# Instagram Reels Search Scraper (`seemuapps/instagram-reels-search-scraper`) Actor

Search Instagram Reels by keyword and scrape captions, view, like and comment counts, author profiles, and video URLs. Find trending and viral Reels in any niche.

- **URL**: https://apify.com/seemuapps/instagram-reels-search-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Social media, Videos, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $7.00 / 1,000 single reels

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

## Instagram Reels Search Scraper

Search Instagram Reels by keyword and scrape captions, view, like and comment counts, author profiles, and video URLs. Find trending and viral Reels in any niche. No login or cookies required.

### What you get

For every Reel matching your keyword, the scraper returns a structured record with:

**Reel data**
- Post ID, shortcode, and Reel URL
- Caption, plus extracted hashtags and mentions
- Created timestamp (ISO 8601 and Unix)
- Like, comment, and play counts
- Video duration, thumbnail and video URLs

**Author profile**
- Author ID, username, full name
- Profile picture URL, verified and private flags

**Pagination**
- `NEXT_PAGE_ID` cursor so you can resume from where a previous run left off

### Use cases

- **Trend & viral discovery** — find the Reels gaining traction around a topic
- **Content research** — study high-performing hooks, formats, and captions in your niche
- **Competitor monitoring** — track what's ranking for the keywords your brand cares about
- **Creator sourcing** — surface accounts making popular Reels on a subject
- **Ad & campaign inspiration** — collect reference Reels by theme before producing content

### How to use

1. Enter a **search keyword** or phrase (e.g. `morning routine`, `home workout`)
2. Set **Max Items** — default 100 per run, or 0 for unlimited (stops ~60s before the actor timeout)
3. Run the actor — results appear in the **Dataset** tab
4. To fetch more, copy `NEXT_PAGE_ID` from the **Key-value store** tab and paste it into **Page ID** on the next run

### Output format

Each dataset record:

```json
{
  "postId": "3834630395153755059",
  "shortcode": "DU3WAcUDiuz",
  "postUrl": "https://www.instagram.com/reel/DU3WAcUDiuz/",
  "mediaType": "video",
  "productType": "clips",
  "caption": "My realistic 5am morning routine ☀️",
  "hashtags": ["morningroutine", "5amclub"],
  "mentions": [],
  "likeCount": 2503,
  "commentCount": 88,
  "playCount": 74336,
  "videoDuration": 32.44,
  "authorUsername": "exampleuser",
  "thumbnailUrl": "https://scontent.cdninstagram.com/..."
}
````

### Pagination

Each run returns up to **Max Items** records. To collect more across multiple runs, copy `NEXT_PAGE_ID` from the **Key-value store** tab and paste it into **Page ID** on the next run. Repeat until `NEXT_PAGE_ID` is `null` (all available Reels fetched).

### Related Instagram actors

Part of a complete Instagram scraping toolkit — explore the rest of the suite:

- [Instagram Profile Scraper](https://apify.com/seemuapps/instagram-profile-scraper) — Profile metadata for any public account
- [Instagram Posts & Reels Scraper](https://apify.com/seemuapps/instagram-posts-scraper) — All posts and Reels from a profile
- [Instagram Post Details Scraper](https://apify.com/seemuapps/instagram-post-details-scraper) — Full details for any post or Reel by URL
- [Instagram Comments Scraper](https://apify.com/seemuapps/instagram-comments-scraper) — All comments on a post or Reel
- [Instagram Post Likers Scraper](https://apify.com/seemuapps/instagram-post-likers-scraper) — Users who liked a post or Reel
- [Instagram Followers Scraper](https://apify.com/seemuapps/instagram-followers-scraper) — Followers and following lists
- [Instagram Hashtag Scraper](https://apify.com/seemuapps/instagram-hashtag-scraper) — Top posts and Reels for any hashtag
- [Instagram Location Posts Scraper](https://apify.com/seemuapps/instagram-location-posts-scraper) — Posts tagged at any location
- [Instagram Tagged Posts Scraper](https://apify.com/seemuapps/instagram-tagged-posts-scraper) — Posts a profile is tagged in
- [Instagram User Search Scraper](https://apify.com/seemuapps/instagram-user-search-scraper) — Discover accounts by keyword
- [Instagram Related Profiles Scraper](https://apify.com/seemuapps/instagram-related-profiles-scraper) — Find similar/suggested profiles
- [Instagram Story Scraper](https://apify.com/seemuapps/instagram-story-scraper) — Active stories for any profile
- [Instagram Highlights Scraper](https://apify.com/seemuapps/instagram-highlights-scraper) — Highlights and their stories
- [Instagram Email & Phone Scraper](https://apify.com/seemuapps/instagram-contact-scraper) — Emails and phone numbers from profiles
- [Instagram Influencer Analytics Scraper](https://apify.com/seemuapps/instagram-influencer-analytics-scraper) — Engagement rate and creator analytics
- [Instagram MCP Server](https://apify.com/seemuapps/instagram-mcp) — All Instagram tools for AI agents via MCP

# Actor input Schema

## `query` (type: `string`):

A keyword or phrase to search Instagram Reels for (e.g. "morning routine", "home workout"). Returns matching Reels ranked by Instagram.

## `maxItems` (type: `integer`):

Maximum number of Reels to scrape. Set 0 for unlimited (caps at platform timeout).

## `pageId` (type: `string`):

Optional. Paste NEXT\_PAGE\_ID from the previous run's Key-value store to fetch the next page of Reels.

## Actor input object example

```json
{
  "query": "morning routine",
  "maxItems": 100
}
```

# Actor output Schema

## `results` (type: `string`):

Each record contains postId, shortcode, postUrl, mediaType, caption, hashtags, mentions, engagement counts (likeCount, commentCount, playCount), videoDuration, media URLs, and author profile.

## `nextPageId` (type: `string`):

NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when the list is exhausted.

# 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 = {
    "query": "morning routine"
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/instagram-reels-search-scraper").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 = { "query": "morning routine" }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/instagram-reels-search-scraper").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 '{
  "query": "morning routine"
}' |
apify call seemuapps/instagram-reels-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=seemuapps/instagram-reels-search-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Instagram Reels Search Scraper",
        "description": "Search Instagram Reels by keyword and scrape captions, view, like and comment counts, author profiles, and video URLs. Find trending and viral Reels in any niche.",
        "version": "1.0",
        "x-build-id": "yvn7DnvkQ2PVLLmxo"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/seemuapps~instagram-reels-search-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-seemuapps-instagram-reels-search-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/seemuapps~instagram-reels-search-scraper/runs": {
            "post": {
                "operationId": "runs-sync-seemuapps-instagram-reels-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/seemuapps~instagram-reels-search-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-seemuapps-instagram-reels-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "query"
                ],
                "properties": {
                    "query": {
                        "title": "Search keyword",
                        "type": "string",
                        "description": "A keyword or phrase to search Instagram Reels for (e.g. \"morning routine\", \"home workout\"). Returns matching Reels ranked by Instagram."
                    },
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of Reels to scrape. Set 0 for unlimited (caps at platform timeout).",
                        "default": 100
                    },
                    "pageId": {
                        "title": "Page ID (pagination)",
                        "type": "string",
                        "description": "Optional. Paste NEXT_PAGE_ID from the previous run's Key-value store to fetch the next page of Reels."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```