<jupyter_start><jupyter_text>Downloading recent photos from a profileIn this example, I'm going to show you how you can quickly download a user's most recently posted photos to your computer using `instascrape`!To start, we're going to instantiate an `instascrape.Profile` object with a given username (for this example, we'll use my profile [@chris_greening](https://www.instagram.com/chris_greening/)) and load the user's data.<jupyter_code>import instascrape
chris = instascrape.Profile('chris_greening')
chris.scrape()<jupyter_output><empty_output><jupyter_text>Now, to get the user's recent posts, we will use the `get_recent_posts` method<jupyter_code>chris_posts = chris.get_recent_posts()<jupyter_output><empty_output><jupyter_text>And now for the main event! We're ready to download the images to our computer now. All we have to do is pass `Post.download` a filepath and it will handle the rest, downloading the image to that filepath. In this case, we will create a filename `fname` that will use every posts upload_date as its name.<jupyter_code>for post in chris_photos: 
    fname = post.upload_date.strftime("%Y-%m-%d %Hh%Mm")
    post.download(f"{fname}.png")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08962655601659751, 'fraction_numerical': 0.0, 'mean_word_length': 6.265060240963855, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 1, 'lorem ipsum': 0, 'www.': 1, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 6, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '123990', 'license': 'MIT', 'n_tokens_mistral': 394, 'n_tokens_neox': 372, 'n_words': 133, 'path': 'tutorial/examples/download_recent_photos/download_recent_photos.ipynb', 'repo_name': 'Yahya-A/instascrape', 'size': '1205'}