Instagram Reels Scrapy   Ultra Barato 2 avatar
Instagram Reels Scrapy Ultra Barato 2

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Instagram Reels Scrapy   Ultra Barato 2

Instagram Reels Scrapy Ultra Barato 2

Developed by

Esdrasdw

Esdrasdw

Maintained by Community

Extraia rapidamente metadados essenciais de Instagram Reels (thumb, autor, caption, duração, views, likes). Input flexível; comentários e download de mídia são opcionais. Leve, rápido e econômico — ideal para dashboards, clipping e automações

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Pricing

from $0.20 / 1,000 results

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Last modified

2 days ago

📸 Instagram Reels Scraper

Actor: esdrasdw/instagram-reels-scrapy---ultra-barato

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.


🚀 Perfect for

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

⚙️ 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.


🧩 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.


📦 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"
}

🔗 Run by API

🧑‍💻 Start a run (cURL)

curl -X POST "https://api.apify.com/v2/acts/esdrasdw~instagram-reels-scrapy---ultra-barato/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---ultra-barato"
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---ultra-barato";
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());

📤 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.


🧠 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.

📝 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"
]
}

💬 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.