# X (Twitter) Active Hours & Posting Times Analyzer (`seemuapps/x-active-hours-analyzer`) Actor

Find out when any public X (Twitter) account is most active get a day-by-hour posting heatmap, peak days and hours, and the account's likely time zone.

- **URL**: https://apify.com/seemuapps/x-active-hours-analyzer.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Social media, Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $200.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## X (Twitter) Active Hours & Posting Times Analyzer

Find out **when** any public X (Twitter) account is active. Enter a username and get a day-by-hour heatmap of their posting times, their peak days and hours, quiet (likely-asleep) hours, and an estimate of the account's time zone — no login or cookies required.

### What you get

- **Day-by-hour heatmap** — a 7×24 grid showing how many posts land in each hour of each weekday, in both the account's local time and UTC
- **Most active day and hour** — the single peak weekday and hour
- **Quiet hours** — the hours with little or no activity (the account's likely offline/sleep window)
- **Estimated time zone** — auto-detected from the quietest posting window, with a confidence rating (or supply your own)
- **Weekday vs. weekend split** — what share of activity falls on weekdays vs. weekends
- **Top time slots** — the five busiest day+hour combinations
- Export to JSON, CSV, or Google Sheets directly from the Apify console

### Use cases

- **Best time to post / reach** — schedule outreach, replies, or campaigns for when the account is actually online
- **Audience and competitor research** — understand a creator's or brand's posting rhythm
- **Influencer vetting** — spot accounts that post on a flat, automated schedule vs. organic human activity
- **Lifestyle and time-zone inference** — estimate where in the world an account is based

### How it works

The analyzer samples the account's most recent tweets and buckets every timestamp by weekday and hour. Posting time is a strong proxy for when someone is active. The time zone is inferred from the **circadian dip** — the multi-hour window when the account posts least (its local night) — and you can always override it.

> Note: this reflects *posting* activity, not real-time presence (no platform exposes that publicly). Scheduled/automated posts can flatten the pattern — which itself shows up as a "low confidence" time-zone estimate.

### How to use

1. Enter the X **username** (with or without @; profile URLs work too)
2. Choose whether to **include replies** (on by default — replies capture casual, real-time activity)
3. Set **Tweets to Analyze** (default 500; more samples = a sharper pattern)
4. Optionally set a **Time Zone Offset** (e.g. `-5`, `1`, `5.5`) to skip auto-detection
5. Run the actor — the report appears in the **Dataset** tab

### Output format

A single record per run:

```json
{
  "username": "elonmusk",
  "platform": "x",
  "samplesAnalyzed": 500,
  "timeRange": { "earliest": "2024-05-01T...", "latest": "2024-06-03T...", "spanDays": 33 },
  "timezone": { "mode": "inferred", "offsetHours": -6, "label": "UTC-6", "confidence": "high", "note": "..." },
  "mostActiveDay": "Wednesday",
  "mostActiveHour": "20:00",
  "quietHours": ["03:00", "04:00", "05:00", "06:00"],
  "weekdayShare": 0.78,
  "weekendShare": 0.22,
  "topSlots": [{ "day": "Wednesday", "hour": "20:00", "count": 41, "share": 0.082 }],
  "hourHistogram": [/* 24 counts, local */],
  "dayHistogram": [/* 7 counts, Monday-first */],
  "dayNames": ["Monday", "...", "Sunday"],
  "heatmap": { "Monday": [/* 24 */], "...": [] },
  "heatmapUtc": { "Monday": [/* 24 */], "...": [] }
}
````

Build a visual heatmap straight from `heatmap`, or chart `hourHistogram` / `dayHistogram` for a quick view.

