Enterprise Web Scraping Services
Businesses looking to analyze their competitors as well as trends in the marketplace can gather large amounts of publicly available information and have it analyzed in a way that is beneficial for business decision-making.
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1,000+
Enterprise Web Sources
Covered
5,000+
Enterprise Data Pipelines
Implemented
25M+
Data Extracted with
Accuracy
24/7
Dedicated Technical
Assistance
Powering Enterprise Decisions with Reliable Web Data
RetailGator’s managed enterprise crawling services offer secure, scalable, and governance-compliant solutions for gathering publicly available data from multiple online sources by integrating with the enterprise analytics, research and decision-support systems of the customer.
Enterprise-Wide Web Data Coverage
We extract data across large, distributed web ecosystems to support enterprise-level visibility and intelligence.
- Multi-domain and multi-platform extraction
- Cross-industry and cross-market sources
- Global and regional web properties
- High-volume public information portals
- Enterprise-relevant data sources
- Continuously evolving digital environments
Real-Time and Continuous Data Pipelines
We enable always-on data extraction pipelines for enterprises that require constant data and visibility.
- Near real-time data collection
- High-frequency extraction schedules
- Automated change detection
- Incremental data updates
- Event-driven data refreshes
- Continuous monitoring workflows
Historical Data Scraping and Trend Analysis
We support the practice of collecting and analyzing long-term historical data in order to create trend identification and retrospective analysis for back-testing.
- Historical data snapshots for long-term analysis
- Time-series data collection across multiple sources
- Long-term pattern tracking and trend visibility
- Version-based data comparisons over time
- Change history preservation for audit readiness
- Trend and movement analysis for decision support
Advanced Web Data Infrastructure Built for Enterprises
Scalable web scraping systems supporting enterprise analytics, governance, and long-term data programs.
Our enterprise software enables a robust and high-volume web extraction system infrastructure that supports data stewardship and governance. Our scalable enterprise-grade data crawling program is supported by continual monitoring to ensure reliability, stability, and performance at scale. We proactively optimize our process to identify and resolve discrepancies early, maintain accuracy in our data extraction, and support the steady flow of clean and accurate data for corporate initiatives over time.
MEWC has Military Grade Security, including Access Control, Secure Transfer Protocol, and Enterprise Grade Handling Procedures. This is how MEWC protects the integrity of your data and ensures that it is able to be integrated safely into your organization’s internal systems or platforms.
The Anti-Blocking Technology built into our Web Scraping Platform has highly Adaptive Request Behavior and Resilient Designs to help minimize the likelihood of detection and maintain the consistency of Data Collection in Technically Complex and Highly Restricted Web Environments.
The scraping infrastructure for our large-scale Web extraction services has been built with an emphasis on a large volume, multi-source extraction capability across multiple domains and geographies. Using Scalable Architectures, along with Parallel Processing, provides a highly Efficient and Reliable Data Extraction Process for millions of records over long periods of time.
In addition to extracting and/or collecting the data, our Data Extraction Solutions provide clients with the ability to collect regional-specific content, the ability to See Geographic or Regional Differences, and provide Regional Signals to support Geographic Analysis, Localization Strategy, and Regional Intelligence.
We customize all Enterprise data scraping processes to meet the unique requirements of our clients, including the scope, frequency and format of data, method of delivery and what is required to integrate with internal systems. Flexible pipeline designs enable us to develop a solution to meet our client’s internal processes, to support the analytics systems they are using as well as to align with their overall business objectives.
Our enterprise-grade managed enterprise crawling service and data collection solutions must be scalable and must only crawl publicly available information in accordance with any applicable laws, website policies, and compliance regulations. It is our policy to adopt Responsible Scraping Practices in order to minimize the risk that could potentially arise in the course of using scraped data, while at the same time, provide a transparent and compliant way to utilize the information gathered from the web.
Embedded in every phase of the Enterprise Data Scraping Lifecycle is a quality assurance component that incorporates automated validation checks, consistency rules and monitoring systems to ensure that the datasets produced by our clients are accurate and reliable. Clients will have all the Data needed to support critical analysis and decision making.
Structured Web Data Intelligence for Enterprises
Reliable, Scalable Web Data for Unmatched Enterprise Decision-Making
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Scalable Enterprise Web Data Scraping Infrastructure
Our enterprise web development platform enables large enterprise systems to access large amounts of structured web data reliably with a high level of scalability. This allows our clients to continuously analyse data and monitor and understand market conditions while making decisions based on what is currently happening in their business or industry.
Reliable Data Delivery at Scale
Data is consistently delivered on time with accurately structured data for reliable access throughout each extraction cycle.
Built-In Data Quality Assurance
Automated checks are performed on each extracted data point to ensure that the data is accurate, complete, and consistent among all of the datasets.
Adaptive Scraping Architecture
The scraping logic of the extracted data is flexible so that it can adapt to any changes on the websites, thereby ensuring stable, uninterrupted extraction of the data for the long term.
Easy Data Access
- Provides the users of the data with a formatted structure that is easy to read and use through both tools and system applications
- Makes it simpler for the analyst and team members as well as many internal platforms, to manage and work with their extracted data
- Decreases the amount of preparation the teams have to perform to get their data ready for analysis or reporting.
- Allows the teams to spend most of their time focused on deriving insights versus cleaning their data.
