# Instagram Reels Scraper (`scrapemesh/instagram-reels-scraper`) Actor

🎬 instagram-reels-scraper extracts Instagram Reels at scale — captions, hashtags, views, likes, comments, audio, publish time, thumbnails & profile data. 📊 Export CSV/JSON or via API for analytics, social listening & competitor research. ⚡ Fast, reliable, scalable. 🚀

- **URL**: https://apify.com/scrapemesh/instagram-reels-scraper.md
- **Developed by:** [ScrapeMesh](https://apify.com/scrapemesh) (community)
- **Categories:** Automation, Lead generation, Social media
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$19.99/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

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

## 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

### What does Instagram Reels Scraper do? 

The Instagram Reels Scraper captures structured data from public Instagram Reels—including captions, hashtags, audio info, video URLs, view/play counts, likes, comments, thumbnails, tagged users, and more. Point it at usernames, profile URLs, or reel links, and get clean JSON/CSV/Excel ready for dashboards, Python notebooks, and BI tools.  
For SEO and growth teams, it reveals high-performing hooks, music trends, and posting cadence. For developers, it’s perfect with Node.js/Python SDKs and webhooks. Whether you need an apify instagram reels scraper, an instagram reels scraper python workflow, or to test ideas from instagram reels scraper github, this tool gives you reliable, compliant access to public data—fast. 🚀

### What Instagram Reels” can I extract? 📊 

Use the Instagram Reels Scraper to collect granular fields for analytics, automation, and reporting. Below is a snapshot of commonly returned data.

| 🔍 Data Type | 📝 Description |
| --- | --- |
| 🔗 Reel URL / Shortcode | Canonical URL and shortcode (great for deduping) |
| 🧑 Author | Username, full name, profile image, verification |
| 🗒️ Caption | Full text, emojis preserved; NLP-ready |
| 🏷️ Hashtags & Mentions | Arrays for topic modeling and tracking |
| 🎵 Audio / Music | Track/artist name, original audio flags |
| 🎞️ Media | Video URL(s), thumbnail, dimensions, duration |
| 📈 Engagement | Likes, comments, views and video play count |
| 👥 Tagged/Co-authors | Collaboration metadata |
| 💬 Top/Recent Comments | Comment text, likes, replies (sample) |
| 🕒 Timestamp | ISO publish time |
| 📍 Location (if any) | Structured place data |
| 🪧 Sponsored flags | Paid partnership indicators (when present) |

  

#### ⭐ Key Features of “Instagram Reels Scraper” (180–200 words)

*   ⚡ High-throughput, stable scraping for instagram reels scraping across many profiles.  
      
    
*   🎞️ All Reel essentials: captions, audio metadata, video URLs, dimensions, duration, thumbnail.  
      
    
*   📊 Engagement capture: likes, views, video play count, comment samples.  
      
    
*   🏷️ Metadata richness: hashtags, mentions, tagged users, coauthor producers.  
      
    
*   🔌 Developer-first: REST API, SDKs (Node/Python), perfect for instagram reels scraper python pipelines.  
      
    
*   🧠 NLP-ready output for topic modeling, sentiment, hook/CTA detection.  
      
    
*   🧰 Automation-friendly: webhooks, schedulers—pair with an instagram reels scraper auto poster (post-processing) or instagram reel downloader step.  
      
    
*   🧩 Flexible exports: JSON, CSV, Excel, HTML; integrate with Sheets, Zapier/Make, Airbyte.  
      
    
*   🛡️ Compliance-aware: public data only; ideal for audits and enterprise workflows.  
      
    
*   🌐 No login needed for public content; runs online on Apify (great vs. ad-hoc instagram reels scraper app/apk claims).  
          

Looking for open-source experiments? Explore ideas from instagram reel scraper github—then run production workloads on Apify for reliability and scale.

