TikTok Scraper (pay-per-video)
Pricing
$4.00 / 1,000 videos
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TikTok Scraper (pay-per-video)
Get TikTok data fast! Real-time, authentic data. No pre-built databases! Track trending content, popular music videos, top users videos.
5.0 (1)
Pricing
$4.00 / 1,000 videos
2
Total users
13
Monthly users
7
Runs succeeded
92%
Last modified
7 days ago
You can access the TikTok Scraper (pay-per-video) 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 Integrations settings in Apify Console.
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Ex: US", "default": "GB" }, "url": { "title": "🔗 Start URLs/Video IDs to scrape. For HASHTAG, USER, MUSIC.", "type": "string", "description": "URL correspond to type. Use when Type is HASHTAG, USER, MUSIC", "default": "" }, "keywords": { "title": "🔎 Keywords (can contain space). For SEARCH", "type": "array", "description": "Keyword (can contain space). For SEARCH", "items": { "type": "string" } }, "maxItems": { "title": "🔢 Max Items", "type": "integer", "description": "Soft limit of result. If actual result size >= limit. The scraper will stop." }, "isUnlimited": { "title": "♾️ As much as possible.", "type": "boolean", "description": "Get all if possible. This feature will slowdown your actor because it need to bypass TikTok's captcha", "default": false }, "sortType": { "title": "Sort Type. Use when Type is SEARCH. 0: Relevance. 1: Most liked. 2: Most recent", "minimum": 0, "maximum": 2, "type": "integer", "description": "Sort Type. Use when Type is SEARCH. 0: Relevance. 1: Most liked. 2: Most recent" }, "publishTime": { "title": "Publish Time. Use when Type is SEARCH. ", "enum": [ "ALL_TIME", "YESTERDAY", "WEEK", "MONTH", "THREE_MONTH", "SIX_MONTH" ], "type": "string", "description": "Sort Type. Use when Type is SEARCH." } } }, "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 } } } } } } } } }}TikTok Scraper (pay-per-video) OpenAPI definition
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 TikTok Scraper (pay-per-video) from the options below:
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