### Related X (Twitter) actors

Part of a complete X (Twitter) toolkit — explore the rest of the suite:

- [X (Twitter) Profile Scraper](https://apify.com/seemuapps/x-profile-scraper) — Public profile data — bio, counts, links
- [X (Twitter) User Tweets Scraper](https://apify.com/seemuapps/x-user-tweets-by-username) — Full timeline of any account by username
- [X (Twitter) Tweet Scraper](https://apify.com/seemuapps/x-tweet-scraper) — Search and export tweets by query, hashtag, user
- [X (Twitter) Tweet Replies Scraper](https://apify.com/seemuapps/x-tweet-replies-scraper) — Every reply under a post for sentiment analysis
- [X (Twitter) Quote Tweets Scraper](https://apify.com/seemuapps/x-quote-tweets-scraper) — Every quote tweet of a post with engagement
- [X (Twitter) Followers & Following Scraper](https://apify.com/seemuapps/x-followers-following-scraper) — Full followers and following lists, no login
- [X (Twitter) List Members Scraper](https://apify.com/seemuapps/x-list-members-scraper) — Members or followers of any public list
- [X (Twitter) MCP Server](https://apify.com/seemuapps/x-mcp) — All X tools for AI agents via MCP

# Actor input Schema

## `username` (type: `string`):

X handle, with or without leading @. Profile URLs (https://x.com/username) are also accepted.

## `includeReplies` (type: `boolean`):

Include replies the account posted to others. Replies capture casual, real-time activity, so leaving this on gives a sharper active-hours picture.

## `maxSamples` (type: `integer`):

How many recent tweets to sample for the heatmap (1–500). More samples = a sharper pattern.

## `timezoneOffset` (type: `number`):

The account's UTC offset in hours, e.g. -5 for US Eastern, 1 for Central Europe, 5.5 for India. Leave blank to auto-detect the time zone from the account's quietest posting window.

## Actor input object example

```json
{
  "username": "elonmusk",
  "includeReplies": true,
  "maxSamples": 500
}
```

# Actor output Schema

## `report` (type: `string`):

A single record: username, samplesAnalyzed, timeRange, detected timezone (offset, label, confidence), mostActiveDay, mostActiveHour, quietHours, weekday/weekend split, topSlots, hourHistogram (24), dayHistogram (7, Mon-first), and a full day-by-hour heatmap in both local and UTC time.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "username": "elonmusk"
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/x-active-hours-analyzer").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "username": "elonmusk" }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/x-active-hours-analyzer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "username": "elonmusk"
}' |
apify call seemuapps/x-active-hours-analyzer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=seemuapps/x-active-hours-analyzer",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "X (Twitter) Active Hours & Posting Times Analyzer",
        "description": "Find out when any public X (Twitter) account is most active get a day-by-hour posting heatmap, peak days and hours, and the account's likely time zone.",
        "version": "1.0",
        "x-build-id": "7KuAai6BtiKR7CMwn"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/seemuapps~x-active-hours-analyzer/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-seemuapps-x-active-hours-analyzer",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/seemuapps~x-active-hours-analyzer/runs": {
            "post": {
                "operationId": "runs-sync-seemuapps-x-active-hours-analyzer",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/seemuapps~x-active-hours-analyzer/run-sync": {
            "post": {
                "operationId": "run-sync-seemuapps-x-active-hours-analyzer",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "username"
                ],
                "properties": {
                    "username": {
                        "title": "Username",
                        "type": "string",
                        "description": "X handle, with or without leading @. Profile URLs (https://x.com/username) are also accepted."
                    },
                    "includeReplies": {
                        "title": "Include Replies",
                        "type": "boolean",
                        "description": "Include replies the account posted to others. Replies capture casual, real-time activity, so leaving this on gives a sharper active-hours picture.",
                        "default": true
                    },
                    "maxSamples": {
                        "title": "Tweets to Analyze",
                        "minimum": 1,
                        "maximum": 500,
                        "type": "integer",
                        "description": "How many recent tweets to sample for the heatmap (1–500). More samples = a sharper pattern.",
                        "default": 500
                    },
                    "timezoneOffset": {
                        "title": "Time Zone Offset (optional)",
                        "type": "number",
                        "description": "The account's UTC offset in hours, e.g. -5 for US Eastern, 1 for Central Europe, 5.5 for India. Leave blank to auto-detect the time zone from the account's quietest posting window."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```