# CatchAll - Continue (`newscatcher/catchall-continue`) Actor Expand an existing CatchAll job to process more records beyond the initial limit. - **URL**: https://apify.com/newscatcher/catchall-continue.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 Continue — expand a job to process more records CatchAll Continue extends a completed job to process additional records beyond the original limit. It reuses the same query, validators, and enrichments from the original job, so you don't reprocess data you already have. This Actor maps to the [`POST /catchAll/continue`](https://www.newscatcherapi.com/docs/web-search-api/api-reference/jobs/continue-job) endpoint. ### When to use this Actor - **Get more results after reviewing initial data.** Start with a small limit for fast testing, then expand if the results look good. - **Avoid reprocessing.** Continuing a job picks up where it left off instead of restarting the entire pipeline. - **Iterative data collection.** Gradually increase your dataset size based on quality checks. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `apiKey` | String | Yes | Your CatchAll API key | | `jobId` | String | Yes | Job ID of a completed job to continue | | `newLimit` | Integer | Yes | New record limit for the job (must be greater than the previous limit) | #### Input example ```json { "apiKey": "YOUR_CATCHALL_API_KEY", "jobId": "5f0c9087-85cb-4917-b3c7-e5a5eff73a0c", "newLimit": 50 } ```` If the original job had a limit of 10, setting `newLimit` to 50 processes up to 40 additional records. ### Output The Actor returns the updated `job_id` in the default Dataset. The continued job goes through additional processing, so you need to poll its status again with [CatchAll Get Job Status](https://apify.com/newscatcher/catchall-get-job-status) before retrieving results. #### Output example ```json { "job_id": "5f0c9087-85cb-4917-b3c7-e5a5eff73a0c" } ``` ### Tips - **`newLimit` must be greater than the previous limit.** The API returns an error if you set a limit equal to or lower than the original. - **Check `candidate_records` first.** Use [CatchAll Get Job Status](https://apify.com/newscatcher/catchall-get-job-status) to see how many candidate clusters were found. If `candidate_records` is close to your current limit, there may be more data available. - **Poll again after continuing.** The continued job needs additional processing time. Poll the status endpoint every 30–60 seconds until the job completes. ### Other CatchAll Actors | Actor | Description | |-------|-------------| | [CatchAll](https://apify.com/newscatcher/catchall) | End-to-end job: submit, poll, and retrieve results | | [CatchAll Create Job](https://apify.com/newscatcher/catchall-create-job) | Submit a job without polling | | [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 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`): Existing job\_id to continue. ## `newLimit` (type: `integer`): New record limit for the job. ## Actor input object example ```json {} ``` # 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-continue").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-continue").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-continue --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=newscatcher/catchall-continue", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CatchAll - Continue", "description": "Expand an existing CatchAll job to process more records beyond the initial limit.", "version": "0.1", "x-build-id": "dqA6wLcHVhZr1HJTG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/newscatcher~catchall-continue/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-newscatcher-catchall-continue", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/newscatcher~catchall-continue/runs": { "post": { "operationId": "runs-sync-newscatcher-catchall-continue", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/newscatcher~catchall-continue/run-sync": { "post": { "operationId": "run-sync-newscatcher-catchall-continue", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "newLimit" ], "properties": { "apiKey": { "title": "CatchAll API Key", "type": "string", "description": "Your CatchAll API key." }, "jobId": { "title": "Job ID", "type": "string", "description": "Existing job_id to continue." }, "newLimit": { "title": "New Limit", "type": "integer", "description": "New record limit for the job." } } }, "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 } } } } } } } } } } ```