Backup Actor
Pricing
$180.00 / 1,000 edition downloadeds
A bridge between India's e-paper readers and your systems: discovers, extracts, rebuilds and verifies every page, and delivers each edition as one PDF. 138 titles, 12 languages.
You can access the Backup Actor 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.
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Bijapura (Kannada) · subscription", "Vijay Karnataka · Namma Chamarajanagara (Kannada) · subscription", "Vijay Karnataka · Namma Chikamagaluru (Kannada) · subscription", "Vijay Karnataka · Namma Chikkaballapura (Kannada) · subscription", "Vijay Karnataka · Namma Chitradurga (Kannada) · subscription", "Vijay Karnataka · Namma Davanagere (Kannada) · subscription", "Vijay Karnataka · Namma Gadaga (Kannada) · subscription", "Vijay Karnataka · Namma Hasana (Kannada) · subscription", "Vijay Karnataka · Namma Haveri (Kannada) · subscription", "Vijay Karnataka · Namma Hubli Darwada (Kannada) · subscription", "Vijay Karnataka · Namma Hubli Dharwada Nagara (Kannada) · subscription", "Vijay Karnataka · Namma Kalaburagi (Kannada) · subscription", "Vijay Karnataka · Namma Kalaburagi Gramantara (Kannada) · subscription", "Vijay Karnataka · Namma Karwar (Kannada) · subscription", "Vijay Karnataka · Namma Kasaragodu (Kannada) · subscription", "Vijay Karnataka · Namma Kodagu (Kannada) · subscription", "Vijay Karnataka · Namma Kolara (Kannada) · subscription", "Vijay Karnataka · Namma Koppala (Kannada) · subscription", "Vijay Karnataka · Namma Kundapura (Kannada) · subscription", "Vijay Karnataka · Namma Mandya (Kannada) · subscription", "Vijay Karnataka · Namma Mangaluru (Kannada) · subscription", "Vijay Karnataka · Namma Mysore (Kannada) · subscription", "Vijay Karnataka · Namma Mysore Gramantara (Kannada) · subscription", "Vijay Karnataka · Namma Putturu (Kannada) · subscription", "Vijay Karnataka · Namma Raichuru (Kannada) · subscription", "Vijay Karnataka · Namma Ramanagara (Kannada) · subscription", "Vijay Karnataka · Namma Shivamogga (Kannada) · subscription", "Vijay Karnataka · Namma Tumkur (Kannada) · subscription", "Vijay Karnataka · Namma Udupi (Kannada) · subscription", "Vijay Karnataka · Namma Vijayanagara (Kannada) · subscription", "Vijay Karnataka · Namma Yadagiri (Kannada) · subscription", "Vijay Karnataka · VK Money (Kannada) · subscription", "Vijay Karnataka · VK Property (Kannada) · subscription", "Vijay Karnataka · VK Special (Kannada) · subscription", "Vijayavani · Bengaluru (Kannada)", "Vijayavani · Hubli (Kannada)", "Visalaandhra (Telugu) · internal", "Vishwavani (Kannada)", "Yeshobhumi (Hindi)" ] }, "default": [ "sakshi" ] }, "date": { "title": "Edition date", "type": "string", "description": "The day's edition to download, as YYYY-MM-DD. Leave empty for today (India time)." }, "parallelPapers": { "title": "Newspapers at once", "minimum": 1, "maximum": 4, "type": "integer", "description": "How many newspapers are downloaded at the same time. More is faster but uses more memory.", "default": 2 }, "maxConcurrency": { "title": "Page downloads at once", "minimum": 1, "maximum": 16, "type": "integer", "description": "How many pages of an edition are downloaded at the same time.", "default": 8 }, "accessKey": { "title": "Access key", "type": "string", "description": "Only if the owner gave you one. Leave empty otherwise." } } }, "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "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.
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