{ "openapi": "3.0.1", "info": { "title": "Reddit User Scraper - Profiles, Karma & Post History ($1.5/1k)", "description": "Scrape any Reddit user's profile from a username or URL — karma, account age, and full post and comment history. Built for audience research, moderation vetting, and OSINT on public data. No API key, no login. Export to CSV, Excel, or JSON. From $1.50 per 1,000 results.", "version": "0.0", "x-build-id": "Ea3re3gbL62QBzKy7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/harshmaur~reddit-user-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-harshmaur-reddit-user-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/harshmaur~reddit-user-scraper/runs": { "post": { "operationId": "runs-sync-harshmaur-reddit-user-scraper", "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/harshmaur~reddit-user-scraper/run-sync": { "post": { "operationId": "run-sync-harshmaur-reddit-user-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": [ "usernames" ], "properties": { "usernames": { "title": "Usernames or profile URLs", "type": "array", "description": "Enter one or more Reddit usernames in any format: spez, u/spez, or https://www.reddit.com/user/spez/.", "default": [], "items": { "type": "string" } }, "maxPostsCount": { "title": "Max posts per user", "minimum": 0, "maximum": 50000, "type": "integer", "description": "Maximum number of submitted posts to collect per user. Set to 0 to skip posts and only collect the profile and comments.", "default": 25 }, "maxCommentsCount": { "title": "Max comments per user", "minimum": 0, "type": "integer", "description": "Maximum number of comments to collect per user. Set to 0 to skip comments.", "default": 25 }, "includeNSFW": { "title": "Include NSFW (18+) content", "type": "boolean", "description": "Include posts and comments marked as Not Safe For Work.", "default": false }, "sentimentAnalysis": { "title": "AI sentiment, intent & entities — billed per result", "type": "boolean", "description": "Adds AI-judged fields to every post and comment: `sentimentLabel` (positive / negative / neutral / mixed / uncertain), `sentimentScore` (-1 to 1), `intent` (question, seeking_recommendation, complaint, praise, purchase_intent, comparison, announcement, self_promotion, discussion), `emotion` (joy, excitement, anger, frustration, sadness, disappointment, fear, surprise, neutral), `entities` (brands, products and companies mentioned in the text) and — for results found via Search Keywords — `relevanceScore` (0 to 1 against your query). The model understands Reddit slang and sarcasm; bot and moderator boilerplate is labelled `uncertain` free of charge. Each analyzed result is billed as one `analyzed_item` event — see the Pricing tab. Paid add-on: requires a paid Apify plan and is available on this pay-per-event listing only — ignored on free plans.", "default": false }, "contentAnalysis": { "title": "AI content categories — billed per result", "type": "boolean", "description": "Classifies each post into a `contentCategory` (News, Politics, Technology, Gaming, Entertainment, Sports, Finance, Shopping & Products, Relationships & Personal, Humor & Memes, Help & Support, Community & Meta, Adult, Other) using its title, body, subreddit and flair. Each analyzed result is billed as one `analyzed_item` event (a post with both toggles on is still charged only once). Paid add-on: requires a paid Apify plan; ignored on free plans.", "default": false }, "customLabels": { "title": "Custom AI labels — billed per label per result", "type": "object", "description": "Define your own labels as `{\"label_name\": \"plain-language instruction\"}` and the AI evaluates each one on every analyzed post and comment, returning them under `customLabels` on each result. Example: `{\"mentions_pricing\": \"true if the text complains about pricing or cost\", \"competitor\": \"name the competing product mentioned, or none\"}`. Up to 5 labels; names must be short identifiers (letters, digits, underscore). Each label evaluated on each result is billed as one `custom_label` event — 3 labels on 1,000 results = 3,000 events. An evaluation that finds nothing (an empty/null answer, when your instruction allows it) is still an evaluation and is charged; nothing is charged for results the AI could not process. Paid add-on: requires a paid Apify plan; ignored on free plans." }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Either use Apify proxy, or provide your own proxy servers.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } }