InstagramTagClawler

Get Instagram posts by Tag with no authentication or login required.

A non API way (no authentication required) to get Instagram posts by Tag in dict, json or pandas DataFrame. Crawler and example included.

Get the code

git clone https://github.com/karakatic/InstagramTagCrawler.git

Commandline use

python instagramtagcrawler.py tag pages_to_crawl repeat_every_n_seconds

pages_to_crawl (default=1) Indicates how many pages should be crawled. There are approximately 30 posts per page.

repeat_every_n_seconds (default=-1) If you want to repeat crawling (for newer posts) every X seconds, use repeat_every_n_seconds argument.

• -1 crawls only one time
• any other integer repeat crawls indefinitely every this amount of seconds

In every repeated crawl, the crawler will crawl pages_to_crawl pages. The posts will not repeat in the resulting file.

Example use:

Crawl for all posts with tag #paris for three most recent pages, and do not repeat this process.

python instagramtagcrawler.py paris 3

The information about tags will be saved in CSV format in the {tag}.csv file.

Python library use

1. Import the library

from instagramtagcrlawler import Post, InstagramTagCrawler

2. Initialize the tag crawler

crawler = InstagramTagCrawler(tag='paris')

3. Get the list of all posts

posts = crawler.get_posts()

We can specify number of pages that crawler crawls (default=1)

posts = crawler.get_posts(pages=3)

4. Use the list of posts

for post in posts:
    caption = post.caption
    print(post)

    dict_post = post.to_dict() # Get the dictionary of this post
    tags_in_post = post.get_tags() # Get the list of all tags in this post

Or get the pandas DataFrame of all crawled posts

from instagramtagcrlawler import InstagramTagCrawler

crawler = InstagramTagCrawler(tag='pandas')
posts = crawler.get_posts()

df = crawler.to_pandas(posts)