Ongoing Data Accuracy Checks
- Ongoing checks of the data to identify errors, gaps or inconsistencies
- Data extracted will continue to be an accurate representation of the data used
- Increase confidence in the extracted data for making business decisions
- Eliminate the need to recreate any work due to the use of bad or unreliable data
Consistent Data Availability
- Regular deliveries of the data without interruption
- Unlike other available data, extracted data maintains a consistent line of structure through each extraction cycle
- Ability to access the same consistent form of data for continual analysis and reporting purposes
- Allows for reduced interruptions associated with limited available or missing data.
Real-World Enterprise Web Data Use Cases
Practical applications of large-scale enterprise web data
Geographic Market Analysis
The collection of geographic market analysis, including regional-specific data available from public sources on the internet, provides the opportunity to assess the strength of an organization’s presence within specific regions, differences in the regions, and location-based opportunities for doing business in multiple countries or regions.
Supply Chain Visibility
Through the collection of public supplier information, supply chain updates, and supplier information published electronically, organizations can gain a better understanding of their supply chain and make better supply chain planning decisions when operating in a dispersed environment.
Product Catalog Management
Publicly available product catalogs, associated specifications, and changes to product catalogs, available from websites, can be compiled into standardized datasets and will assist organizations in maintaining accurate, up-to-date product information.
Industry Benchmarking
Publicly available data will enable organizations to benchmark their pricing strategies against competitors within their specific industries by comparing products, service pricing signals, content activity, and the overall competitiveness of each organization.
Advertising and Promotion Tracking
Public advertising, promotional activity, and related advertising material available from competing and non-competing organizations can be collected and reviewed to observe marketing activity by industry, marketing trends, and promotional timing and strategies between the two.
Reputation Analysis & Monitoring
Online mentions, reviews, and equally important, SentimentIndicators can be collected into Centralized datasets and used to perform analysis of Brand Perception and proactively manage reputations.
Customer Feedback Tracking
Structured datasets can be created from public customer feedback (Testimonials) and Reviews posted to different websites. By using this data, companies can improve their products and services as a result of understanding how users experience their products.
Competitive Intelligence Monitoring
Publicly available competitor data such as pricing signals, product information and content updates, can be collected into a structured dataset. By using this dataset, a company can keep track of its competition, enabling it to react quickly to any changes in the marketplace.
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- 60-minute consultation
- Custom use case analysis
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Free Strategy Session
Discuss your data needs with our experts and get actionable recommendations.
- 60-minute consultation
- Custom use case analysis
- Platform recommendation
Free Strategy Session
Discuss your data needs with our experts and get actionable recommendations.
- 60-minute consultation
- Custom use case analysis
- Platform recommendation
What Our Clients Say
Trusted by leading brands worldwide to deliver actionable market intelligence
“Team Retailgator is outstanding to work with. I am very impressed with their Retail Web Scraping services and will collaborate with them for my multiple requirements. They offer fair pricing with quality work!”
Brian Lawson
“Retailgator has done a wonderful job with my Retail Data Scraping services requirements. Though, there were some problems, these guys have doubled their sources to get the problem solved.”
Ann C Dennison
“Retailgator did an outstanding job. The pricing was right and they have done multiple modifications quickly. Their service very good. I will certainly use them again. I certainly recommend their services!”
Laverne V Hoyt
Frequently Asked Questions
What sets enterprise web data scraping apart from basic scraping tools?
Enterprise web data scraping solutions are built to support large scale continuous, high-volume workflows. Unlike basic web data scraping tools, enterprise scrapers are built to enable organisations to collect, manage and access data on a continuous basis rather than just collecting data for a single use or manual operation. As a result, enterprise scrapers can support traditional enterprise applications such as product pricing intelligence, competitive analysis, and retail price tracking.
What types of companies can most benefit from using web data scraping services?
All types of enterprises that utilise external web content to conduct research, monitor competitors, manage market trends, and produce reports will find web data scraping services support their ability to conduct research and analysis on their competitors. Typical company types using web data scraping include retail, financial services, technology, logistics, and consulting companies. Generally speaking, any organisation that needs reliable, repeatable access to publicly available web data from many different sources can benefit from using enterprise-grade web data scraping services.
How is web data that is scraped from the web provided to enterprise teams?
Web data that is scraped from the web is typically provided in electronic, structured, and standardised formats to support the workflow of the enterprise. Common web data delivery formats include files (such as CSV), databases, and more. Delivery of scraped web data is typically determined at the time of contract execution to ensure scraped data is delivered to the enterprise on a regular and consistent basis. Web data is easily accessible to enterprise teams and can be integrated into enterprise systems for further analysis in dashboarding systems, analytics tools, and internal data applications without requiring additional data cleansing or transformation efforts.
Does the enterprise web data scraping service provide a way to support long-term projects?
Yes, a scalable enterprise-grade data crawling solution helps organisations collect consistent data over many months or years. The way the organisation collects its data will establish a pattern, and the data extraction process will evolve, permitting the organisation to continue collecting the same data over time. The long-term data collection capability provides the foundation for trend analysis and the monitoring of initiatives and programmes using both past and current data.
How much flexibility can enterprises expect from their enterprise web data scraping service?
Enterprise web data scraping service offers organisations a high level of flexibility. This is because the service can be built around the needs of the organisation in terms of data sources, how frequently the data is collected and more. As a result, organisations receive the ability to integrate web data collection with their own specific objectives.
How does RetailGators ensure that the data collected is accurate and compliant with the law?
RetailGators utilises an advanced structured approach to extract data, verifies the accuracy of the extracted data, and has a controlled workflow process to guarantee that the quality of data across each dataset remains consistent. All web data collected is limited to only publicly accessible sources, and every web data collection activity is compliant with all applicable laws and the terms of the corresponding website.
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