J-STAGE Scraper
Pricing
from $3.00 / 1,000 results
Go to Apify Store
J-STAGE Scraper
Scrape Japanese research articles from J-STAGE via the official WebAPI. Use a keyword or paste a J-STAGE URL โ the URL wins when set.
J-STAGE Scraper
Pricing
from $3.00 / 1,000 results
Scrape Japanese research articles from J-STAGE via the official WebAPI. Use a keyword or paste a J-STAGE URL โ the URL wins when set.
You can access the J-STAGE Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in API & Integrations in Apify Console.
![Facebook Comment Scraper - Posts & Reels [NO COOKIES] โ
avatar](https://images.apifyusercontent.com/hqgStawwZzdJRVkjbEjssPVhXQV6FKrNjpLS-ySQwEE/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vc0NDU2R3bm1LTUoxUTJzVG4tYWN0b3Itc2Y3dzdkdFlsTTIxY2hmWHYtb25xTWRLbkMwSC1pbWdiaW4tbG9nby1mYWNlYm9vay1pY29uLWZhY2Vib29rLWxvZ28tdHJhbnNwYXJlbnQtZmFjZWJvb2stbG9n.webp){kind=avatar}
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Default is cancer.", "default": "cancer" }, "search_field": { "title": "Search field", "enum": [ "", "1", "2", "3", "4", "5", "6", "7", "8", "9", "F", "A", "B", "C", "D", "E" ], "type": "string", "description": "Optional field for `item1` on the results form. Combined with keyword as `word1` when set.", "default": "" }, "publication_type": { "title": "Publication type", "enum": [ "", "100", "200", "400", "500", "600" ], "type": "string", "description": "Same Publication type facet (`srySybt`).", "default": "" }, "peer_reviewed": { "title": "Peer review", "enum": [ "", "1" ], "type": "string", "description": "Same Peer review facet (`kjnSdkUm`).", "default": "" }, "article_attribute": { "title": "Article attribute", "enum": [ "", "1", "2", "3", "5" ], "type": "string", "description": "Same Article attribute facet (`kijiZksi`).", "default": "" }, "access_type": { "title": "Access type", "enum": [ "", "1", "2", "3" ], "type": "string", "description": "Same Access type facet (`nnshuSybt`).", "default": "" }, "license": { "title": "License", "enum": [ "", "01", "02", "03", "04", "05", "06", "99" ], "type": "string", "description": "Same License facet (`licenseCd`).", "default": "" }, "subject": { "title": "Subject / category", "enum": [ "", "010000", "010100", "011100", "012100", "014100", "030000", "030100", "035100", "050000", "050100", "051100", "053100", "054100", "070000", "070100", "072100", "073100", "074100", "075100", "090000", "090100", "091100", "092100", "110000", "111100", "112100", "113100", "114100", "115100", "116100", "117100" ], "type": "string", "description": "Same subject facet (`bnyaShbnr`) and advanced-search subject codes.", "default": "" }, "data_repository": { "title": "Data repository", "enum": [ "", "1", "2" ], "type": "string", "description": "Same Data repository facet (`dataRepo`).", "default": "" }, "journal": { "title": "Journal / publication title", "type": "string", "description": "Same journal facet (`srynm`). Use the publication title as shown on J-STAGE." }, "author": { "title": "Author", "type": "string", "description": "Same author facet (`chshnm`)." }, "year_from": { "title": "Year from", "minimum": 1800, "maximum": 2100, "type": "integer", "description": "Same `yearfrom` field on the results form (YYYY)." }, "year_to": { "title": "Year to", "minimum": 1800, "maximum": 2100, "type": "integer", "description": "Same `yearto` field on the results form (YYYY)." }, "sort": { "title": "Sort by", "enum": [ "1", "5", "6", "2", "3", "4" ], "type": "string", "description": "Same Sort by control (`order` / `sortby`).", "default": "1" }, "max_results": { "title": "Maximum number of results", "minimum": 1, "maximum": 2000, "type": "integer", "description": "How many rows to return (1โ2000). The results page can show 50 articles at a time.", "default": 50 } } }, "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 J-STAGE Scraper from the options below:
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