In this blog post, I'm going to give a quick tutorial on how you can scrape every post on an Instagram profile page using instascrape with less than 10 lines of Python!
Specifically, I am going to be scraping every post from Joe Biden's Instagram account (@joebiden)
chris-greening / instascrape
Powerful and flexible Instagram scraping library for Python, providing easy-to-use and expressive tools for accessing data programmatically
instascrape: powerful Instagram data scraping toolkit
Note: This module is no longer actively maintained.
DISCLAIMER:
Instagram has gotten increasingly strict with scraping and using this library can result in getting flagged for botting AND POSSIBLE DISABLING OF YOUR INSTAGRAM ACCOUNT. This is a research project and I am not responsible for how you use it. Independently, the library is designed to be responsible and respectful and it is up to you to decide what you do with it. I don't claim any responsibility if your Instagram account is affected by how you use this library.
What is it?
instascrape is a lightweight Python package that provides an expressive and flexible API for scraping Instagram data. It is geared towards being a high-level building block on the data scientist's toolchain and can be seamlessly integrated and extended with industry standard tools for web scraping, data science, and analysis.
Key features
…Prerequisites for those of you following along at home
- an Instagram account
- selenium
- instascrape>=2.0.0
Importing from our libraries
Let's start by importing the tools we'll be using.
from selenium.webdriver import Chrome
from instascrape import Profile, scrape_posts
Preparing the profile for scraping
As I've mentioned in previous blog posts, Instagram serves most content asynchronously using JavaScript allowing for the seamless infinite scroll effect and decreased load times.
To render JavaScript, this is where our webdriver comes in handy. For this tutorial, I will be using chromedriver to automate Google Chrome as my browser but feel free to use whatever webdriver you are comfortable with!
webdriver = Chrome("path/to/chromedriver.exe")
Now a quick aside before we start with this next part; you are going to have to find your Instagram sessionid *gasp* Don't worry! Here is a super short guide. Be sure to paste it below in the headers
dictionary where indicated.
headers = {
"user-agent": "Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Mobile Safari/537.36 Edg/87.0.664.57",
"cookie": "sessionid=PASTE_YOUR_SESSIONID_HERE;"
}
joe = Profile("joebiden")
joe.scrape(headers=headers)
Dynamically loading all posts
And now for the part you've all been waiting for! Using the Profile.get_posts
instance method, there are a variety of arguments we can pass for painlessly loading all the posts on a page.
In this case, we are going to have to manually login to our Instagram account when the browser opens so we pass login_first=True
. This will give us 60 seconds to enter our username and password (this wait time can be modified to whatever you want)
posts = joe.get_posts(webdriver=webdriver, login_first=True)
Now, to prove to you that it worked, here is a GIF of me scrolling through the scraped URLs of all 1,261 posts 😏
Scraping the data from each post
Now there is only one thing left to do, and that is scrape every individual post. The scrape_posts
function takes a variety of arguments that let you configure your scrape however you want!
The most important argument in this case is posts
which is a list
of unscraped instascrape.Post
objects.
In this case, I'm going to set a pause of 10 seconds between each scrape so that Instagram doesn't temporarily IP block us.
scraped_posts, unscraped_posts = scrape_posts(posts, headers=headers, pause=10, silent=False)
In the event that there is a problem, we are able to configure scrape_posts
such that all posts that were not scraped are returned so we don't lose all of the work we did, hence the unscraped
.
In conclusion
And there we have it! In less than 10 lines of Python, we were able to scrape almost 50,000 data points from @joebiden's Instagram account!
We can now analyze his engagement, how many hashtags he uses, who he tags in photos, etc. In my next blog post, I'll be showing some ways we can analyze this data and glean useful insights!
In the meantime, here is a related article where I analyze 10,000 data points scraped from Donald Trump's Instagram account.
Visualizing Donald Trump's Instagram data with Python
Chris Greening ・ Dec 23 '20
Click here for the full code, dataset, and file containing all the URLs used in this tutorial.
If you have any questions, feel free to drop them in the comments below, message me, or contact me at my website!
Top comments (26)
Thanks so much for these tutorials and sharing your work! Question: I ran this exact code for my own instagram data and it has been executing for ~30 minutes now. I have 552 instagram posts. I'm hesitant to kill it but I am unsure if it is stuck. Any ideas?
Unfortunately it's an incredibly slow approach, Instagram starts blocking if you scrape too much too fast so I try to play the long game and let it run in the background.
In the
scrape_posts
function, you'll seepause=10
which refers to a 10s pause between each post scrape. Considering you have 552 posts, that'll be (552*10)/60 = 92 minutes 😬In the future, passing
silent=False
as an argument will print what number the scrape is currently on, I'm actually gonna edit that in right now for anyone else reading the article in the future!Thanks for reaching out!
If it's any consolation though, that means it's working! You're just gonna have to wait an extra hour or so before you can get your data 😬
haha thank you! So it did eventually finish without error but then I appeared to have a list of "Post" objects of which I could not tell how I was to get the data from. From reading the GitHub documentation I tried various methods but to no avail (this isn't a knock on you more a knock on my learning curve).
