# CatchAll - Early Results (`newscatcher/catchall-early-results`) Actor Retrieve partial results from a CatchAll job before it completes. Available once the job reaches the enriching stage. - **URL**: https://apify.com/newscatcher/catchall-early-results.md - **Developed by:** [Newscatcher-CatchAll](https://apify.com/newscatcher) (community) - **Categories:** AI, Automation, News - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## CatchAll Early Results — get partial results before completion CatchAll Early Results polls a running CatchAll job and retrieves whatever records have been extracted so far, even if the job has not completed all processing steps. This lets you preview data without waiting for the full 10–15 minute run. ### When to use this Actor - **Preview results early.** Check whether the extracted data matches your expectations without waiting for the full job to finish. - **Validate query quality.** If early results look off, you can adjust your query or enrichments for the next job instead of waiting. - **Build responsive pipelines.** Start downstream processing on partial data while the job continues. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `apiKey` | String | Yes | Your CatchAll API key | | `jobId` | String | Yes | Job ID to poll and fetch early results for | | `pollIntervalSeconds` | Integer | No | How often to check status, in seconds (default: 60, minimum: 5) | | `pageSize` | Integer | No | Records per page when pulling results (default: 100, minimum: 10) | #### Input example ```json { "apiKey": "YOUR_CATCHALL_API_KEY", "jobId": "5f0c9087-85cb-4917-b3c7-e5a5eff73a0c", "pollIntervalSeconds": 30, "pageSize": 50 } ```` ### Output The Actor saves available records to the default Dataset. The output format is identical to [CatchAll Pull Results](https://apify.com/newscatcher/catchall-pull-results), but the record count may be lower since the job is still processing. If the job has not yet reached the extraction stage, the output may contain zero records. ### Tips - **Use with CatchAll Get Job Status.** Check the `progress_validated` field to estimate how many records might be available before calling this Actor. - **Results are not final.** Records returned by early results may change or be supplemented in the final output. Always use [CatchAll Pull Results](https://apify.com/newscatcher/catchall-pull-results) for the definitive dataset. - **Lower the poll interval for faster preview.** Set `pollIntervalSeconds` to 15–30 for quicker feedback, but keep in mind this increases the number of API calls. ### Other CatchAll Actors | Actor | Description | |-------|-------------| | [CatchAll](https://apify.com/newscatcher/catchall) | End-to-end job: submit, poll, and retrieve results | | [CatchAll Get Job Status](https://apify.com/newscatcher/catchall-get-job-status) | Check job progress | | [CatchAll Pull Results](https://apify.com/newscatcher/catchall-pull-results) | Retrieve all records from a completed job | For the full list, visit the [Newscatcher](https://apify.com/newscatcher) organization page. ### Resources - [CatchAll documentation](https://www.newscatcherapi.com/docs/web-search-api/get-started/introduction) - [Jobs guide](https://www.newscatcherapi.com/docs/web-search-api/guides-and-concepts/jobs) # Actor input Schema ## `apiKey` (type: `string`): Your CatchAll API key. ## `jobId` (type: `string`): Job ID to poll and fetch early results for. ## `pollIntervalSeconds` (type: `integer`): How often to check status. Default 60 seconds. ## `pageSize` (type: `integer`): How many records to request per page when pulling results. Default 100. ## Actor input object example ```json { "pollIntervalSeconds": 60, "pageSize": 100 } ``` # Actor output Schema ## `overview` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("newscatcher/catchall-early-results").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 = {} # Run the Actor and wait for it to finish run = client.actor("newscatcher/catchall-early-results").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 '{}' | apify call newscatcher/catchall-early-results --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=newscatcher/catchall-early-results", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CatchAll - Early Results", "description": "Retrieve partial results from a CatchAll job before it completes. Available once the job reaches the enriching stage.", "version": "0.0", "x-build-id": "RLfw9Sp8odNCct5Y6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/newscatcher~catchall-early-results/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-newscatcher-catchall-early-results", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/newscatcher~catchall-early-results/runs": { "post": { "operationId": "runs-sync-newscatcher-catchall-early-results", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/newscatcher~catchall-early-results/run-sync": { "post": { "operationId": "run-sync-newscatcher-catchall-early-results", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "apiKey", "jobId" ], "properties": { "apiKey": { "title": "CatchAll API Key", "type": "string", "description": "Your CatchAll API key." }, "jobId": { "title": "Job ID", "type": "string", "description": "Job ID to poll and fetch early results for." }, "pollIntervalSeconds": { "title": "Poll interval (seconds)", "minimum": 5, "type": "integer", "description": "How often to check status. Default 60 seconds.", "default": 60 }, "pageSize": { "title": "Results page size", "minimum": 10, "type": "integer", "description": "How many records to request per page when pulling results. Default 100.", "default": 100 } } }, "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 } } } } } } } } } } ```