### How to use Instagram Reels Scraper 🛠️ 

Step-by-Step Guide

1.  Log in to Apify — Create a free account or sign in.  
      
    
2.  Select the Actor — Search “Instagram Reels Scraper” (aka apify instagram reels scraper).  
      
    
3.  Enter Input Data — Provide usernames, profile URLs, or reel links (shortcodes/URLs).  
      
    
4.  Choose Options — Set max items, date filters (e.g., last 30 days), include top comments, etc.  
      
    
5.  Run the Actor — Hit Start; the scraper fetches and structures reel data automatically.  
      
    
6.  Download Results — Export JSON/CSV/Excel/HTML, or pull via API/webhooks into Sheets/DB/BI.

### Input
```json
{
    "proxyConfiguration": {
        "useApifyProxy": false
    },
    "urls": [
        {
            "url": "https://www.instagram.com/cristiano/",
            "method": "GET"
        }
    ]
}
````

### Output

```json
[
  {
    "username": "cristiano",
    "scraped_at": 1758818318.2891665,
    "sort_order": "newest",
    "max_comments": 50,
    "reel_data": {
      "media": {
        "caption_is_edited": true,
        "device_timestamp": 1758629963780136,
        "filter_type": 0,
        "has_shared_to_fb": 0,
        "is_post_live_clips_media": false,
        "like_and_view_counts_disabled": false,
        "fbid": "18149858683404325",
        "deleted_reason": 0,
        "is_unified_video": false,
        "pk": "3727980973477364718",
        "id": "3727980973477364718_1513490980",
        "strong_id__": "3727980973477364718_1513490980",
        "has_delayed_metadata": false,
        "mezql_token": "",
        "share_count_disabled": false,
        "should_request_ads": false,
        "is_reshare_of_text_post_app_media_in_ig": false,
        "integrity_review_decision": "pending",
        "collaborator_edit_eligibility": false,
        "client_cache_key": "MzcyNzk4MDk3MzQ3NzM2NDcxOA==.3",
        "has_privately_liked": false,
        "is_visual_reply_commenter_notice_enabled": true,
        "comment_threading_enabled": true,
        "translated_langs_for_autodub": [],
        "commerciality_status": "not_commercial",
        "is_quiet_post": false,
        "subtype_name_for_REST__": "XDTClipsMedia",
        "has_high_risk_gen_ai_inform_treatment": false,
        "play_count": 37796913,
        "ig_play_count": 37796913,
        "are_remixes_crosspostable": true,
        "is_third_party_downloads_eligible": true,
        "has_audio": true,
        "video_duration": 47.5,
        "is_dash_eligible": 1,
        "can_viewer_reshare": true,
        "can_viewer_save": true,
        "code": "DO8cvGViIPu",
        "enable_media_notes_production": false,
        "has_liked": false,
        "has_views_fetching": true,
        "is_comments_gif_composer_enabled": false,
        "is_organic_product_tagging_eligible": false,
        "media_reposter_bottomsheet_enabled": false,
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              "url": "https://scontent-iad3-2.cdninstagram.com/v/t51.2885-19/498707137_18506209855018981_4274309452484658175_n.jpg?stp=dst-jpg_s320x320_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby4xMDgwLmMyIn0&_nc_ht=scontent-iad3-2.cdninstagram.com&_nc_cat=1&_nc_oc=Q6cZ2QFXqe5FeBT_rRwT4Lp5Gdi7_dPJYS0JWioWDqQr-kijKlUknByZW27aDqfPjlAYw2o&_nc_ohc=cpaUy1zk410Q7kNvwGhGsEd&_nc_gid=lhNacLI50Hh3--4XgQiNbw&edm=ACHbZRIBAAAA&ccb=7-5&oh=00_AfYDl5WxLrWaIglCNk2tayLtJFTJAZbsB7t_mzvBKmSW7w&oe=68DB3BF1&_nc_sid=c024bc",
              "width": 320
            },
            {
              "height": 640,
              "url": "https://scontent-iad3-2.cdninstagram.com/v/t51.2885-19/498707137_18506209855018981_4274309452484658175_n.jpg?stp=dst-jpg_s640x640_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby4xMDgwLmMyIn0&_nc_ht=scontent-iad3-2.cdninstagram.com&_nc_cat=1&_nc_oc=Q6cZ2QFXqe5FeBT_rRwT4Lp5Gdi7_dPJYS0JWioWDqQr-kijKlUknByZW27aDqfPjlAYw2o&_nc_ohc=cpaUy1zk410Q7kNvwGhGsEd&_nc_gid=lhNacLI50Hh3--4XgQiNbw&edm=ACHbZRIBAAAA&ccb=7-5&oh=00_AfZQF_WOuIOHTmhumJPeKe-vQVX6J1zmYQ7Dc1YMislHQA&oe=68DB3BF1&_nc_sid=c024bc",
