📸 Instagram Reels Scraper

Actor: esdrasdw/instagram-reels-scrapy-low-cost

Collect clean metadata of Instagram Reels from the profiles you provide and get results in an Apify Dataset ready to export as JSON / CSV / NDJSON for dashboards, automation, and reports.
The Dataset includes a handy Overview table and a richer Advanced view.

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🚀 Perfect for

• 📊 Building performance dashboards (views, likes, comments)
• 🧠 Content curation and auditing
• 🏆 Creating ranked lists and analytics from structured exports

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⚙️ Quickstart (Apify Console)

1. Open the Actor page and click Run.
2. In Input, fill:
   • Instagram usernames (without @): one per line (e.g., instagram). Required.
   • Quantity per user: max Reels per profile. Required. Default 100.
   • What to extract? (optional): leave empty for the automatic preset (thumb, title, link, date, metrics) or select your custom fields.
3. After the run, open Storage → Dataset to browse and export your results.
   The default Overview table shows the most important columns.

⚠️ Required fields in Input: usernames, quantity_per_user.

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🧩 Input parameters (reference)

• usernames (array, required)
  One or more profiles (without @). The UI accepts one per line. Pattern allows letters, digits, dot, and underscore.
  Default example: ["instagram"]

• quantity_per_user (integer, required)
  Maximum Reels per profile (after any filters). Minimum 1. Default 100.

• selected_fields (array, optional)
  Leave empty to use the automatic preset of essential fields, or select the exact fields you want.

Selectable fields (full catalog):
thumb, titulo, usuario, link_post, data_criacao_iso, visualizacoes, curtidas, comentarios, duracao, aspect_ratio, url_video_preferencial, codigo, id, caption, video_versions, dash_qualidades, spritesheet, audio_original, thumbs, flags, owner, product_type, media_type, original_width, original_height.

💡 Tip: For lighter exports and faster browsing, pick only the fields you really need.

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📦 Output (Dataset)

Each dataset item is one Reel.
The Overview view includes these essentials:
thumb, titulo, usuario, link_post, data_criacao_iso, visualizacoes, curtidas, comentarios, duracao, aspect_ratio, url_video_preferencial, codigo, id.

The Advanced view adds technical metadata when you select those fields:
caption, video_versions, dash_qualidades, spritesheet, audio_original, thumbs, flags, owner, product_type, media_type, original_width, original_height.

Example item (JSON):

{
  "thumb": "https://.../thumb.jpg",
  "titulo": "Weekly highlights",
  "usuario": "instagram",
  "link_post": "https://www.instagram.com/p/ABC123/",
  "data_criacao_iso": "2025-10-21T18:42:10Z",
  "visualizacoes": 123456,
  "curtidas": 7890,
  "comentarios": 321,
  "duracao": 27.4,
  "aspect_ratio": "9:16",
  "url_video_preferencial": "https://.../video.mp4",
  "codigo": "ABC123",
  "id": "3747990562646302857"
}

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🔗 Run by API

🧑‍💻 Start a run (cURL)

curl -X POST "https://api.apify.com/v2/acts/esdrasdw~instagram-reels-scrapy-low-cost/runs?token=APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "usernames": ["instagram", "loud_coringa"],
    "quantity_per_user": 50,
    "selected_fields": [
      "thumb","titulo","usuario","link_post",
      "visualizacoes","curtidas","comentarios","duracao"
    ]
  }'

🐍 Start a run (Python)

import requests, json

ACT = "esdrasdw/instagram-reels-scrapy-low-cost"
TOKEN = "APIFY_TOKEN"

payload = {
    "usernames": ["instagram", "loud_coringa"],
    "quantity_per_user": 50,
    "selected_fields": [
        "thumb","titulo","usuario","link_post",
        "visualizacoes","curtidas","comentarios","duracao"
    ],
}

res = requests.post(
    f"https://api.apify.com/v2/acts/{ACT.replace('/', '~')}/runs?token={TOKEN}",
    headers={"Content-Type": "application/json"},
    data=json.dumps(payload),
    timeout=60,
)
print(res.json())

⚡ Start a run (Node.js)

import fetch from "node-fetch";

const ACT = "esdrasdw/instagram-reels-scrapy-low-cost";
const TOKEN = "APIFY_TOKEN";

const res = await fetch(
  `https://api.apify.com/v2/acts/${ACT.replace("/", "~")}/runs?token=${TOKEN}`,
  {
    method: "POST",
    headers: { "Content-Type": "application/json" },
    body: JSON.stringify({
      usernames: ["instagram", "loud_coringa"],
      quantity_per_user: 50,
      selected_fields: [
        "thumb","titulo","usuario","link_post",
        "visualizacoes","curtidas","comentarios","duracao"
      ],
    }),
  }
);

console.log(await res.json());

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📤 Export your results

In the run’s Dataset, click Export or fetch by API:

• JSON:
  GET https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=json&clean=true
• CSV:
  GET https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=csv&clean=true
• NDJSON:
  GET https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=ndjson&clean=true

🗂️ The Overview and Advanced dataset views are already configured for pleasant browsing.

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🧠 Good practices

• ⚡ Start with 20–50 per profile while testing to keep runs fast and outputs small.
• ✂️ Use selected_fields to include only what you need (smaller exports, easier analysis).
• 🔁 Reuse the same input with scheduled runs and consume the Dataset via API in your BI/ETL.

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📝 Copy‑paste input example

{
  "usernames": ["instagram", "loud_coringa"],
  "quantity_per_user": 80,
  "selected_fields": [
    "thumb", "titulo", "usuario", "link_post", "data_criacao_iso",
    "visualizacoes", "curtidas", "comentarios", "duracao",
    "url_video_preferencial", "codigo", "id"
  ]
}

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💬 Support & troubleshooting

• 🧩 If the output looks too minimal, review selected_fields: leaving it empty enables the automatic essential preset.
• 🔍 Use the Overview view for a quick scan and the Advanced view to inspect technical metadata.