So now after a few hours of messing around I tried to run the "joe biden code" for my own account and even though I am setting login_first=False in the get_posts function, the chrome driver brings me to a login page. Im able to log into instagram but meanwhile my code says it has finished running without error but my posts and scraped_posts objects are now just empty lists.
oh I guess I should also mention that my end goal is to collect data similar to the data you analyzed in your donald trump post. I saw you published a notebook of the analysis code (thank you!) but didn't see a line-by-line on how you got that data.
scraped
Post
objects contain the scraped data as instance attributes! Try using theto_dict
method on one of thePost
's and it should return a dictionary with the data it scraped for thatPost
. The key/values of the returneddict
will correspond one-to-one with the available instance attributesI'll take a look at the
login_first
bug rn and see if I can replicate it, it might be on the library's end! Instagram has been making a lot of changes the last month or so and have been making it increasingly harder to scrapeahhh okay, so when you set
login_first=False
, Instagram is still redirecting to the login page automatically butinstascrape
is trying to start scrolling immediately which results in an empty list since there are no posts rendered on the pageto access dynamically rendered content like posts you're pretty much always gonna have to be logged in so it's best to leave
login_first
asTrue
unless you're chaining scrapes and your webdriver is already logged in manuallyamazing thank you! So I was able to get my first 10 posts no problem by specifying amount=10 but then I tried to do all ~500 pictures and after 232 pictures I came across this error:
ConnectionError: ('Connection aborted.', OSError("(54, 'ECONNRESET')"))
Im guessing this means instagram blocked my request? Have you come across this issue?
Hi Chris,
Thank you for your sharing. I tried to use your code but I am getting this error.
ImportError: cannot import name 'QUOTE_NONNUMERIC' from partially initialized module 'csv' (most likely due to a circular import) (/home/idil/Masaüstü/csv.py)
Do you know what this is about?
Firstly, thankyou for making such an awesome library/module. What if I want to scrape first 12 posts or the first page (containing the recent posts) of a public profile, like how to apply that? And if I want these recent posts to be returned in the form of .JSON, how to do that? Here's the sample of an object I want to be returned from .JSON array:
Thank you so much for these tutorial and for publishing your work 🙏🙏
when i'm trying to save both scraped_posts and unscraped_posts, it says function has no 'to_csv' member. I do see the urls and the upload date but i can't see whether or not if the individual posts are being scraped or not.
Maybe i'm doing it wrong, i've looked through your other blog posts and documentation i couldn't find any examples of how to save the scraped data or use the to_csv/to_json line ( yes i am a beginner in programming, apologies if this question sounds stupid)
This is Cool Man
Hey thanks so much, I appreciate it! 😄
InvalidArgumentException: invalid argument: 'url' must be a string
Do you know why I might be getting this error?
Code is as follows:
import pandas as pd
from selenium.webdriver import Chrome
from instascrape import Profile, scrape_posts
from webdriver_manager.chrome import ChromeDriverManager
defining path for Google Chrome webdriver;
driver = webdriver.Chrome(ChromeDriverManager().install())
Scraping Joe Biden's profile
SESSIONID = 'session id' #Actual session id excluded on purpose
headers = {"user-agent": "Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Mobile Safari/537.36 Edg/87.0.664.57",
"cookie": f"sessionid={SESSIONID};"}
prof = Profile('instagram.com/username/') #username exlcuded as well
prof.scrape()
Scraping the posts
posts = prof.get_posts(webdriver=driver, login_first=True)
scraped, unscraped = scrape_posts(posts, silent=False, headers=headers, pause=10)
posts_data = [post.to_dict() for post in posts]
posts_df = pd.DataFrame(posts_data)
print(posts_df[['upload_date', 'comments', 'likes']])
The issue seems to be stemming from my 'get_posts' call
Hi Chris,
I tried running the above code, but i keep on getting below error. I have put my valid session id.
"Instagram is redirecting you to the login page instead of the page you are trying to scrape. This could be occuring because you made too many requests too quickly or are not logged into Instagram on your machine. Try passing a valid session ID to the scrape method as a cookie to bypass the login requirement"
Hi Chris,
joebiden.py:8: DeprecationWarning: executable_path has been deprecated, please pass in a Service object
webdriver = Chrome("/home/pramod/Downloads/chromedriver/chromedriver")
Traceback (most recent call last):
File "joebiden.py", line 19, in
scraped, unscraped = scrape_posts(posts, silent=False, headers=headers, pause=10)
File "/home/pramod/.local/lib/python3.8/site-packages/instascrape/scrapers/scrape_tools.py", line 179, in scrape_posts
post.scrape(session=session, webdriver=webdriver, headers=headers)
File "/home/pramod/.local/lib/python3.8/site-packages/instascrape/scrapers/post.py", line 88, in scrape
return_instance.upload_date = datetime.datetime.fromtimestamp(return_instance.timestamp)
I am facing an error . Please help me out .
thanks
Always crisp and clear... thanks for sharing ...
Thanks for your hard work. I'm really lucky because I found out about this project just as I wanted to scrape my business IG profile. Keep up with the good work!
This is exactly why I released it, thanks so much for the feedback 😄 motivates me to keep working on it