              "width": 640
            }
          ],
          "is_private": false,
          "is_ring_creator": false,
          "show_ring_award": false,
          "is_verified": true,
          "profile_pic_id": "3636830683279841475_1513490980",
          "profile_pic_url": "https://scontent-iad3-2.cdninstagram.com/v/t51.2885-19/498707137_18506209855018981_4274309452484658175_n.jpg?stp=dst-jpg_s150x150_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLmRqYW5nby4xMDgwLmMyIn0&_nc_ht=scontent-iad3-2.cdninstagram.com&_nc_cat=1&_nc_oc=Q6cZ2QFXqe5FeBT_rRwT4Lp5Gdi7_dPJYS0JWioWDqQr-kijKlUknByZW27aDqfPjlAYw2o&_nc_ohc=cpaUy1zk410Q7kNvwGhGsEd&_nc_gid=lhNacLI50Hh3--4XgQiNbw&edm=ACHbZRIBAAAA&ccb=7-5&oh=00_AfYcX-ab7pBel07xjr7oNjfz6B8MC_WFo6sTqBZN355aNg&oe=68DB3BF1&_nc_sid=c024bc",
          "show_account_transparency_details": true,
          "transparency_product_enabled": false,
          "username": "alnassr",
          "is_embeds_disabled": false,
          "eligible_for_text_app_activation_badge": false
        },
        "is_artist_pick": false,
        "product_type": "clips",
        "is_paid_partnership": false,
        "boost_unavailable_identifier": null,
        "boost_unavailable_reason": null,
        "boost_unavailable_reason_v2": [],
        "subscribe_cta_visible": false,
        "creative_config": null,
        "is_cutout_sticker_allowed": false,
        "cutout_sticker_info": [],
        "gen_ai_detection_method": {
          "detection_method": "NONE"
        },
        "open_carousel_show_follow_button": false,
        "is_tagged_media_shared_to_viewer_profile_grid": false,
        "should_show_author_pog_for_tagged_media_shared_to_profile_grid": false,
        "is_social_ufi_disabled": false,
        "is_eligible_for_meta_ai_share": true,
        "meta_ai_suggested_prompts": [],
        "gen_ai_chat_with_ai_cta_info": null,
        "can_reply": false,
        "floating_context_items": [],
        "is_eligible_content_for_post_roll_ad": false,
        "related_ads_pivots_media_info": "NOT_FEED_TIMELINE_REQUEST",
        "is_open_to_public_submission": false,
        "is_photo_comments_composer_enabled_for_author": false,
        "can_view_more_preview_comments": false,
        "preview_comments": [],
        "hide_view_all_comment_entrypoint": false,
        "comment_inform_treatment": {
          "action_type": null,
          "should_have_inform_treatment": false,
          "text": "",
          "url": null
        },
        "has_more_comments": true,
        "max_num_visible_preview_comments": 2,
        "explore_hide_comments": false,
        "hidden_likes_string_variant": -1,
        "video_sticker_locales": [],
        "media_attributions_data": [],
        "media_ui_attributions_data": [],
        "is_eligible_for_poe": false,
        "shop_routing_user_id": null,
        "igbio_product": null,
        "product_suggestions": [],
        "commerce_integrity_review_decision": "",
        "is_reuse_allowed": false,
        "logging_info_token": "GCBkNDBmZTJkNTk0ZTU0ZWUzYjMzMjMyMWExNjkzNjc3MHgDbmNnAA==",
        "view_state_item_type": 128
      }
    }
  }, .......
]
```

### 🎯 Use Cases

- Influencer marketing — Rank creators by view rate, play count, and hook styles.

- Competitor intelligence — Track posting cadence, audio trends, and collaborations.

- Creative testing — Compare thumbnails, captions, and audio choices across verticals.

- SEO & content ops — Mine captions for topic clusters; build content briefs from high-engagement Reels.

- Market research — Run NLP on captions/comments to surface themes and sentiment.

- Brand monitoring — Capture mentions/tagged Reels and UGC for reporting.

