This actor scrapes Instagram Reels from provided URLs and retrieves metadata such as captions, likes, comments, and video URLs. The scraped data is saved in a dataset, making it easy to export the results as JSON, CSV, or HTML.
README.md
FileCreate the README File:
C:\Users\shubh\apify-actor-instaloader
), create a new file named README.md
.Paste the Content:
1# Instagram Reel Downloader 2 3## Overview 4 5The **Instagram Reel Downloader** actor allows users to scrape Instagram reels using their URLs. It extracts useful information like: 6 7- Captions 8- Likes 9- Comments 10- Owner's Username 11- Video URLs 12 13The scraped data is saved to a dataset, which can be exported in formats like JSON, CSV, or Excel. 14 15--- 16 17## Features 18 19- **Scrape Instagram Reels**: Fetch metadata and video URLs from public Instagram reel links. 20- **Exportable Data**: The output can be exported to JSON, CSV, or other formats. 21- **User-Friendly Input/Output**: Accepts URLs in JSON format and saves results to Apify datasets. 22 23--- 24 25## Input 26 27The actor requires a JSON input in the following format: 28 29```json 30{ 31 "reelLinks": [ 32 "https://www.instagram.com/reel/XXXXXXX/", 33 "https://www.instagram.com/reel/YYYYYYY/" 34 ] 35}
reelLinks
: Array of Instagram reel URLs to scrape (must be public).The output is saved in the Apify default dataset and includes the following fields:
Field | Description |
---|---|
caption | Caption text of the reel. |
likes | Number of likes on the reel. |
comments | Number of comments on the reel. |
owner_username | Username of the reel owner. |
video_url | Direct URL to the reel video file. |
Input Data:
1{ 2 "reelLinks": [ 3 "https://www.instagram.com/reel/XXXXX/", 4 "https://www.instagram.com/reel/YYYYY/" 5 ] 6}
Run the Actor:
View and Export Results:
To test the actor locally:
cd path/to/your/actor
apify run --purge
To push updates:
apify push
Feel free to fork the repository, improve the actor, and submit a pull request. Contributions are welcome!
For questions or issues, contact support through the Apify console or open an issue in the repository.
1--- 2 33. **Save the File**: 4 - Save the file as `README.md` in the same directory as your `main.py`. 5 64. **Push to Apify**: 7 - Navigate to the directory in your terminal and run: 8 ```bash 9 apify push 10 ```
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!