Use cases

Scraping for Sentiment Analysis 

Sentiment analysis is a process for businesses to indicate the emotion behind consumer reviews, social media posts, or news headlines. To automatically get this data from Google SERP pages, companies use SERPMaster: we deliver accurate search engine data at scale.

Sentiment Analysis Challenges

Gathering data for sentiment analysis can get tricky: there are a few issues and challenges businesses may run into.

Extracting Google Data

Google uses multiple security techniques to block malicious bots from harvesting its data. Correspondingly, good bots get blocked, too, making it difficult to gather data for sentiment analysis. 

Ensuring Data Delivery

Generating valuable insights from reviews or news headlines requires a large amount of recent data. Therefore, a scraper should be able to deliver Google sentiment analysis data consistently and at scale. 

Providing Localized Results

Search results displayed to a visitor may vary depending on their physical location. A reliable SERP scraper accesses sentiment analysis data from anywhere in the world and delivers hyper-localized results.

SERPMaster for Sentiment Analysis

SERPMaster makes scraping for sentiment analysis easy: users submit a request, and we deliver search results based on preferred device, browser, or location.

  • Cheapest data on the market 
  • Hyper-localized results from anywhere in the world
  • 100% success rate in data delivery

Added Benefits of SERPMaster

All SERP Feature Scraping

Get data from all SERP features, including reviews, news boxes, and others. 

Structured Data in JSON

Easily digest and store data for future uses. 

100% Success Rate

Enjoy consistent data delivery and finish projects on time. 

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