- Data pipelines — Feed warehouses and dashboards (Looker/Power BI/Mode) for weekly exec updates.

- Training data — Build labeled datasets for recommendation, hook detection, or audio trend prediction.

Bonus: Use an instagram reel link scraper to maintain a canonical list of targets, and an instagram reel downloader (separate tool) to save samples for creative reviews.

### Why choose us? 🏆

- ✅ Reliability at scale — Production-grade runs, error-tolerant batching, smart retries.

- 🔍 Deep field coverage — Audio, video, engagement, coauthors, tags, comments sample.

- 🧱 Enterprise-ready — Datasets, APIs, webhooks, and versioned runs for reproducibility.

- 🧩 Plug-and-play — Works with Python and Node; ideal for CI/CD and orchestration.

- 💾 Flexible outputs — JSON/CSV/Excel/HTML; stream to Sheets, S3, BigQuery, Snowflake.

- ⚖️ Public-data focus — Clear boundaries that help legal/compliance teams sign off.

- 💬 Human support — Docs, examples, and responsive help for smooth adoption.

- 💸 Great value — Scale up or down; competitive pay-per-result pricing beats DIY maintenance.

### How many results can you scrape with Instagram Reels Scraper ? 📈

Capacity scales with input size, post availability, and your plan. Typical patterns:

- Focused audits — Pull the latest N Reels per handle for quick checks.

- Benchmark panels — Track 100–1,000+ creators across a niche weekly.

- Full-funnel research — Mix profile feeds and specific reel URLs to guarantee coverage of key assets.

Performance helpers

- 🔁 Scheduling (daily/weekly) ensures you never miss new Reels.

- 🎯 Date filters reduce noise and cost (e.g., “last 60 days”).

- 🧹 Field selection: include top comments only when needed; fetch full threads with a dedicated instagram reels comments scraper.

- 🧰 Shard inputs by region or language for faster, parallelized runs.

Cost & strategy

- Start with a pilot run to validate fields and estimate PPR (pay-per-result).

- Scale with batched lists; export straight to a warehouse for longitudinal KPIs (views/play count deltas, velocity curves).

- Combine with a lightweight instagram reel link scraper to maintain a canonical target list and eliminate duplicates.

Bottom line: From hundreds to tens of thousands of Reels, the scraper keeps pace. Start small, confirm ROI, then turn on scheduling to maintain continuously fresh, analysis-ready data for marketing, product, and research teams.

### Is it legal to scrape Instagram Reels? ⚖️

This tool extracts publicly available information from Instagram. It does not collect private fields (e.g., emails, DMs). However, public posts and comments may include personal data. You are responsible for:

- Complying with applicable laws (e.g., GDPR/CCPA) and platform terms.

- Using data for legitimate purposes with data minimization, retention, and security controls.

- Honoring takedown/opt-out requests where required.

### FAQ ❓

#### 1) Is there an instagram reels scraper free or online option?

Yes—Apify offers free monthly credits to run smaller jobs online before scaling.

#### 2) Can I use instagram reels scraper python?

Absolutely. Use Apify’s REST API or SDKs from Python for pipelines and notebooks.

#### 3) What about instagram reels scraper github projects?

GitHub is great for prototyping. For reliability, run production workloads on Apify.

#### 4) Can this power an instagram reels scraper auto poster?

You can chain a separate auto-poster to your results via webhooks (follow platform rules).

#### 5) Is there an instagram reels comments scraper?

Use a dedicated comments Actor if you need full threads; this scraper returns top/recent samples.

#### 6) Can I remove text on Reels or remove Reels from Instagram?

This tool does not edit Instagram. For UX questions like “how do you remove reels from instagram”, use Instagram’s in-app settings/help.

#### 7) Does it work as an instagram reels scraper app/apk or instagram reels scraper download?

It runs online (cloud). Export datasets; no unsafe APK needed.

#### 8) Is there an instagram reel link scraper?

You can input Reel URLs directly and also maintain/link-harvest lists to guarantee inclusion.

# Actor input Schema

## `username` (type: `array`):

🎯 Add one or multiple usernames, @handles, or profile URLs to start scraping reels.

## `resultsLimit` (type: `integer`):

📦 Maximum number of reels/posts to collect per username.

