Rating 4.7
Rating 4.7
Rating 4.5
Rating 4.7
Rating 4.7
Disclaimer : Real Data API only extracts publicly available data while maintaining a strict policy against collecting any personal or identity-related information.
The Instagram Reel Scraper from Real Data API enables businesses, marketers, and analysts to scrape data from Instagram Reels effortlessly. Extract real-time insights on likes, views, comments, captions, and trending audio to track content performance and audience engagement. With the Instagram Reels Scraper, users can analyze social media trends, optimize marketing strategies, and stay ahead in competitive markets. This tool also allows users to scrape Instagram hashtags, providing deeper insights into trending topics and influencer engagement. Supported in Australia, Canada, Germany, France, Singapore, USA, UK, UAE, and India, it delivers localized and global data for better decision-making. Whether for brand monitoring, competitor analysis, or content research, the Instagram Reel Scraper powered by Real Data API is essential for unlocking valuable social media insights.
The Instagram Reel Scraper is a powerful tool designed to scrape data from Instagram Reels, helping businesses, marketers, and analysts gain valuable insights. It extracts key details such as likes, views, comments, captions, hashtags, and trending audio, allowing users to track engagement and content performance. The Instagram Reels Scraper works by scanning public reels, collecting structured data, and filtering out irrelevant information to provide accurate analytics. Additionally, it enables users to scrape Instagram hashtags, helping identify trending topics and influencer activity. By leveraging this data, businesses can optimize their marketing strategies, monitor competitors, and enhance content performance. Whether for brand research, audience analysis, or trend tracking, the Instagram Reel Scraper provides real-time social media insights to stay ahead in the competitive digital landscape.
Extracting data from Instagram Reels is essential for businesses, marketers, and content creators to analyze trends, track engagement, and optimize social media strategies. Using an Instagram Reel Scraper, users can scrape data from Instagram Reels, including likes, views, comments, captions, and trending audio, to understand audience preferences and content performance. Additionally, the Instagram Reels Scraper allows users to scrape Instagram hashtags, helping identify viral trends and influencer activity. By leveraging this data, brands can enhance their marketing campaigns, improve content reach, and stay competitive in the ever-evolving digital landscape.
The legality of using an Instagram Reel Scraper to scrape data from Instagram Reels depends on various factors, including Instagram’s terms of service, data privacy laws, and the method used for data extraction. Instagram prohibits automated data scraping without permission, as stated in its terms of use. Unauthorized scraping may lead to account restrictions, bans, or legal action. However, if data is publicly available and extracted ethically—without violating Instagram’s robots.txt file or bypassing security measures—it may be legally acceptable in some jurisdictions. Some businesses use Instagram Reels Scraper tools for analytics under fair use policies, while others opt for Instagram’s official API for compliant data access. For legal and ethical data collection, users should follow privacy laws like GDPR and CCPA, obtain necessary permissions, and avoid personal or sensitive data extraction. Consulting a legal expert is recommended before scraping Instagram data.
Extracting data from Instagram Reels can be done using an Instagram Reel Scraper or other data extraction methods. Below are the step-by-step instructions to scrape data from Instagram Reels effectively:
1. Choose an Instagram Reel Scraper – Select a reliable Instagram Reels Scraper tool or service designed for data extraction.
2. Define Data Requirements – Identify the data you need, such as likes, views, comments, captions, engagement rates, and trending audio.
3. Set Up the Scraper – Configure the tool by entering target Instagram Reels URLs, hashtags, or user profiles.
4. Scrape Instagram Hashtags & Engagement Metrics – Extract hashtags, post insights, and audience interactions to track trends.
5. Filter & Clean Data – Remove duplicates and irrelevant data to improve accuracy.
6. Store & Analyze Data – Save the extracted data in CSV, JSON, or databases for further analysis.
7. Use Insights for Marketing & Research – Apply the data for trend analysis, competitor tracking, and audience engagement strategies.
An Instagram Reel Scraper offers multiple input options to scrape data from Instagram Reels efficiently. Users can customize their data extraction based on different parameters to obtain specific insights.
Instagram Reel URL
Instagram Username or Profile
Hashtags
Keywords & Topics
Location & Geotags
By leveraging these Instagram Reels Scraper input options, businesses and marketers can access valuable insights to improve content strategy and audience engagement.
Here's a Python script using Selenium and BeautifulSoup to scrape public Instagram Reels data such as likes, views, comments, and captions. Note that Instagram has strict anti-scraping policies, so use this responsibly and ensure compliance with their terms of service.
