https://store.scrapehero.com

Location Data High quality retail store, hotel, car dealer, gas stations locations and other points of interest Download millions of accurate, verified, updated and affordable Points of Interest (POI) and locations instantly as an Excel spreadsheet

Accurate The datasets we provide undergo at least 10 stringent quality checks before we publish them

Updated We have one of the best update cycles in the industry. Most datasets are updated weekly

Instant Download the data instantly from our website for immediate use in your projects or use it as an API feed to integrate it with your applications

We have the best pricing online Shop around, we are certain you will not find better pricing for the latest location data anywhere online. We also have subscriptions available for getting unlimited updated data weekly

Convert websites into useful data Fully managed enterprise-grade web scraping service Many of the world's largest companies trust ScrapeHero to transform billions of web pages into actionable data. Our Data as a Service provides high-quality structured data to improve business outcomes and enable intelligent decision making

Join 8000+ other customers that rely on ScrapeHero

Large Scale Web Crawling for Price and Product Monitoring - eCommerce, Grocery, Home improvement, Shipping, Inventory, Realtime, Advertising, Sponsored Content - ANYTHING you see on ANY website.

Amazon, Walmart, Target, Home Depot, Lowes, Publix, Safeway, Albertsons, DoorDash, Grubhub, Yelp, Zillow, Trulia, Realtor, Twitter, McDonalds, Starbucks, Permits, Indeed, Glassdoor, Best Buy, Wayfair - any website.

Travel, Airline and Hotel Data Real Estate and Housing Data Brand Monitoring Human Capital Management Alternative Data Location Intelligence Training Data for Artificial Intelligence and Machine Learning Realtime and Custom APIs Distribution Channel Monitoring Sales Leads - Data Enrichment Job Monitoring Business Intelligence and so many more use cases

We provide data to almost EVERY industry and some of the BIGGEST GLOBAL COMPANIES

The Easiest Way to Collect Data from the Internet Download anything you see on the internet into spreadsheets within a few clicks using our ready-made web crawlers or a few lines of code using our APIs

We have made it as simple as possible to collect data from websites

Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.

Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.

Twitter Scraper Twitter Scraper Get tweets, Twitter handle, content, number of replies, number of retweets, and more. All you need to provide is a URL to a profile, hashtag, or an advance search URL from Twitter.

Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.

Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.

Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.

Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.

Amazon Best Sellers Amazon Best Sellers Get the bestseller rank, product name, pricing, number of ratings, rating, product images, and more from any Amazon Bestseller List.

Google Search Scraper Google Search Scraper Scrape Google search results and get details like search rank, paid and organic results, knowledge graph, related search results, and more.

Walmart Product Reviews & Ratings Walmart Product Reviews & Ratings Get customer reviews for any product on Walmart.com and get details like product name, brand, reviews, and ratings.

Scrape Emails and Contact Details Scrape Emails and Contact Details Get emails, addresses, contact numbers, social media links from any website.

Walmart Search Results Scraper Walmart Search Results Scraper Get Product details such as pricing, availability, reviews, ratings, and more from Walmart search results and categories.

Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.

Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.

LinkedIn Jobs Scraper Premium LinkedIn Jobs Scraper Scrape job listings on LinkedIn and extract job details such as job title, job description, location, company name, number of reviews, and more.

Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.

Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.

Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.

Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.

Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.

Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.

Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.

Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.

Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.

