#SerpApiUpdate

Web scraping Apple App Store Product Info And Reviews with Nodejs.

A step-by-step tutorial Mikhail’s Zub on creating an Apple App StoreProduct Info And Reviews web scraper in Nodejs.

To get to the bottom of this question, we'll go through these steps:
☑️Full Code
☑️Why use Apple Product Page Scraper and Apple App Store Reviews Scraper APIs from SerpApi?
☑️Preparation
☑️Code Explanation
☑️Output
☑️Links

https://serpapi.com/blog/web-scraping-apple-app-store-product-info-and-reviews-with-nodejs/

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Open Source AI Image Classifier with Automatic Dataset Creator.

Serapis AI Image Classifier is a program that allows you to automatically create image datasets using SerpApi's Google Images Scraper API,
finetune a ResNet50 model,
and classify images using the trained model - says Emirhan Akdeniz in his new study of the Artificial Intelligence section of our Blog.

«Serapis AI Image Classifier is a program that allows you to automatically create image datasets using SerpApi's Google Images Scraper API, finetune a ResNet50 model, and classify images using the trained model.»

Let's move on to the practical steps:
⏺️Installation
⏺️Usage
⏺️Create a dataset and train a new model from scratch
⏺️Use old scraped images and train new model
⏺️Use a previously trained model
⏺️Dialogue Mode
⏺️The Output

https://serpapi.com/blog/open-source-ai-image-classifier-with-automatic-dataset-creator/

This repository helps in your tasks, or helps you grasp the possibilities you have when you have SERP data at your disposal.

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Making YouTube Mentions Tracker in Python.

Find target keywords in YouTube videos by transcribing them, generating timestamp URL,
and saving results to CSV. Streamlit,SerpApi, PyTube, Whisper.

This blog post is created by Dmitriy Zub to show you how SerpApi was integrated into this small app with an explanation of how the app functionates and SerpApi's role in it.
We'll go from top to bottom of the code shown below.
What about the demo itself, this demo project was inspired by a tool called Mention.
This project does kind of the same thing but for YouTube videos only.
It transcribes videos (even if the video is without captions)
and finds the target keyword and returns a URL with the timestamp.
The app doesn't scan/detect new videos all the time via cron job or something similar.

Next, at the link you will see:

☑️App Demo
⏺️Virtual Environment and Libraries Installation
☑️Full Code
⏺️Code Explanation
☑️Links

https://serpapi.com/blog/making-youtube-mentions-tracker-in-python/

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Web scraping The Home Depot Search with Nodejs.

A step-by-step tutorial Mikhail’s Zub on creating The Home Depot Search web scraper in Nodejs.

⏺️What will be scraped
⏺️Full Code
⏺️Why use The Home Depot API from SerpApi?
⏺️Preparation
⏺️Code explanation
⏺️Output
⏺️Links

https://serpapi.com/blog/web-scraping-the-home-depot-search-with-nodejs/

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How to create Ruby C extension and debug in VS Code.

When developing Nokolexbor, Yicheng Zhou found debugging with gdb or lldb was troublesome because I have to do everything with commands. For me, it will be more delightful to debug with an interactive GUI, which makes it convenient to control breakpoints and steps, inspect values and navigate through the code.

This post shows how to use VS Code debugging tools to debug Ruby C extension from scratch.

We'll go this way:
▶️Create the gem project
▶️Debug in VS Code
▶️Attach to a running process

https://serpapi.com/blog/how-to-debug-ruby-c-extension-in-vs-code/

Happy debugging!

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Web scraping The Home Depot Product Info with Nodejs.

A step-by-step tutorial Mikhail’s Zub on creating The Home Depot Product Info web scraper in Nodejs.

☑️Full Code
☑️Why use The Home Depot Product API from SerpApi?
☑️Preparation
☑️Code Explanation
☑️Output
☑️How to extract products results and then extract product data
☑️Links

https://serpapi.com/blog/web-scraping-the-home-depot-product-info-with-nodejs/

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Using Walmart Product API from SerpApi.

This blog post is a step-by-step guide Artur’s Chukhrai to scraping Walmart product results with SerpApi using Python.

In this blog post, we'll go through the process of extracting product data from Walmart using Walmart Product API and the Python programming language.
In order to successfully extract Walmart Product results, you will need to pass the product_id parameter, this parameter is responsible for a specific product.
You can extract this parameter from search results.
Have a look at the Using Walmart Search Engine Results API from SerpApi blog post, in which I described in detail how to extract all the needed data.
You can look at the complete code in the online IDE (Replit).

