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Web scraping Google Shopping Product Online Sellers with Nodejs.

A step-by-step tutorial on creating a Google Shopping Product Online Sellers web scraper in Nodejs from Mikhail Zub.

https://serpapi.com/blog/web-scraping-google-shopping-product-online-sellers-with-nodejs/

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Assistant with PyAudio, Speech Recognition, pyttsx3 and SerpApi.

Build a simple CLI voice assistant as an introduction to speech recognition and API usage. A step-by-step tutorial from Dmitriy Zub.

Very relevant information that will help you save time:

https://serpapi.com/blog/build-simple-cli-based-voice-assistent-with-serpapi/

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Web scraping Google Shopping Product Specs with Nodejs.

A step-by-step tutorial Mikhail’s Zub on creating a Google Shopping Product Specs web scraper in Nodejs.

☑️full code
☑️preparation
☑️process
☑️output
☑️using Google Product Specs Results API from SerpApi
☑️output
☑️links

https://serpapi.com/blog/web-scraping-google-shopping-product-specs-with-nodejs/#serp_api_output

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Using Google Product Local Sellers API from SerpApi.

This blog post is a step-by-step tutorial about scraping Google Product Local Sellers using SerpApi from Artur Chukhrai.

Why using API?
• 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.
• Don't need to use browser automation.
SerpApi handles everything on the backend with fast response times under ~2.5 seconds (~1.2 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.

https://serpapi.com/blog/scrape-google-product-local-sellers-with-python/

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Scrape Google Product Online Sellers with Python.

This blog post is a step-by-step tutorial about scraping Google Product Online Sellers using Python from Artur Chukhrai.

https://serpapi.com/blog/scrape-google-product-online-sellers-with-python/

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Web scraping Google Finance Main Page with Nodejs.

A step-by-step tutorial Mikhail Zub on creating a Google Finance Main Page web scraper in Nodejs.

https://serpapi.com/blog/web-scraping-google-finance-main-page-with-nodejs/

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Benchmarking Puma 4 vs. Puma 5 vs. Puma 6 from Yicheng Zhou.

Puma 6.0.0 was released on Oct 19, 2022.
We are two major versions behind.
Let's benchmark Puma 4 vs. Puma 5 vs.
Puma 6 and see how they perform.

We put our focus on testing the throughput of these versions.
The excellent HTTP load generator hey made it easy to stress test Puma and get detailed reports.

The results showed that the developers are doing great in improving Puma's performance. We can see an increasing number of "Requests/sec" on newer versions.
During the tests, we noticed that compared to Puma 6.0.0, on Puma 4.3.6 and Puma 5.6.5, the two workers were sometimes not evenly loaded, which means they didn't make most of the CPU resources.

Migrating to Puma 6 is a no-brainer.
But as 6.0.0 has just been released, it would be better to look at its bug reports first.
For those who are cautious, upgrading to the latest version of Puma 5 with wait_for_less_busy_worker = 0.005 set is recommended.

Read more on our blog:

https://serpapi.com/blog/benchmarking-puma-4-puma-5-puma-6/


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Using Google Maps Local Results API from SerpApi.

This blog post is a step-by-step tutorial about scraping Google Maps Local Results using SerpApi using Python from Artur Chukhrai.

https://serpapi.com/blog/using-google-maps-local-results-from-serpapi/

In this blog post, we'll go through the process of extracting data from Google Maps Locals results using Python. You can look at the complete code in the online IDE (Replit).

If you prefer video format, we have a dedicated video that shows how to do that:

https://youtu.be/HugsLaQR0GA

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Web Scraping Google Shopping Product Nearby Sellers with Nodejs.

A step-by-step tutorial Mikhail’s Zub on creating a Google Shopping Nearby Sellers web scraper in Nodejs.

Look at our illustrations and appreciate how detailed the author describes all the processes.

https://serpapi.com/blog/web-scraping-google-shopping-product-nearby-sellers-with-nodejs/

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Getting Google Maps Business Listing with SerpApi Google Sheets extension.

This tutorial Bartek’s Marmolowski will teach you how to use SerpApi's Google Maps API for Business Listing using the Google Sheets extension SerpApi - Search Engine Results and Ranks.

https://serpapi.com/blog/getting-google-maps-business-listing-with-serpapi-google-sheets-extension/

The above example ⬆️shows you an easy way to integrate your SerpApi Google Maps API for Business Listing in Google Sheets.
You can now adjust your parameters according to your needs without changing your formulas. They will automatically adjust to the information you provide.

