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In Account-Based Marketing (ABM) crawlers are used to scrape firmographic and technographic data. Web scraping helps reaching out to leads by scraping contact details such as email, phone, and social media accounts. In this process, the marketer starts communicating with relevant leads by sending out messages.
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Lead generation efforts can help businesses reach additional customers.
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Web scrapers can help identify whether copyrighted intellectual property is used illegally. Copyright infringement is the use of copyrighted works without permission.Counterfeiting: Counterfeiters need to market their products and scrapers allow businesses to identify those products before actual users and protect users from buying fake products.Once these content are identified, brands can take legal action against those responsible: counterfeit products) which can hurt your brand. Using web scraping brands can swiftly identify online content (e.g. Below is an example of extracted product data from an e-commerce company website. Web scraping can automate the entire process and provide the images and product descriptions faster than humans. Specifically in e-commerce, businesses need to prepare thousands of product images, features, and descriptions that have already been written by different suppliers for the same product. Manufacturers can scrape retailers’ digital properties to ensure that retailers follow their pricing guidelines. Web scraping tools can be used to extract competitors’ pricing data and this is the most common web scraping use case mentioned by most companies in the space like Bright Data.Ī web crawler can be programmed to make requests on various competitor websites’ product pages and then gather the price, shipping information, and availability data from the competitor website.Īnother price intelligence use case is ensuring Minimum Advertised Price (MAP) compliance. Companies can also use these insights in setting dynamic prices. However, competitor pricing need to be known to determine the most optimal prices. Marketing & sales Price intelligence data collectionįor every price elastic product in market, setting optimal prices is one of the most effective ways to improve revenues.
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To learn more about web crawler use cases in data science, feel free to read our in-depth guide to web scraping for machine learning. For example, GPT-3 which impressed the computer science community with its realistic text generation was built on textual content on the web. Web scraping can help data scientists acquire the required training dataset to train ML models. However, collecting a large amount of accurate training data is a big pain. Machine learning algorithms require a large volume of data to improve the accuracy of outputs.
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Data Analytics & Data science Machine learning training data collection In this article, we focus on web scraping use cases and applications from market research for strategy projects to scraping for training machine learning algorithms. Web scraping is important because regardless of industry, the web contains information that can provide actionable insights for businesses to gain an advantage over competitors. We have explained what a web crawler is and why web scraping is crucial for companies that rely on data-driven decision making.