Requirements
1. Install dependencies:
pip install selenium beautifulsoup4 webdriver-manager
2. Download and set up ChromeDriver or use webdriver-manager for automation.
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from webdriver_manager.chrome import ChromeDriverManager
from bs4 import BeautifulSoup
import time
def scrape_instagram_reel(reel_url):
# Set up Selenium WebDriver
service = Service(ChromeDriverManager().install())
driver = webdriver.Chrome(service=service)
try:
driver.get(reel_url)
time.sleep(5) # Wait for content to load
# Extract page source
soup = BeautifulSoup(driver.page_source, "html.parser")
# Extract reel data
caption = soup.find("meta", property="og:title")["content"]
views = soup.find("meta", property="og:video:view_count")["content"]
video_url = soup.find("meta", property="og:video")["content"]
# Simulate comments and likes extraction (Instagram requires login for this)
likes = "Requires Login"
comments = "Requires Login"
reel_data = {
"Reel URL": reel_url,
"Caption": caption,
"Views": views,
"Video URL": video_url,
"Likes": likes,
"Comments": comments
}
return reel_data
except Exception as e:
return {"Error": str(e)}
finally:
driver.quit()
# Sample usage
reel_url = "https://www.instagram.com/reel/EXAMPLE_REEL_ID/"
result = scrape_instagram_reel(reel_url)
print(result)
{
"Reel URL": "https://www.instagram.com/reel/EXAMPLE_REEL_ID/",
"Caption": "Check out this trending dance challenge! 🔥",
"Views": "1203456",
"Video URL": "https://scontent.cdninstagram.com/v/t50.2886-16/1234567890_n.mp4",
"Likes": "Requires Login",
"Comments": "Requires Login"
}
The Instagram Reel Scraper can be integrated with various platforms and tools to enhance social media analytics, marketing automation, and business intelligence. By leveraging integrations, businesses can scrape data from Instagram Reels and use the insights to optimize engagement, track trends, and improve content strategies.
Integrating the Instagram Reels Scraper with platforms like Google Data Studio, Tableau, or Power BI helps visualize data such as likes, views, comments, and engagement trends. These insights allow businesses to track social media performance effectively.
By connecting the Instagram Reel Scraper with HubSpot, Salesforce, or Zapier, businesses can automate influencer tracking, customer engagement analysis, and campaign optimization. Scrape Instagram hashtags to identify trending topics and enhance targeted marketing efforts.
The extracted data can be fed into AI-driven sentiment analysis models to analyze audience reactions and predict content performance. Brands use these insights to create viral reels and maximize engagement.
Store extracted data from Instagram Reels Scraper in Google Drive, AWS, or MySQL for large-scale analysis and long-term insights. Businesses can access historical Instagram Reels data to measure trends over time.
Developers can integrate the scraper into custom applications using APIs to scrape Instagram hashtags, monitor competitors, and automate social media reporting.
With seamless integrations, the Instagram Reel Scraper becomes a powerful tool for social media growth, influencer marketing, and business intelligence.
The Instagram Reel Scraper powered by Real Data API enables businesses, marketers, and analysts to scrape data from Instagram Reels efficiently. This advanced scraping solution provides structured, real-time data to enhance social media analytics, influencer tracking, and content performance measurement.
By leveraging the Instagram Reel Scraper, businesses can gain valuable insights, improve content performance, and stay ahead in the competitive social media landscape.
You should have a Real Data API account to execute the program examples.
Replace
in the program using the token of your actor. Read
about the live APIs with Real Data API docs for more explanation.
import { RealdataAPIClient } from 'RealDataAPI-client';
// Initialize the RealdataAPIClient with API token
const client = new RealdataAPIClient({
token: '' ,
});
// Prepare actor input
const input = {
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
};
(async () => {
// Run the actor and wait for it to finish
const run = await client.actor("junglee/amazon-crawler").call(input);
// Fetch and print actor results from the run's dataset (if any)
console.log('Results from dataset');
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
})();
from realdataapi_client import RealdataAPIClient
# Initialize the RealdataAPIClient with your API token
client = RealdataAPIClient("" )
# Prepare the actor input
run_input = {
"categoryOrProductUrls": [{ "url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5" }],
"maxItems": 100,
"proxyConfiguration": { "useRealDataAPIProxy": True },
}
# Run the actor and wait for it to finish
run = client.actor("junglee/amazon-crawler").call(run_input=run_input)
# Fetch and print actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# Set API token
API_TOKEN=<YOUR_API_TOKEN>
# Prepare actor input
cat > input.json <<'EOF'
{
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
}
EOF
# Run the actor
curl "https://api.realdataapi.com/v2/acts/junglee~amazon-crawler/runs?token=$API_TOKEN" \
-X POST \
-d @input.json \
-H 'Content-Type: application/json'
productUrls
Required Array
Put one or more URLs of products from Amazon you wish to extract.
Max reviews
Optional Integer
Put the maximum count of reviews to scrape. If you want to scrape all reviews, keep them blank.
linkSelector
Optional String
A CSS selector saying which links on the page (< a> elements with href attribute) shall be followed and added to the request queue. To filter the links added to the queue, use the Pseudo-URLs and/or Glob patterns setting. If Link selector is empty, the page links are ignored. For details, see Link selector in README.
includeGdprSensitive
Optional Array
Personal information like name, ID, or profile pic that GDPR of European countries and other worldwide regulations protect. You must not extract personal information without legal reason.
sort
Optional String
Choose the criteria to scrape reviews. Here, use the default HELPFUL of Amazon.
RECENT
,HELPFUL
proxyConfiguration
Required Object
You can fix proxy groups from certain countries. Amazon displays products to deliver to your location based on your proxy. No need to worry if you find globally shipped products sufficient.
extendedOutputFunction
Optional String
Enter the function that receives the JQuery handle as the argument and reflects the customized scraped data. You'll get this merged data as a default result.
{
"categoryOrProductUrls": [
{
"url": "https://www.amazon.com/s?i=specialty-aps&bbn=16225009011&rh=n%3A%2116225009011%2Cn%3A2811119011&ref=nav_em__nav_desktop_sa_intl_cell_phones_and_accessories_0_2_5_5"
}
],
"maxItems": 100,
"detailedInformation": false,
"useCaptchaSolver": false,
"proxyConfiguration": {
"useRealDataAPIProxy": true
}
}