Below ⬇️ you can find the full Google Sheets example I used for this blog post,
as well as other useful Google Sheets-related materials:
Google Maps API Business Listing - Google Sheets
Scrape Google search results to Google Sheets - SerpApi
How to scrape Google results into a spreadsheet: SerpApi Google Sheets plugin

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Web scraping Yelp Organic And Ads Results with Nodejs.

A step-by-step tutorial Mikhail’s Zub on creating a Yelp Organic And Ads Results web scraper in Nodejs.

☑️Using Yelp Organic and Ads Results API from SerpApi
-code explanation
-output
☑️DIY code
-preparation
-process
-code explanation
-output
☑️Links

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Using Google Maps Reviews API from SerpApi.

This blog post is a step-by-step tutorial about scraping Google Maps Reviews using SerpApi using Python from Artur Chukhrai.

In this blog post, we'll go through the process of extracting data from Google Maps Place results using Python. You can look at the complete code in the online IDE (Replit).

https://serpapi.com/blog/using-google-maps-reviews-api-from-serpapi/

If you prefer video format, we have a dedicated video that shows how to do that:

https://youtu.be/HQAWQPNjw_k

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Optimizing JSON performance in Rails.

Scraping search results at SerpApi often involves JSON parsing.
SerpApi is also generating large JSON responses, where JSON serialization takes place.

Yicheng Zhou figured out if we can speed up JSON processing.

A quick search of the Ruby ecosystem shows Oj as the best fit for Rails.
It has support for being a drop-in replacement with super easy configuration.
We benchmarked Oj vs. the standard json library that ships with Ruby.
Since json performance may differ across Ruby versions, we ran the same benchmark code under Ruby 2.7.2, Ruby 3.1.2, and Ruby 3.1.2 +YJIT.
We compared four methods that are mainly used: JSON.parse, obj.to_json, JSON.dump, JSON.pretty_generate.
We ran each method for 10K iterations and compared the time taken.

From the link in the blog you can see
☑️the benchmark code,
☑️the tests on DigitalOcean CPU-Optimized, 2 vCPUs, 4 GB,
☑️the identity of the outputs Oj and json

https://serpapi.com/blog/benchmarking-oj-vs-json/

obj.to_json is unexpectedly slow by default. According to the documentation, Oj has optimized the behavior.

We have yet to check if the output will differ on model objects, but we can certainly use it on pure Hash without a problem.

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Using Google Maps Place Results API from SerpApi using Python.

This blog post is a step-by-step tutorial about scraping Google Maps Place Results using SerpApi using Python from Artur Chukhrai.

In this blog post, we'll go through the process of extracting data from Google Maps Place results using Python.
You can look at the complete code in the online IDE (Replit).

☑️why using API
☑️full code
☑️preparation
☑️code explanation
☑️output
☑️links

https://serpapi.com/blog/using-google-maps-place-results-api-from-serpapi/

If you prefer video format, we have a dedicated video that shows how to do that:

https://youtu.be/jqoNHXiGeZA


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Benchmarking Rails 6 vs. Rails 7.

This blog post is a continued work Yicheng Zhou of Benchmarking Ruby 3.1 (+YJIT) vs. Ruby 2.7.

We wanted to check the performance of Rails 6.1 and Rails 7.0 compared to Rails 6.0, which we are currently on.
With the help of hey, we used a similar approach to benchmarking Puma as the last time.

We ran all benchmarks on DigitalOcean CPU-Optimized, 2 vCPUs, 4 GB, Ruby 2.7.2, and Rails, all booted in production mode. As Rails 7 prefers Ruby 3+, we tested Rails 7.0 on Ruby 3.1.2 and Ruby 3.1.2 +YJIT.

https://serpapi.com/blog/benchmarking-rails-6-vs-rails-7/

Conclusion.

Rails 6.0, Rails 6.1, and Rails 7.0 do not have noticeable performance differences.
We didn't test them extensively, but that was enough for our use case.

As a side result, YJIT can be turned on for better performance if the C extension does not take a large part of your code (including the gems used).

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ChatGPT + SerpApi: summarize Google Search Results. By Yohei.

https://twitter.com/yoheinakajima/status/1598775488230883328

Asking feedback from AI about marketing opportunities 🙈