# Econdb (`prophed/econdb`) Actor Fetch public JSON data from Econdb and emit normalized Apify dataset rows. - **URL**: https://apify.com/prophed/econdb.md - **Developed by:** [Prophed Com](https://apify.com/prophed) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Econdb Public JSON API dataset Actor generated from opportunity `publicapis:Finance:Econdb`. The endpoint was smoke-tested during generation and returned JSON, so this Actor can run as a low-compute Apify data product with batching, normalization, scheduling, and dataset export. ### Use cases - Pull public JSON API responses into Apify datasets without custom glue code. - Schedule repeatable snapshots of public API data. - Normalize common API envelopes such as arrays, `data`, `items`, and `results`. - Send output to webhooks, spreadsheets, warehouses, BI tools, or downstream agents. ### Source - Source: public-apis - URL: https://www.econdb.com/api/ - Opportunity ID: publicapis:Finance:Econdb ### Input `requests` accepts one or more public JSON requests. Each request supports `url`, `method`, `params`, optional `headers`, optional JSON `body`, and optional `itemPath` for selecting nested arrays. ```json { "requests": [ { "url": "https://www.econdb.com/api/", "method": "GET", "params": {}, "itemPath": "" } ], "maxItems": 1000, "timeoutSecs": 30 } ```` ### Output Each dataset item contains the source metadata, HTTP status, item index, normalized item object, and fetch timestamp: ```json { "sourceTitle": "Econdb", "sourceUrl": "https://www.econdb.com/api/", "status": 200, "itemIndex": 0, "item": { "id": "example" }, "fetchedAt": "2026-07-05T00:00:00.000Z" } ``` Failed requests produce structured error rows and the Actor continues unless `failFast` is enabled. ### Monetization This Actor is designed for Apify PAY\_PER\_EVENT pricing on the default dataset item event. It keeps compute low by using direct public API calls, strict timeouts, and max-item caps. # Actor input Schema ## `requests` (type: `array`): Public JSON requests to execute and normalize into dataset rows. ## `headers` (type: `object`): Optional non-secret headers. Use Apify secrets for sensitive values. ## `maxItems` (type: `integer`): Hard cap for output dataset rows. ## `includeRawResponse` (type: `boolean`): Attach the full parsed response to error/debug rows only when needed. ## `failFast` (type: `boolean`): Stop after the first failed request. ## `timeoutSecs` (type: `integer`): Per-request timeout. ## Actor input object example ```json { "requests": [ { "url": "https://www.econdb.com/api/", "method": "GET", "params": {}, "itemPath": "" } ], "headers": {}, "maxItems": 1000, "includeRawResponse": false, "failFast": false, "timeoutSecs": 30 } ``` # Actor output Schema ## `results` (type: `string`): No description ## `summary` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "requests": [ { "url": "https://www.econdb.com/api/", "method": "GET", "params": {}, "itemPath": "" } ], "headers": {} }; // Run the Actor and wait for it to finish const run = await client.actor("prophed/econdb").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "requests": [{ "url": "https://www.econdb.com/api/", "method": "GET", "params": {}, "itemPath": "", }], "headers": {}, } # Run the Actor and wait for it to finish run = client.actor("prophed/econdb").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "requests": [ { "url": "https://www.econdb.com/api/", "method": "GET", "params": {}, "itemPath": "" } ], "headers": {} }' | apify call prophed/econdb --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=prophed/econdb", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Econdb", "description": "Fetch public JSON data from Econdb and emit normalized Apify dataset rows.", "version": "0.1", "x-build-id": "PxRmVlEMIgk6feR1O" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/prophed~econdb/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-prophed-econdb", "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/prophed~econdb/runs": { "post": { "operationId": "runs-sync-prophed-econdb", "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/prophed~econdb/run-sync": { "post": { "operationId": "run-sync-prophed-econdb", "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": [ "requests" ], "properties": { "requests": { "title": "Requests", "type": "array", "description": "Public JSON requests to execute and normalize into dataset rows." }, "headers": { "title": "Headers", "type": "object", "description": "Optional non-secret headers. Use Apify secrets for sensitive values." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Hard cap for output dataset rows.", "default": 1000 }, "includeRawResponse": { "title": "Include raw response", "type": "boolean", "description": "Attach the full parsed response to error/debug rows only when needed.", "default": false }, "failFast": { "title": "Fail fast", "type": "boolean", "description": "Stop after the first failed request.", "default": false }, "timeoutSecs": { "title": "Request timeout seconds", "minimum": 5, "maximum": 120, "type": "integer", "description": "Per-request timeout.", "default": 30 } } }, "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 } } } } } } } } } } ```