Web Scraping YouTube Popular Videos Results Data with Python and SerpApi

scrape-youtube-videos-python-serpapi.py

# video tutorial: https://www.youtube.com/watch?v=PTLpbBiz_sc

from serpapi import GoogleSearch
from urllib.parse import (parse_qsl, urlsplit)
import json

params = {
    "api_key": "your api key",            # your serpapi api key
    "engine": "youtube",                  # serpapi parsing engine
    "search_query": "blender foundation", # search query
    "gl": "US",                           # country of the search
    "hl": "en",                           # language of the search
    #   "sp": "EgJ4AQ%253D%253D"          # youtube filter
}

search = GoogleSearch(params)

video_results = []
videos_amount = []

while True:
    results = search.get_dict()

    if "playlist_results" in results:
        pass # extract only playlist results or whatever you want from the output

    for result in results.get("video_results", []):
        print(result["title"])
        video_results.append({
            "title": result.get("title"),
            "link": result.get("link"),
            "published_date": result.get("published_date"),
            "views": result.get("views"),
            "length": result.get("length"),
            "channel": result.get("channel")
        })

        videos_amount.append(result["title"])

    if "next" in results.get("serpapi_pagination", {}):
        search.params_dict.update(dict(parse_qsl(urlsplit(results.get("serpapi_pagination", {}).get("next")).query)))
    else:
        break

print(len(videos_amount)) 

1. Apply desired YouTube filter on YouTube itself:

2. Copy sp= query parameter value from URL:

CAM%253D = filter by views.

3. Pass this value to SerpApi: