How to Extract Bing News Data with SerpApi and Python

Intro

In this blog post, we'll go through the process of extracting Bing News using the Bing News Engine Results API and the Python programming language. You can look at the complete code in the online IDE (Replit).

What will be scraped

Why using API?

There're a couple of reasons that may use API, ours in particular:

• No need to create a parser from scratch and maintain it.
• Bypass blocks from Google: solve CAPTCHA or solve IP blocks.
• Pay for proxies, and CAPTCHA solvers.
• Figure out the legal part of scraping data.

SerpApi handles everything on the backend with fast response times under ~1.5 seconds (~1.0 seconds with Ludicrous speed) per request and without browser automation, which becomes much faster. Response times and status rates are shown under SerpApi Status page.

Full Code

This code retrieves all news with pagination:

from serpapi import BingSearch
import json

params = {
    'api_key': '...',                   # https://serpapi.com/manage-api-key
    'q': 'Coffee',                      # search query
    'engine': 'bing_news',              # search engine
    'cc': 'US',                         # country of the search
    'first': 1,                         # pagination
    'count': 10,                        # number of results per page
    'qft': 'interval="7"'               # news for past 24 hours
}

search = BingSearch(params)             # data extraction on the SerpApi backend
results = search.get_dict()             # JSON -> Python dict

bing_news_results = []

page_count = 0
page_limit = 5

while 'error' not in results and page_count < page_limit:
    bing_news_results.extend(results.get('organic_results', []))

    params['first'] += params['count']
    page_count += 1
    results = search.get_dict()

print(json.dumps(bing_news_results, indent=2, ensure_ascii=False))

Preparation

Install library:

pip install google-search-results

google-search-results is a SerpApi API package.

Code Explanation

Import libraries:

from serpapi import BingSearch
import json

The parameters are defined for generating the URL. If you want to pass other parameters to the URL, you can do so using the params dictionary:

params = {
    'api_key': '...',                   # https://serpapi.com/manage-api-key
    'q': 'Coffee',                      # search query
    'engine': 'bing_news',              # search engine
    'cc': 'US',                         # country of the search
    'first': 1,                         # pagination
    'count': 10,                        # number of results per page
    'qft': 'interval="7"'               # news for past 24 hours
}

📌Note: You can also add other API Parameters.

Then, we create a search object where the data is retrieved from the SerpApi backend. In the results dictionary we get data from JSON:

search = BingSearch(params)         # data extraction on the SerpApi backend
results = search.get_dict()         # JSON -> Python dict

Before extracting data, the bing_news_results list is created where this data will be added later:

bing_news_results = []

The page_limit variable defines the page limit. If you want to extract data from a different number of pages, then simply write the required number into this variable.

page_limit = 5

To get all results, you need to apply pagination. This is achieved by the following check: while there is no error in the results and the current page_count value is less than the specified page_limit value, we extract the data, increase the first parameter by the value of the count parameter to get the results from next page and update the results object with the new page data:

page_count = 0

while 'error' not in results and page_count < page_limit:
    # data extraction from current page will be here

    params['first'] += params['count']
    page_count += 1
    results = search.get_dict()

Extending the bing_news_results list with new data from each page:

bing_news_results.extend(results.get('organic_results', []))
# title = results['organic_results'][0]['title']
# link = results['organic_results'][0]['link']
# snippet = results['organic_results'][0]['snippet']
# source = results['organic_results'][0]['source']
# date = results['organic_results'][0]['date']
# thumbnail= results['organic_results'][0]['thumbnail']

📌Note: In the comments above, I showed how to extract specific fields. You may have noticed the results['organic_results'][0]. This is the index of a organic result, which means that we are extracting data from the first organic result. The results['organic_results'][1] is from the second organic result and so on.

After the all data is retrieved, it is output in JSON format:

print(json.dumps(bing_news_results, indent=2, ensure_ascii=False))

Output

[
  {
    "title": "Coffee drinkers get more steps but also less sleep, study finds",
    "link": "https://www.cbsnews.com/sacramento/news/coffee-drinkers-get-more-steps-but-also-less-sleep-study-finds/",
    "snippet": "Coffee is one of the most consumed beverages worldwide, but the pendulum has swung back and forth about its benefits and ...",
    "source": "CBS News",
    "date": "5h",
    "thumbnail": "https://serpapi.com/searches/6421c51af26ac67a4930a857/images/85e52d2243238795454091b5f6b3f41e7f9969cd089f02e76ad21147c47e4f69.jpeg"
  },
  {
    "title": "Cedarburg School Board candidate accused of sexually harassing young workers at his former coffee shop",
    "link": "https://www.jsonline.com/story/news/education/2023/03/27/cedarburg-school-board-candidate-accused-of-sexual-harassment-coffee-shop/70039331007/",
    "snippet": "Former employees accused Scott Sidney, a Cedarburg School Board candidate, of inappropriate words and actions at his former ...",
    "source": "Milwaukee Journal Sentinel",
    "date": "5h",
    "thumbnail": "https://serpapi.com/searches/6421c51af26ac67a4930a857/images/85e52d2243238795454091b5f6b3f41e8897032186a0a3603444deba3cdd76a7.jpeg"
  },
  {
    "title": "New development near WoodTrust in Grand Rapids; new merch from local coffee shop | Streetwise",
    "link": "https://news.yahoo.com/development-near-woodtrust-grand-rapids-100428122.html",
    "snippet": "If you know of a new business, a development or a place that’s closing, send me a note at cshuda@gannett.com. If you have ...",
    "source": "YAHOO!News",
    "date": "6h",
    "thumbnail": "https://serpapi.com/searches/6421c51af26ac67a4930a857/images/85e52d2243238795454091b5f6b3f41e5f1483416a23fbf49adc15101a042c82.jpeg"
  },
  ... other news
]

📌Note: Head to the playground for a live and interactive demo.

Links

• Code in the online IDE
• Bing News Engine Results API

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