Reddit Keyword Scraper
Pricing
$9.00/month + usage
Pricing
$9.00/month + usage
Rating
0.0
(0)
Developer

Alexandre AMIEL
Actor stats
0
Bookmarked
1
Total users
0
Monthly active users
3 days ago
Last modified
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Reddit Keyword Scraper
Pricing
$9.00/month + usage
Pricing
$9.00/month + usage
Rating
0.0
(0)
Developer

Alexandre AMIEL
Actor stats
0
Bookmarked
1
Total users
0
Monthly active users
3 days ago
Last modified
Categories
Share
You can access the Reddit Keyword 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, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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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/victorious_podcast~reddit-keyword-scraper/run-sync": { "post": { "operationId": "run-sync-victorious_podcast-reddit-keyword-scraper", "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": [ "subreddit", "keyword" ], "properties": { "subreddit": { "title": "Subreddit", "type": "string", "description": "Name of the subreddit to scan (ex: pasta)" }, "keyword": { "title": "Keyword", "type": "string", "description": "Keyword to search in posts and comments (ex: tomato)" }, "maxPosts": { "title": "Max posts to scan", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of posts to analyze", "default": 50 }, "sort": { "title": "Sort", "enum": [ "new", "top", "relevance", "comments" ], "type": "string", "description": "Sorting method for Reddit search results", "default": "new" }, "time": { "title": "Time range", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time filter for posts", "default": "month" }, "includePosts": { "title": "Match in posts", "type": "boolean", "description": "If true, keyword matches in post title/body are included", "default": true }, "includeComments": { "title": "Match in comments", "type": "boolean", "description": "If true, keyword matches in comments are included", "default": true }, "maxCommentsPerPost": { "title": "Max comments per post", "minimum": 0, "maximum": 2000, "type": "integer", "description": "Maximum number of comments to scan per post", "default": 200 }, "commentDepth": { "title": "Comment depth", "minimum": 1, "maximum": 10, "type": "integer", "description": "How deep to scan nested comment threads", "default": 3 }, "requestDelayMs": { "title": "Delay between requests (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Delay between Reddit requests to avoid rate limits", "default": 800 } } }, "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": 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"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.
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