Scrape Google Shopping Seller Data – Google Shopping Seller Data Collection Services

Google Shopping seller data refers to the information associated with sellers offering products on the Google Shopping platform. Comprising the bulk of invaluable data, it details individual sellers or businesses, product listings, ratings, reviews, and performance metrics. The best option is to scrape Google Shopping Seller data using iWeb Data Scraping to obtain these data. We offer the best Google Shopping Seller data collection services across the USA, UK, UAE, Canada, India, Australia, Germany, France, and Spain. Scraping sellers' data using Google Shopping Seller data extraction services helps you analyze competitors' presence, performance, and different strategies. It will help you understand the competitive areas and make informed decisions to enhance your seller performance.

Scrape-Google-Shopping-Seller-Data.png
FEATURED IN
About-Google-Shopping-Seller-Data.png

About Google Shopping Seller Data

Google Shopping seller data provides insights into product categories, competition among similar products, and recent trends. These details ease your duty to select the ideal product to list on the platform and earn more.

Scrape Google Shopping Seller Data

You can extract seller data from this platform to decide the best product to sell using Google shopping. We offer the best web data extraction services to help you grow your eCommerce business.

Scrape-Google-Shopping-Category-Wise-Product-Listing-Data.png

Data Fields

At iWeb Data Scraping, We Scrape the following data fields from the Google shopping website to get Seller data.
  • Seller Name
  • Merchant Id
  • Seller Address
  • Phone
  • Email
  • Products
  • Reviews
  • Star Ratings
  • Bestseller Rank

Use Cases

Scrape-Google-shopping-Product-Data.png

Scrape Google shopping Product Data

Extract product data for a wide range of products from Google shopping timely, with accurate delivery. We offer product data with all mandatory fields, including seller details.

Monitor-Bestseller's-Rank-on-Google-shopping.png

Monitor Bestseller's Rank on Google shopping

Using data scraping from Google shopping for seller data, you can check which product outperforms on the platform. You can also go with the trend using this step.

Monitor-Product-Reviews.png

Monitor Product reviews and ratings on Google shopping

Hire us and reduce your load to track product reviews and ratings on Google shopping manually. It will help you improve your product as per the customer feedback on existing products.

Get-More-Revenue.png

Get More Revenue

Having seller's data with you will give you an edge over your competitors to beat them using unique marketing techniques. It will result in generating more revenue for you.

Features

Optimized

We use rotated proxy IP addresses to avoid getting blocked.

Scalable

Our scraping solution can capture massive data.

Dynamic

Upto date to cope with changes in the market whenever needed

Comprehensive

Secured algorithms and set up to avoid data loss

Fast

5x faster than conventional data scrapers

Translation Capabilities

Our data scrapers can capture data from any language and give output in an asked language like English.

Process

Interaction

We have developed a long-term connection between our business team and potential customers.

Consultation

Our business team consulted potential customers by exchanging expert advice and required information.

Evaluation

Our team analyzes and identifies the business needs of potential customers.

Execution

Once potential customers confirm the demand with our team, we start executing the process after getting the basic needs for the project.

Disposition

After compiling the data, our team smoothly hands it over to the customer.

Exceed Expectation

We Build long-term bonding with our clients by serving them and exceeding their expectations.

Why Choose iWeb Data Scraping?

Unlimited Data Serving

Our company has no threshold for serving a particular number of requests or extracting specific data fields.

Fully Tailored

We extract the data as per the client's requirement at all stages.

No More Blockages

We use proxy IP addresses and random delays between two requests with the capability to solve the captcha in real-time.

Master in Domain

We are proud to serve more than 300+ clients within two years with our expert team.

Assured Quality

We are fully devoted to working on Quality and consistency to deliver the best.

Frequently Asked Questions

Web scraping is possible in multiple languages like PHP, .Net, HTML, Java, CSS, and Python. We generally use python as a core language, but we also use other languages as per customer demand.

We don't deal with adult sites, financial sites which include personal data of the audience like credit card and bank details, and platforms having high levels of sensitive data for security reasons.

Yes, definitely. You can hire us as your dedicated web data scraper team if your requirements are in bulk with regular scraping frequency. That team will handle complete end-to-end operations involved in data extraction, like code development, monitoring, quality assurance, maintenance, data delivery, and many more.

If you can provide us with the account registered on the targeted website to extract the data shown behind your login, we can scrape the data as usual. However, there are restrictions.

It is not required; we do the data extraction entirely on our cloud servers. You must provide us with the websites and data fields you want to scrape.

Yes, our scrapers are scalable enough to handle large quantities of data with decided frequency.

We usually submit the data in usable formats like CSV, Excel, XML, and JSON files.

We use rotational proxy IP addresses so that IP addresses don't send scrape requests again.

Yes, we respect maintaining privacy and security with our clients. So we do sign a Non-Disclosure Agreement.

Yes, we have a dedicated team to support our customers with technical issues when they operate on their end.

Let’s Talk About Product

Schedule A Free Consultation