https://hackmd.io/@I1QCv15SSzyd_Xx4rB_IQA/BkwGPoz_6?utm_source=preview-mode&utm_medium=rec Unveiling Market Insights: As we embark on a quest to decipher the complexities of the Earplugs Market, our research seeks to provide a thorough overview with a detailed focus on market segmentation based on connection type, end-use, and geography. This analysis shines a light on significant market positions held by key competitors, industry trends, and potential prospects that lie ahead. Earplugs Market Expansion and Prediction: The Earplugs Market size is valued at USD 1.23 Billion in 2022 and is forecasted to grow at a CAGR of 6.4% from 2023 to 2029, reaching nearly USD 1.95 Billion in 2029.

Personal Protective Equipment Market Growth, Segments, Research Report, Fortune Business Insights and Forecast by 2029 The global personal protective equipment (PPE) market is set to gain impetus from the persistent efforts by manufacturers operating in the U.S. to make the environment cleaner, safer, and greener. Several glove producers are trying to reduce the energy consumption by enhancing the existing machines or developing new ones. In April 2020, for instance, Mallcom (India) Limited announced its plan to introduce new shoe covers and PPE overalls in addition to its recyclable and disposable face mask, especially for the medical industry. This information is given by Fortune Business Insights™ in a new report, titled, “Personal Protective Equipment (PPE) Market, 2021-2028.” As per the report, the PPE market size was USD 128,675.1 million in 2020 and is projected to reach USD 231,630.4 million by 2028, exhibiting a CAGR of 7.6% during the forecast period. Segments- Manufacturing Segment to Lead Stoked by High Demand for Safety Shoes & Earmuffs Based on the product, the market is categorized into head protection, hearing protection, eye face protection, protective clothing, protective footwear, respiratory protection, hand protection, fall protection, and others. By the end-use industry, it is fragmented into manufacturing, construction, oil & gas, chemical, food, pharmaceutical, transportation, and others. Amongst them, the manufacturing segment generated the largest personal protective equipment market share in 2020. This is attributable to the increasing demand for earplugs, earmuffs, safety shoes, and gloves from workers and employers as these would protect them from fires, heat burns, and electric shocks. Drivers & Restraints- Rising Cases of Workplace Hazards Worldwide to Augment Growth The rising number of ongoing and planned construction and infrastructure projects, especially in India, China, and the U.S. is anticipated to propel the personal protective equipment market growth in the near future. According to the Occupational Safety and Health Administration (OSHA), in 2019, approximately 5,333 workers died on job. Also, on an average, around 15 deaths took place every day in the same year. Hence, the need to provide construction workers with protective shoes or boots with slip or puncture-resistant soles is set to surge rapidly. At the same time, regulatory bodies of various countries are implementing strict norms to protect workers against falls, electrocution, trench cave-ins, and toxic materials. However, the lack of awareness of workplace hazards may hamper the demand for these equipments. Regional Insights- Increasing Expenditure in Healthcare Sector to Help North America Dominate Geographically, North America earned USD 42,805.7 million in 2020 in terms of revenue and is likely to remain at the forefront. The rising government expenditure in healthcare and medical sectors is expected to drive growth. Besides, the surging awareness of manufacturers and workers about crucial occupational safety measures is set to aid growth. Browse Link: - https://www.fortunebusinessinsights.com/personal-protective-equipment-ppe-market-102015