## `onlyPostsNewerThan` (type: `string`):

🗓️ Fetch only recent posts after a specific date. Use date picker for absolute date (YYYY-MM-DD) or type relative time like 7 days, 2 weeks, or 1 month. Leave empty to fetch all.

## `skipPinnedPosts` (type: `boolean`):

🙈 Turn on to ignore pinned posts and focus on regular timeline content.

## `includeSharesCount` (type: `boolean`):

📈 Include share count for each post when Instagram makes it available.

## `includeTranscript` (type: `boolean`):

🧠 Extract and include caption/transcript text in your output data.

## `includeDownloadedVideo` (type: `boolean`):

💾 Download reel videos to Key-Value Store and include downloadable links in output.

## `proxyConfiguration` (type: `object`):

🔐 The actor always uses Apify's residential proxy (3 attempts) for reliability. If you provide your own custom proxy URLs here, the actor will try those first and automatically fall back to residential if they fail. Apify proxy group selections are ignored — residential is always the safety net.

## Actor input object example

```json
{
  "username": [
    "natgeo"
  ],
  "resultsLimit": 10,
  "onlyPostsNewerThan": "",
  "skipPinnedPosts": false,
  "includeSharesCount": false,
  "includeTranscript": false,
  "includeDownloadedVideo": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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": [
        "natgeo"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemesh/instagram-reels-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 = {
    "username": ["natgeo"],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("scrapemesh/instagram-reels-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 '{
  "username": [
    "natgeo"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call scrapemesh/instagram-reels-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Instagram Reels Scraper",
        "description": "🎬 instagram-reels-scraper extracts Instagram Reels at scale — captions, hashtags, views, likes, comments, audio, publish time, thumbnails & profile data. 📊 Export CSV/JSON or via API for analytics, social listening & competitor research. ⚡ Fast, reliable, scalable. 🚀",
        "version": "0.1",
        "x-build-id": "yx44NOGDeHaKQlwM5"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapemesh~instagram-reels-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapemesh-instagram-reels-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapemesh~instagram-reels-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapemesh-instagram-reels-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapemesh~instagram-reels-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapemesh-instagram-reels-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "username"
                ],
                "properties": {
                    "username": {
                        "title": "👤📲 Instagram Usernames / Profiles",
                        "type": "array",
                        "description": "🎯 Add one or multiple usernames, @handles, or profile URLs to start scraping reels.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "resultsLimit": {
                        "title": "🎞️🔢 Results Limit",
                        "minimum": 1,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "📦 Maximum number of reels/posts to collect per username.",
                        "default": 10
                    },
                    "onlyPostsNewerThan": {
                        "title": "📅⏱️ Only Posts Newer Than",
                        "type": "string",
                        "description": "🗓️ Fetch only recent posts after a specific date. Use date picker for absolute date (YYYY-MM-DD) or type relative time like 7 days, 2 weeks, or 1 month. Leave empty to fetch all.",
                        "default": ""
                    },
                    "skipPinnedPosts": {
                        "title": "📌⏭️ Skip Pinned Posts",
                        "type": "boolean",
                        "description": "🙈 Turn on to ignore pinned posts and focus on regular timeline content.",
                        "default": false
                    },
                    "includeSharesCount": {
                        "title": "🔁📊 Include Shares Count",
                        "type": "boolean",
                        "description": "📈 Include share count for each post when Instagram makes it available.",
                        "default": false
                    },
                    "includeTranscript": {
                        "title": "📝🎙️ Include Transcript",
                        "type": "boolean",
                        "description": "🧠 Extract and include caption/transcript text in your output data.",
                        "default": false
                    },
                    "includeDownloadedVideo": {
                        "title": "⬇️🎥 Include Downloaded Video",
                        "type": "boolean",
                        "description": "💾 Download reel videos to Key-Value Store and include downloadable links in output.",
                        "default": false
                    },
                    "proxyConfiguration": {
                        "title": "🛡️🌐 Proxy Configuration",
                        "type": "object",
                        "description": "🔐 The actor always uses Apify's residential proxy (3 attempts) for reliability. If you provide your own custom proxy URLs here, the actor will try those first and automatically fall back to residential if they fail. Apify proxy group selections are ignored — residential is always the safety net."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
