Pricing

from $0.35 / standard report

last30Days Trend Intel — Multi-Platform Research Reports

Research any topic across Reddit, TikTok, Instagram, YouTube, HN, Polymarket, GitHub, and more. Get AI-synthesized trend briefs with engagement scores, sentiment analysis, and source citations.

Pricing

from $0.35 / standard report

Rating

0.0

(0)

Developer

Pika Choo

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

Categories

Lead generation

Social media

You can access the last30Days Trend Intel — Multi-Platform Research Reports 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "1.0",
    "x-build-id": "q2wpRGCsu9b8ghfZi"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/openclawai~30days-trend-intel/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-openclawai-30days-trend-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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/openclawai~30days-trend-intel/runs": {
      "post": {
        "operationId": "runs-sync-openclawai-30days-trend-intel",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/openclawai~30days-trend-intel/run-sync": {
      "post": {
        "operationId": "run-sync-openclawai-30days-trend-intel",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": [
          "topic"
        ],
        "properties": {
          "topic": {
            "title": "🔍 Research Topic",
            "type": "string",
            "description": "Any topic, person, company, product, event, or trend. Examples: 'OpenAI vs Anthropic', 'Taylor Swift Eras Tour', 'best CRM tools 2026', 'Peter Steinberger'"
          },
          "depth": {
            "title": "📈 Report Depth",
            "enum": [
              "quick",
              "standard",
              "deep",
              "full"
            ],
            "type": "string",
            "description": "Quick ($0.15) = Reddit + HN + Polymarket. Standard ($0.35) = + TikTok, Instagram, YouTube. Deep ($0.75) = more results per source. Full ($1.50) = everything + Perplexity web grounding.",
            "default": "standard"
          },
          "timeframe": {
            "title": "📅 Timeframe",
            "enum": [
              "7d",
              "14d",
              "30d",
              "90d"
            ],
            "type": "string",
            "description": "How far back to search",
            "default": "30d"
          },
          "sources": {
            "title": "🌐 Sources (optional — leave empty for all)",
            "type": "array",
            "description": "Select specific platforms to search, or leave empty for all available",
            "items": {
              "type": "string",
              "enum": [
                "reddit",
                "tiktok",
                "instagram",
                "youtube",
                "hackernews",
                "polymarket",
                "github",
                "threads",
                "pinterest",
                "bluesky"
              ],
              "enumTitles": [
                "Reddit",
                "TikTok",
                "Instagram",
                "YouTube",
                "Hacker News",
                "Polymarket",
                "GitHub",
                "Threads",
                "Pinterest",
                "Bluesky"
              ]
            }
          },
          "aiSynthesis": {
            "title": "🤖 AI Synthesis",
            "type": "boolean",
            "description": "Generate an AI-powered executive summary with key findings, sentiment, and best takes",
            "default": true
          },
          "outputFormat": {
            "title": "📄 Output Format",
            "enum": [
              "json",
              "markdown"
            ],
            "type": "string",
            "description": "JSON for programmatic use, Markdown for readable reports",
            "default": "json"
          },
          "proxyConfiguration": {
            "title": "🌐 Proxy Configuration",
            "type": "object",
            "description": "Residential proxies prevent Reddit/platform 403 blocks.\n\n📌 Default: Apify Residential Proxy ($8/GB)\n💡 Alternative: BUYPROXIES94952 (free datacenter, less reliable)",
            "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Trend Intel — Reddit TikTok Instagram YouTube Research 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 last30Days Trend Intel — Multi-Platform Research Reports from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

last30Days Trend Intel — Multi-Platform Research Reports API in Python

last30Days Trend Intel — Multi-Platform Research Reports API in JavaScript

last30Days Trend Intel — Multi-Platform Research Reports API through CLI

last30Days Trend Intel — Multi-Platform Research Reports API

Reddit Search Posts

igview-owner/reddit-post-viewer

Scrape Reddit search results into clean datasets without login. Get post text, author info, subreddit details, engagement metrics, and media URLs for any keyword or topic. Perfect for research, sentiment analysis, and trend tracking.

Sachin Kumar Yadav

Reddit Trends Scraper

scrapier/reddit-trends-scraper

Reddit Trends Scraper helps you scrape trending discussions and high engagement posts from Reddit. Export structured data for sentiment analysis, audience research, and trend forecasting across multiple communities.

Scrapier

Reddit Api Scraper

scraper-engine/reddit-api-scraper

Extract posts, comments, subreddit data, and user insights from Reddit using the Reddit API Scraper. Collect titles, scores, authors, timestamps, and full discussions. Ideal for market research, sentiment analysis, trend monitoring, and building datasets from Reddit communities.

Scraper Engine

Reddit Api Scraper

scrapapi/reddit-api-scraper

Reddit API Scraper collects data from Reddit posts, comments, and subreddits using the Reddit API. Extract titles, post text, usernames, scores, timestamps, and comment threads. Ideal for trend analysis, sentiment research, community monitoring, and social data collection.

ScrapAPI

Reddit Comments Search Scraper

easyapi/reddit-comments-search-scraper

Search and extract Reddit comments with advanced filtering options. Get detailed metadata including comment content, author info, post context, and engagement metrics. Perfect for sentiment analysis, trend research, and social media monitoring.

EasyApi

161

Influencer Discovery Agent

viralanalyzer/influencer-discovery-agent

Discover influencers by niche, engagement rate, and audience size. Multi-platform search across Instagram, TikTok, YouTube, and Twitter.

viralanalyzer

4.5

Tiktok Hashtag Trend Analyzer

bronze_shovel/tiktok-hashtag-trend-analyzer

🎵 Comprehensive TikTok hashtag analysis for viral content strategy and trend research

Biffer

Reddit Posts Search Scraper

easyapi/reddit-posts-search-scraper

Extract Reddit posts from search results with rich metadata, including media content, engagement metrics, and community information. Perfect for content research, trend analysis, and social media monitoring across Reddit communities.

EasyApi

260

Reddit Comment Scraper

scrapium/reddit-comment-scraper

Scrape Reddit comments with ease 💬👽 Extract comment text, usernames, scores, timestamps, replies, and thread details from Reddit posts. Perfect for sentiment analysis, audience research, trend tracking, and community insights. Turn Reddit conversations into actionable data fast 🚀

Scrapium