The global data extraction service market is experiencing robust growth, driven by the increasing reliance on data-driven decision-making across various industries. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This expansion is fueled by several key factors, including the exponential growth of unstructured data, the rising demand for real-time data insights, and the increasing adoption of automation technologies in data processing. Businesses across sectors, from finance and e-commerce to healthcare and market research, are actively seeking efficient and scalable solutions to extract valuable information from diverse data sources, including websites, databases, and APIs. The market is further propelled by the development of sophisticated AI-powered data extraction tools that offer improved accuracy, speed, and efficiency. This trend towards automation is reducing manual effort and costs associated with data extraction, making it accessible to a wider range of businesses. Despite the substantial growth potential, the market faces challenges including concerns related to data privacy and compliance with regulations like GDPR. The complexity of handling various data formats and the need for ongoing maintenance and updates of extraction tools also pose hurdles. However, the continuous innovation in data extraction technologies, coupled with the rising demand for data analytics and business intelligence, is expected to outweigh these constraints and sustain the market's growth trajectory. The segmentation of the market into various service types (e.g., web scraping, API extraction, data cleansing) and deployment models (cloud-based, on-premise) presents opportunities for specialized players to cater to specific customer needs. The competitive landscape comprises a mix of established players and emerging startups, indicating a dynamic and evolving market.

The global enterprise-grade web scraping service market is expected to grow from $XX million in 2025 to $XX million in 2033, registering a CAGR of XX% during the forecast period 2025-2033. The increasing demand for data-driven insights and the growing adoption of digital technologies are driving the growth of the market. Furthermore, the increasing need for efficient and cost-effective data extraction solutions is further contributing to the growth of the market. North America is expected to hold the largest share of the market due to the presence of a large number of technology companies and the early adoption of web scraping solutions. Europe is expected to be the second-largest market due to the growing demand for data-driven insights and the presence of a large number of SMEs. Asia Pacific is expected to be the fastest-growing region due to the increasing adoption of digital technologies and the growing number of startups. The key players in the market include Apify, PromptCloud, DataHen, Agenty, Web Screen Scraping, ScrapeHero, 3i Data Scraping, ReviewGators, Actowiz Solutions, Sequentum, X-Byte, Zyte, Upsilon, IWeb Scraping, BinaryFolks, iWeb Data Scraping, DataForres, Web Scrape, GrowTal, Mozenda, BotScraper, and Octoparse.

The commercial centre is anticipated to arrive at USD 886.03 Million in 2025 and is required to develop to USD 4369.4 Million by 2035, recording a CAGR of 17.3% over the figure time frame.

Metric	Value
Market Size (2025E)	USD 886.03 Million
Market Value (2035F)	USD 4369.4 Million
CAGR (2025 to 2035)	17.3%

Country-wise Insights

Country	CAGR (2025 to 2035)
USA	24.5%

Country	CAGR (2025 to 2035)
UK	23.8%

Country	CAGR (2025 to 2035)
European Union (EU)	24.0%

Country	CAGR (2025 to 2035)
Japan	24.3%

Country	CAGR (2025 to 2035)
South Korea	24.6%

Competitive Outlook

Company Name	Estimated Market Share (%)
Bright Data (formerly Luminati)	15-20%
ScrapeHero	12-16%
Apify	10-14%
Oxylabs	8-12%
DataDome	6-10%
Other Companies (combined)	35-45%

The global web scraping software and platform market reached a valuation of USD XXX million in 2022 and is estimated to expand at a CAGR of XX% during the forecast period of 2023-2030. The rising need for data-driven decision-making, the proliferation of e-commerce, and the growing adoption of big data analytics are key factors fueling market growth. Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) are enabling the development of more efficient and accurate web scraping tools. Segmentation-wise, the enterprise segment is expected to hold a dominant share of the market due to the increasing adoption of data-driven strategies by businesses to gain insights into customer behavior, market trends, and competitive landscapes. Geographically, North America is projected to remain the largest market due to the presence of leading tech companies and mature data analytics infrastructure. Asia-Pacific is anticipated to exhibit the fastest growth rate owing to the rapidly expanding e-commerce sector and government initiatives promoting digitalization. Key players in the market include Apify, Webz.io, Sequentum, Fminer, ParseHub, Scrapestack, import.io, Scrape Owl, Outwit, Bright Data, Agenty, Dexi smart, Data Streamer, Scrapingbee, Scrapy, Scraper API, Octopus Data, Prowebscraper, Mozenda, Diffbot, ScrapeHero, Data Scraper, and Visual Web Ripper.