{ "openapi": "3.0.1", "info": { "title": "Peptide Market Intelligence Scraper", "description": "Track GLP-1s, BPC-157, and 30+ peptide compounds across Reddit, YouTube, and Amazon with sentiment, intent, and vendor leaderboards.", "version": "1.0", "x-build-id": "UEc6O6hB4FSfHpJYR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/constructive_calm~peptide-market-intel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-constructive_calm-peptide-market-intel", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/constructive_calm~peptide-market-intel/runs": { "post": { "operationId": "runs-sync-constructive_calm-peptide-market-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/constructive_calm~peptide-market-intel/run-sync": { "post": { "operationId": "run-sync-constructive_calm-peptide-market-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "sources" ], "properties": { "sources": { "title": "Sources", "type": "array", "description": "Which channels to aggregate peptide mentions from. YouTube and Amazon are enabled by default. Reddit is available as opt-in but can return 403 from Apify cloud.", "items": { "type": "string", "enum": [ "reddit", "youtube", "amazon" ], "enumTitles": [ "Reddit", "YouTube videos", "Amazon product search" ] }, "default": [ "youtube", "amazon" ] }, "compoundCategories": { "title": "Compound categories", "type": "array", "description": "Filter the resolved vocabulary by therapeutic category. Leave empty to track all categories. Categories come from UniProt keywords + the consumer overlay.", "items": { "type": "string", "enum": [ "GLP-1", "healing", "GH-GHRP", "cosmetic", "sexual", "nootropic", "longevity" ] }, "default": [] }, "customVocabulary": { "title": "Custom compound vocabulary", "type": "array", "description": "Add peptide compounds (canonical names) to track beyond the resolved UniProt + consumer-overlay list. Useful for experimental or newly-launched compounds not yet in the public vocabulary.", "default": [], "items": { "type": "string" } }, "maxItemsPerSource": { "title": "Max items per source", "minimum": 10, "maximum": 5000, "type": "integer", "description": "Cap the number of items fetched from each mention-producing source (Reddit, YouTube, Amazon). Higher values increase coverage and runtime. Start low (30-100) to preview before scaling up.", "default": 30 }, "enrichmentMode": { "title": "Enrichment mode", "enum": [ "full", "raw" ], "type": "string", "description": "full = Gemini 2.5 Flash adds compound disambiguation, sentiment (positive/neutral/negative + score), intent classification, and vendor/brand extraction. raw = faster, no LLM fields; rows still have deterministic compound + alias matches. Same price per mention either way.", "default": "full" }, "includeAggregates": { "title": "Include aggregate reports", "type": "boolean", "description": "Write TOP_COMPOUNDS, VENDOR_LEADERBOARD, SENTIMENT_BY_COMPOUND, and TRENDING_COMPOUNDS_7D to the Key-Value Store. Recommended: this is where the cross-source intelligence lives.", "default": true }, "autoDiscover": { "title": "Auto-discover new compounds", "type": "boolean", "description": "Ask Gemini to flag compound-like terms that look like peptides but aren't in the resolved vocabulary. Results land in the SUGGESTED_VOCABULARY KV doc. Review them and add promising ones to customVocabulary or the VOCAB_CONSUMER_OVERLAY KV record on next run.", "default": false }, "datasetName": { "title": "Named dataset (enables 7-day trending deltas)", "type": "string", "description": "Set a persistent dataset name across scheduled runs to get week-over-week TRENDING_COMPOUNDS_7D deltas. Leave empty for one-off runs; the trending doc will return a note rather than real deltas." } } }, "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 } } } } } } } } } }