Video that shows how to do that:
https://youtu.be/1xTbNwq1OSY

The complete guide can be found at this link:
https://serpapi.com/blog/using-walmart-product-api-from-serpapi/

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How to detect memory leak in Ruby C extension.

«Memory leak has been one of the most difficult problems to track down in the C/C++ world. It's also true when it comes to Ruby C extensions.
We don't expect memory bloat for a long-running Ruby service. Fortunately, the community has developed great tools to help detect memory leaks.
Two of the most popular ones are AddressSanitizer (or ASAN) and Valgrind.
Here is a comparison between these tools.
I personally favor ASAN more as it does not require additional tools to be installed and runs fast»- says the author of the project Yicheng Zhou.

It's better to run memory detection in a Linux environment. The tests of this post were run in Ubuntu 20.04 + GCC 9.4.0

Next, we will go this way:
▶️configuration
▶️detection

https://serpapi.com/blog/how-to-detect-memory-leak-in-ruby-c-extension/

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Analyzing the Distribution of Problems in Competition Reviews Emirhan’s Akdeniz.

In the highly competitive world of mobile app development,
it is essential to stay ahead of the curve in terms of optimization and marketing strategies using best app store optimization tools.
One key area of focus is understanding the common problems and complaints of competitors' app reviews,
in order to improve upon and address those issues in your own app.
With the use of ASO tools like SerpApi's Apple App Store Search Scraper API and Apple App Store Reviews Scraper API, as well as Natural Language Processing models such as facebook/bart-large-mnli and bert-large-uncased-whole-word-masking-finetuned-squad, we can analyze the distribution of problems in competition's reviews and gain valuable insights for our own app optimization which could potentially increase download an install rate,
the conversion rate from your competition,
give key ideas on your app marketing,
boost your app visibility, and many more KPI objectives you can achieve with app analytics. You can find the full code at the end of this page.

⏺️Collecting Product IDs from the Apple App Store Search Scraper API
⏺️Collecting Reviews from the Apple App Store Reviews Scraper API
⏺️Collecting All Reviews for a Search Term
⏺️Classifying Reviews as Positive or Negative
⏺️Sammarizing Absolutely Negative Reviews
⏺️Classifying Summaries and Returning Distribution of Problems
⏺️Showing Results
⏺️How is App Store Optimization done?
⏺️Conclusion
⏺️Full Code

https://serpapi.com/blog/analyzing-the-distribution-of-problems-in-competitions-reviews/

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Announcing our new library for JavaScript and TypeScript.

TypeScript types, streamlined API functions, first-class Promises support, straightforward pagination and more. Available on npm and deno.land.

We’re excited to release our new and improved library for JavaScript and TypeScript, serpapi!
SerpApi has grown to be so much more than just supporting Google Search.
We support a wide range of search engines including Bing, Baidu, Yandex, Yahoo, Home Depot, eBay and many more. We’ve built this new library to not only reflect our continual commitment to creating the API for search engines,
but to further improve your experience with SerpApi.

⏺️Highlights
⏺️How to use it
⏺️How is this different from google-search- results- nodejs?

https://serpapi.com/blog/announcing-our-new-library-for-javanoscript-and-typenoscript/

Still curious?
Check out the GitHub repository to take a deeper dive.
• Want to see more examples? Check out the examples folder or our recent blog posts such as Web scraping The Home Depot Product Info with Nodejs and Web scraping Apple App Store Product Info And Reviews with Nodejs.
• Want to see what functions can be used? Check out the functions section to get up to speed on what’s possible.
• Want to get multiple page results easily? Check out the pagination section to find out how to use the .next() method.
• Want to set up your API key once? Check out the configuration section to find out how to declare a global API key.
• Saw something amiss and want to contribute? Raise an issue and check out the contributing guidelines to get started.

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How to Scrape Walmart Search Results with SerpApi.

This blog post is a step-by-step guide Artur’s Chukhrai to scraping Walmart search results with SerpApi using Python.

In this blog post, we'll go through the process of extracting filters, featured items, related queries and organic results plus pagination using the Walmart Search 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?
⏺️Full Code
⏺️Preparation
⏺️Code Explanation
⏺️Output
⏺️Links

https://serpapi.com/blog/using-walmart-search-api-from-serpapi/

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LLMs vs SerpApi: A Comparative Analysis of the Webscraping Capabilities.

In this writing, Emirhan Akdeniz to compare current Open Source and Paid Large Language Models,
ChatGPT and SerpApi for a technical task that requires a precise and fast solution.

We will make a comparison by extracting different parts of the visible text from Google Local Results.

⏺️What we will test

☑️Open Source LLM Models
GPT -2
GPT -2 Large
GPT -2 XL
GPT -J 6B
BLOOM

☑️Paid Models
GPT -3 Text-Ada-001
GPT -3 Text-Babbage-001
GPT -3 Curie
ChatGPT
GPT -3 Text-Da-Vinci- 003

☑️SerpApi Google Local Results Parser

☑️Final Thoughts

https://serpapi.com/blog/llms-vs-serpapi/

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Web scraping Walmart Search with Nodejs.

A step-by-step tutorial Mikhail’s Zub on creating a Walmart Search web scraper in Nodejs.

▶️What will be scraped
▶️Full Code
▶️Why use Walmart Search Engine Results API from SerpApi?
▶️Preparation
▶️Code explanation
▶️Output
▶️Links

https://serpapi.com/blog/web-scraping-walmart-search-with-nodejs/

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Scrape Google Search in NodeJS.

In this post, Terry Tan focus only on extracting "People also ask" section of Google Search results that could be used to generate possible article ideas.

You can use Google Search results to track website SEO rank, gather information, automation and etc.

Regardless of the task, this post will guide you through the basic of setting up a Google Search scraper using Javanoscript.

We will focus only on "People also ask" section of the result. This same principle applies to other sections.

"People also ask" shows top question people are asking, it can be a good sources for article idea.

⏺️Using Axios + Cheerio
⏺️Using SerpApi

https://serpapi.com/blog/scrape-google-search-in-nodejs/#2-using-serpapi

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SerpApi Changelog: December, 2022.

A summary of latest product improvements, feature releases, and community projects made in December, 2022.

Artur Chukhrai will present:
⏺️Summary of December Updatest
⏺️API Updatest
⏺️New Projects Made with SerpApi

https://serpapi.com/blog/serpapi-changelog-december-2022/

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Free Plan · 100 searches / month

#SerpApiUpdate

Announcing our new library for JavaScript and TypeScript.

TypeScript types, streamlined API functions, first-class Promises support, straightforward pagination and more. Available on npm and deno.land.

We’re excited to release our new and improved library for JavaScript and TypeScript, serpapi!
SerpApi has grown to be so much more than just supporting Google Search.
We support a wide range of search engines including Bing, Baidu, Yandex, Yahoo, Home Depot, eBay and many more. We’ve built this new library to not only reflect our continual commitment to creating the API for search engines,
but to further improve your experience with SerpApi.

⏺️Highlights
⏺️How to use it
⏺️How is this different from google-search- results- nodejs?

https://serpapi.com/blog/announcing-our-new-library-for-javanoscript-and-typenoscript/

Still curious?
Check out the GitHub repository to take a deeper dive.
• Want to see more examples?
Check out the examples folder or our recent blog posts such as Web scraping The Home Depot Product Info with Nodejs and Web scraping Apple App Store Product Info And Reviews with Nodejs.
• Want to see what functions can be used?
Check out the functions section to get up to speed on what’s possible.
• Want to get multiple page results easily?
Check out the pagination section to find out how to use the .next() method.
• Want to set up your API key once?
Check out the configuration section to find out how to declare a global API key.
• Saw something amiss and want to contribute?
Raise an issue and check out the contributing guidelines to get started.

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☑️A reminder
Free Plan · 100 searches / month

#SerpApiUpdate

Scrape Google Lens with Python.

This blog post is a step-by-step tutorial Artur’s Chukhrai to scraping Google Lens using Python.

▶️Using Google Lens API from SerpApi
⏺️Why using API?
⏺️Preparation
⏺️Code Explanation
⏺️Output
▶️DYI solution
⏺️Preparation
⏺️Code Explanation
⏺️Output
▶️Links

https://serpapi.com/blog/scrape-google-lens/

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Scraping Apple App Store Search with Python.

This blog post is a step-by-step tutorial Artur’s Chukhrai for scraping Apple App Store Search results using Python and SerpApi.

☑️Why using API?
☑️Full Code
☑️Preparation
☑️Code Explanation
☑️Output
☑️Links

https://serpapi.com/blog/scraping-apple-app-store-search-with-python/


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