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How to Extract Alibaba Product Data with Scrapy | Extract Alibaba Product Data Extracting information from E-Commerce sites such as Alibaba, Amazon, eBay, help to provide enormous opportunity for competitors, market research, and price comparison firm. Being among the foremost e-commerce companies, Alibaba products catalog is huge and handy to anyone who is looking to extract data. Extracting Alibaba Product Data can be difficult if you are not having accurate resources and team to perform Alibaba Product Data Extracting. Outsourcing Alibaba extracting helps you to fulfill all your requirements with dedicated scraping services. Installing Python 3 with Pip We utilize Python 3 in this Blog. To begin, you require a PC using Python 3 as well as PIP. Mac: - http://docs.python-guide.org/en/latest/starting/install3/osx/ Linux: - http://docs.python-guide.org/en/latest/starting/install3/linux/ Window: - https://www.retailgators.com/how-to-install-python3-in-windows-10/ PackagesInstall pip3 install scrapyselectorlib Find out more information by installing here - https://doc.scrapy.org/en/latest/intro/ Creating Scrapy Projects Let us create scrapy task using the command given below. scrapystartprojectscrapy_alibaba It can help to create Scrapy task with the help of Name of Project (scrapy_alibaba) as folder name. This contains all required files with accurate structure as well as basics with each file. from selectorlib import Extractor scrapy_alibaba/ # Project root directory scrapy.cfg # Contains the configuration information to deploy the spider scrapy_alibaba/ # Project's python module __init__.py items.py # Describes the definition of each item that we’re scraping middlewares.py # Project middlewares pipelines.py # Project pipelines file settings.py # Project settings file spiders/ # All the spider code goes into this directory __init__.py Creating a Spider The Scrapy has built a command named genspiderso that you can produce the fundamental spider templet. scrapygenspider(spidername)(website) Let’s produce our spider scrapygenspideralibaba_crawleralibaba.com This will help to create a file spider/scrapy_alibaba.py for recent templets for crawling Alibaba.com This code is shown here: importscrapy classAlibabaCrawlerSpider(scrapy.Spider): name = 'alibaba_crawler' allowed_domains = ['alibaba.com'] start_urls = ['http://alibaba.com/'] defparse(self, response): pass Searching Keywords from the file Let us make the CSV file it named keywords.csv. This file shows that if we want to search distinctly for earplugs and headphones. keywords headphones earplugs It’s time to use CSV Python’s standard module for reading the keyword file. defparse(self, response): """Function to read keywords from keywords file""" keywords = csv.DictReader(open(os.path.join(os.path.dirname(__file__),"../resources/keywords.csv"))) for keyword in keywords: search_text = keyword["keyword"] url = "https://www.alibaba.com/trade/search?fsb=y&IndexArea=product_en&CatId=&SearchText={0}&viewtype=G".format(search_text) yieldscrapy.Request(url, callback=self.parse_listing, meta={"search_text":search_text}) A Complete Scrapy Spider’s Code You can see the whole code at - https://contactus/retailgators/alibaba-scraper A spider called alibaba_crawler will look at https://contactus/retailgators/alibaba-scraper/blob/master/scrapy_alibaba/spiders/alibaba_crawler.py https://contactus/retailgators/Let’s run this scraper with scrapy crawl alibaba_crawler DEBUG: Forbidden by robots.txt: It is because Alibaba’s website has discovered to crawl different URLs array /trade. So, you can easily that by visiting robots.txt file, positioned at https://www.alibaba.com/robots.txt Export Products data inCSV & JSON using Scrapy The Scrapy offers in-built JSON & CSV formats for output. scrapy crawl (spidername) -o output_filename.csv -t csv scrapy crawl (spidername) -o output_filename.json -t json CSV output: scrapycrawlalibaba_crawler-oalibaba.csv-tcsv JSON Output: scrapycrawlalibaba_crawler-oalibaba.csv-tjson List of Data Fields list-of-data-fields At RetailGators, we extract data for Alibaba Web Data Scraping Services. Data Fields are given below: Name of Product Product Price Range Images of Product Product Links Minimum Product Order Name of Seller Seller Reply Rate Number of sellers on Alibaba Key Features of Alibaba Web Scraping Solutions RetailGators help you to provide fully customized eCommerce Data Scraping that are accessible to deal with data requirements for big companies. Quality and Stability are one of the most important factors if data crawling is concerned. Many DIY Tools are available for scraping through in-house resources. Here are some of the Key Advantages which is given below: - source code: https://www.retailgators.com/how-to-extract-alibaba-products-data-with-scrapy.php