "Use browser fallback for unreachable websites", "type": "boolean", "description": "After bounded HTTP retries fail, tries at most two pages in Chromium. Disable this to avoid browser fallback cost.", "default": true }, "maxPagesPerWebsite": { "title": "Maximum pages per official website", "minimum": 1, "maximum": 12, "type": "integer", "description": "Starts with the website, homepage, /contact, and /contact-us, then follows the strongest relevant internal links up to this limit.", "default": 8 }, "strictCityMatch": { "title": "Reject results outside the target city", "type": "boolean", "description": "Keeps a result only when its public address contains the requested city.", "default": true }, "requireWebsite": { "title": "Require an official website", "type": "boolean", "description": "Rejects listings without an official website from the main lead dataset.", "default": true }, "sourceActorId": { "title": "Discovery source Actor", "type": "string", "description": "The default is the reviewed Google Places discovery adapter. Change it only after reviewing the replacement Actor's input and output schema.", "default": "compass/crawler-google-places" }, "proxyConfiguration": { "title": "Proxy configuration for official-site crawling", "type": "object", "description": "Optional Apify proxy settings. This applies only to official website pages crawled by this Actor." } } }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Coder~devil from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: