Photo by KOBU Agency on Unsplash

So, what is the easiest way to get all the job posting details from Indeed.com?

Option 1: Subscribe to Specrom’s Indeed Scraper API

We have an Indeed Scraper API that will extract all the pertinent job posting information such as company name, city, snippet, job title etc. by just specifying a search query and a location.

The API is available on RapidAPI and there is a free trial with no credit card information required. Paid plans start at just $10.

Option 2: Full service web scraping service.

If you just need job postings data as a CSV or excel file, than simply contact us for our full service web scraping service. …

So, what is the easiest way to get CSV file of all the Best Buy store locations data in the USA?

Buy the Best Buy store data from our data store

There are over 950 Best Buy stores in USA and you buy the CSV file containing address, city, zip, latitude, longitude of each location in our data store for $50.

Figure 1: Best Buy store locations. Source: Best Buy Store Locations dataset

If you are instead interested in scraping for locations on your own than continue reading rest of the article.

Scraping Best Buy stores locator using Python

We will keep things simple for now and try to web scrape Best Buy store locations for only…

So, what is the easiest way to scrape Google search result pages (SERP) ?

Figure 1: Inspecting the source of HTML source code for Google search result pages (SERP) webpage.

Option 1: Subscribe to Specrom’s Google Scraper API

We have an Google Scraper API that will extract all the relevant information such as SERP position, title, url, snippet by simply specifying a keyword.

The API is available on RapidAPI and there is a free trial with no credit card information required. Paid plans start at just $10.

This option can allow you to fetch results for hundreds of keywords without any complex scraping logic.

Option 2: Full service web scraping service.

If you just need…

So, what is the easiest way to get CSV file of all the Marshalls store locations data in the USA?

Easy Method: Buy the Marshalls store data from our data store

There are over 1000 Marshalls stores in USA and you buy the CSV file containing address, city, zip, latitude, longitude of each location in our data store for $50.

Figure 1: Marshalls store locations. Source: Marshalls Store Locations dataset

If you are instead interested in scraping for locations on your own than continue reading rest of the article.

Method 2: Scraping Marshalls stores locator using Python

We will keep things simple for now and try to web scrape Marshalls store locations for only one zipcode.

Python is great…

Photo by Toa Heftiba on Unsplash

What are product codes? What are its types? Why are product codes used?

A product code describes a specific product and contains a combination of five to seven numbers and letters. These are the codes that are usually on the back of the product. These codes are important mainly due to its unique nature.

Types of Product Codes

UPC: Universal Product Code (UPC) is a 12-digit bar code used extensively for retail packaging in the United States. A typical process of obtaining a 12-digit UPC number is as follows: — License a unique Company Prefix from your local GS1 office. GS1 is a not-for-profit…

So, what is the easiest way to scrape reviews from an app in Google Play store ?

Figure 1: Screenshot of app reviews in Google Play store.

At the end of this article, you will be able to extract these reviews as a CSV file shown in figure 2.

Lot of people ask us about how we can fetch all the store locations of Target like we do in our data store. Note: all the Target store locations are available as CSV file for $50..

Figure 1: Store locations of Target in USA. Source: Target Store Locations dataset

Scraping Target stores for one zipcode

We will keep things simple for now and try to web scrape target store locations for only one zipcode.

Python is great for web scraping and we will be using a library called Selenium to extract Target store locator’s raw html source for zipcode 30301 (Atlanta, GA).

### Using Selenium to…

Figure 1: Screenshot of reviews page in Trustpilot.com.

So, what is the easiest way to scrape reviews from Trustpilot.com?

In this article we will try to scrape user reviews for a low code web scraping software called Octoparse.com.

At the end of this article, you will be able to extract these reviews as a CSV file shown in figure 2.

Natural Language Processing

We will perform sentiments analysis using a News API for predicting Amazon (AMZN) stock price using Python

Sentiments analysis of news has become one of the most robust ways of generating buy/sell signals for stocks in all major developed and major emerging markets. The idea is simple, a cumulative sentiments score of the news articles mentioning a companies name, brand, stock ticker, etc. will serve as a great indicator for the next days’ closing stock price.

This only works with stocks that have high trading volumes and active news coverage across major outlets. Generally speaking, constituent stocks of major market indices such as NASDAQ, Dow Jones, or S&P 500 will all satisfy these criteria.

In this article…

Scrape email address from a particular webpage and query the Specrom’s email database containing over 200 million email addresses

Extracting email addresses from websites is one of the most common ways to find email addresses of prospective clients and it powers the marketing and sales strategies of countless businesses.

If you are familiar with coding then you’ll probably know that we can extract email addresses by using something known as regular expressions (regex). However, they are pretty tricky to write and even harder to debug, and even experienced coders run into numerous issues when trying to write a regex for something as complicated as an email address.

However, if you are a coder and got here just to find…

Jay M. Patel

Cofounder/principal data scientist at Specrom Analytics (specrom.com) natural language processing and web crawling/scraping expert. Personal site: JayMPatel.com

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