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The script has been massively updated and now includes the ability to scrape Facebook Reactions. Most of the material in this article is still valid, though. One of the first data scrapers I wrote for the purpose of statistical analysis was a Facebook Graph API scraper, in order to determine which words are the most important in a Facebook Page status update.
In order to determine if I can sanely scrape a website, I have to do a bit of research. How much data from a Facebook status update can we actually scrape? Between the two nodes, we have access to idwhich is a unique identifer that can be used to create a link back to the update itself e. Accessing the numerical counts of likescommentsand shares is less explicit in the documentation.
Fortunately, StackOverflow has the answer: Now that we know we can get all the relevant data from the sample status update, we can build a Facebook post scraper.
I have created an IPython notebook hosted on GitHub with detailed code, code comments, and sample output for each step of the scraper development. I strongly recommend giving it a look. First, we need to see how to actually access the API.
Users can get Short-Term tokens, but as their name suggests, they expire quickly, so they are not recommended. Of course, this is a major security risk, so create a separate app for the sole purpose of scraping, and reset your API Secret if it becomes known. We would send a request to https: Now we get the post data. But not much of it. In Graph API v2. This results in a very long URL not shown here which causes the posts feed to have all the data we need:.
Status updates may not have text or links. Since this a possibility, along with other unicode characters, the message and link names must be encoded in UTF-8 to prevent errors. The time format is another issue. However, most spreadsheet programs will not able to parse it as a Date value.
These APIs do not expect cara bot komentar status fb yang to be accessing very, very old data. These server errors are temporary, so a helper function must be used to attempt to retrieve data until it is actually successful. Now we have a full plan for scraping, we query each cara bot komentar status fb yang of Facebook Page Statuses statuses maximum per pageprocess all statuses on that page and writing the output to a CSV file, and navigate to the next page, and repeat until no more statuses left.
This can be done with a for-loop within a while loop. In addition, I also recommend counting the number of posts processed and taking cara bot komentar status fb yang timestamp every-so-often to ensure that the program has not stalled.
You can access the complete scraper in this GitHub repository, along with all other scripts mentioned in this article. Once you have the CSV file, you can import it into nearly cara bot komentar status fb yang statistical program and have fun with it. You can download a. There may be more practical reasons for analyzing data on Facebook Posts, such as quantifying the growth and success of your own page, or that of your competitors.
But the data is easy to get and is very useful. Although, in fairness, the scraper is not perfect and still has room for improvement.
Although in that case, I blame Facebook. You can access all resources used in this blog post at this GitHub repository. He is also an ex-Apple employee and Carnegie Mellon University graduate. In his spare time, Max uses Python to gather data from public APIs and ggplot2 to plot plenty of pretty charts from that data.
On special occasions, he uses Keras for fancy deep learning projects. You can learn more about Max hereview his data analysis portfolio hereor view his coding portfolio here. Feasibility In order to determine if I can sanely scrape a website, I have to do a bit of research. Data Scrappy I have created an IPython notebook hosted on GitHub with detailed code, code cara bot komentar status fb yang, and sample output for each step of the scraper development.
This results in a very long URL not shown here which causes the posts feed to have cara bot komentar status fb yang the data we need: Now we just have to process each post. Which is easier said than done. Putting cara bot komentar status fb yang All Together Now we have a full plan for scraping, we query each page of Facebook Page Statuses statuses maximum per pageprocess all statuses on that page and writing the output to a CSV file, and navigate to the next page, and repeat until no more statuses left.
Visualizing Clusters of Clickbait Headlines R, plotly.
