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Builds a SQL database of YouTube channels and their subscriber numbers, topic keywords, etc. Seeded from keywords.csv file and uses the official YouTube API (includes rate-limiting).

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YouTube Influencers

Builds a SQL database of YouTube channels and their subscriber numbers, topic keywords, etc. Seeded from keywords.csv file and uses the official YouTube API (includes rate-limiting).

You can test with something small like keywords_test.csv first.

High-Level Instructions

  1. Install packages in requirements.txt to virtual environment.
  2. Register for the YouTube API and update the API key variable accordingly in yt_influencers.py
  3. (Optional) Register for a Twilio free number and update the API key and phone numbers in yt_influencers.py. This will just text you when the scrape fails, so it's not strictly necessary, but nice to have. Comment out the innards of text_me_then_quit() if not using this.
  4. Run the main script. It will create a SQL database to hold the scrape results.

Scrape Methodology Overview

Open up keywords_test.csv to follow along here.

The script will use the YouTube API to send queries that are combinations of keywords based on the entries in this file (actually, in keywords.csv, the _test.csv file is a smaller version for understanding what this script does and for doing a quick test run before kicking off the main scrape).

It will basically query every permutation along a row based on the cells that say TRUE in them. For example, the first row will query appliances reviews and it will only search for channels containing those keywords. Similarly, the third entry would result in a query like best cooktops reviews and would only search for videos with those keywords. Note that whether videos or channels is specified, the script will always extract information about the channel to the database.

You can modify the CSV file however you desire based on what you're searching for. If you'd like to use different modifications than "best" or "reviews" or "unboxing" or "tips," however, you'll need to modify the main Python script. Should be pretty obvious where to make changes.

Database Contents

The database will create two Tables, one for Search and one for Channel

Search contains content like q=best%203d%20printers&type=video and isn't really used other than tells the script what it's already done, so that the job can get interrupted and resume where it was, also avoiding scraping the same data twice.

Channel is the main information you're likely after, and contains information about a channel, such as channel title, description, channel keywords, thumbnail photo urls, country, total video views count, subscriber count, video count, if it's made for kids, and lastly potential contact emails.

Two fields are worth further explaining: channel keywords is both a field that the YouTube API returns, as well as information the script adds as it goes. For example, if a search term appliances resulted in a channel being found, that word would be added to its keywords list. potential contact emails is not something YouTube gives you access to via the API, unfortunately. However, many channel creators leave an email in their channel description (sometimes formatted like bob AT bob.com). The script will look for these and, if found, save them here.

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Builds a SQL database of YouTube channels and their subscriber numbers, topic keywords, etc. Seeded from keywords.csv file and uses the official YouTube API (includes rate-limiting).

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