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Data Scraping: Web Harvesting

DATAFOREST has experienced data engineers who can scrap information from over 500 million web pages daily. We use crawlers that browse web pages, parsing libraries that break down web page structures, request management systems that handle IP rotation, and request throttling to avoid detection. Data transformation engines convert raw content into structured formats.

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Web Scraping Solutions

We share programmatically navigating web environments, intelligently extracting specific data points, and converting raw web content into business intelligence through AI technologies and robotic data processing.
01

Data Management for E-Commerce

Automatically scrape product details, pricing, reviews, and inventory by DOM parsing, AJAX request interception, and intelligent data normalization powered by multi-source collection techniques.
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02

Price And Stock Monitoring Solutions

Implement real-time web monitoring scripts that scan designated websites, detecting price and stock level changes through comparative algorithms and scheduled request cycles. They leverage information intelligence frameworks.
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03

Scraping For Real Estate

Deploy crawlers that navigate real estate listing platforms, extracting property details, pricing trends, location metadata, and comparative market information using geospatial parsing and structured data extraction. These tools integrate digital transformation principles.
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04

Lead Generation Solutions

Construct intelligent web scraping frameworks that identify potential customer contact information from professional networks, business directories, and industry-specific websites using advanced pattern recognition and contact data validation.
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05

Market Research And Insight Analysis

Design data aggregation systems that collect, correlate, and analyze web-sourced information from domains, transforming data into market intelligence through advanced data mining and semantic analysis techniques. These systems operate as part of an analytical platform for business insights.
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Transform scattered web data into actionable intelligence with our enterprise

- grade scraping service – because opportunities don't wait.
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Scraping Data in Other Industries

We provide domain-specific customization, where scraping technologies are meticulously tailored to extract, process, and transform data through industry-unique parsing algorithms and contextual intelligence frameworks. These specialized solutions integrate deep domain knowledge, regulatory compliance mechanisms, and precise data normalization techniques.
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E-commerce Insights

Track digital marketplace dynamics by deploying adaptive price and product monitoring bots that capture real-time competitive landscapes.
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Fintech Intelligence

Extract market signals through sophisticated financial web crawlers that analyze investment platforms, economic indicators, and trading environments.
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Marketing Intel

Construct competitive reconnaissance systems that map digital brand landscapes, audience behaviors, and market positioning.
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HR Tech Corporate Analytics

Build intelligent talent ecosystem mapping tools that parse professional networks, job boards, and career platforms.
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Insurance Risk Engineering

Design comprehensive data aggregation frameworks that synthesize multi-source risk indicators and predictive analytics.
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Logistics Optimization

Create dynamic supply chain intelligence networks that track global trade, transportation trends, and market flow indicators.
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Your team wastes 63% of their time manually collecting data.

We automate that. Ready to focus on strategy instead of spreadsheets?
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Web Scraping Service Cases

The Service Platform for Food Distributors

The client had an idea for a food service platform to collect the leads for the food suppliers and distributors. The main idea was to collect the info about the restaurants and then use the data to calculate the possible contract values. Dataforest created the web solution using complicated data parsing and processing logic alongside the backend development of the solution itself.
1 mln

USA restaurants data

5

connections with external data sources

The Service Platform for Food Distributors preview
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First Bite is a food service data, CRM, and selling tool in one solution.

Real Estate Lead Generation

Our client requested a lead generation web application. The requested platform provides the possibility to search through the US real estate market and send emails to the house owners. With over 150 million properties, the client needed a precise solution development plan and a unique web scraping tool.
156 mln

real estate objects

2 sec

search run

Real Estate Lead Generation preview
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Stantem enables lead generation automation in the US real estate market.

Lead-collecting Web Solution

Leadmarket is the lead-collecting web tool made by Dataforest. We’ve built a solution that provides a fast and precise lead search from various sources like Google Places, Facebook Business Pages, Yelp, and Yellowpages in one place. The collected lead bases from the USA's e-commerce, insurance, retail, and finance industries can be set to auto-update as quickly as every 10 minutes!
10

minutes auto-update

904

Search categories

Leadmarket preview
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Leadmarket is the lead-collecting web solution made by Dataforest.

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Scale your business intelligence without scaling your team.

Automated data scraping pays for itself in the first month.

Web Data Scraping Process

While traditional data engineering processes focus on structured database transformations, data scraping services dynamically extract unstructured web content in real time, requiring more adaptive and intelligent parsing technologies.
Strategic Roadmap Creation
Target Identification
Precisely define the digital territories, websites, and data sources that align with specific business intelligence objectives.
01
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Crawler Configuration
Design and deploy web crawling algorithms tailored to navigate complex digital landscapes while respecting website structures and potential access restrictions.
02
Flexible & result
driven approach
Data Extraction
Execute advanced parsing techniques that dynamically extract structured information by intelligently interpreting HTML, XML, and JavaScript-rendered content.
03
Big Data Analytics in Healthcare
Data Cleansing
Apply rigorous data normalization algorithms to transform raw scraped content into clean, standardized, and intelligent analysis-ready formats.
04
Improved Collaboration Among Healthcare Teams
Data Validation
Implement multi-layered verification mechanisms that cross-reference extracted data against predefined quality metrics and eliminate potential anomalies.
05
AI and Machine Learning for Healthcare
Insight Generation
Convert processed data into meaningful visualizations, reports, and actionable intelligence that directly support business decision-making.
06

Challenges Addressed by Scraping Services

The challenges in data scraping services emerge from the explosive growth of digital information that overwhelms traditional research methods. These challenges represent technological solutions responding to the complexity of modern business intelligence requirements.

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Automation of
routine information
gathering
Create intelligent systems that systematically collect data without constant human supervision.
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Minimizing human
factor in data
analysis
Develop AI models capable of processing complex datasets faster and more objectively than manual analysis.
Regulatory Compliance
+
Reducing time
and financial
costs for analytics
 Build scalable infrastructures that dramatically reduce operational expenses and accelerate insight generation.
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Obtaining current
and accurate
market information
Design mechanisms that rapidly aggregate and validate information from multiple digital sources.

Scraping Services Advantages

We transform raw web data into business intelligence through automated collection and processing. They focus on delivering clean, structured, and compliant data that can be utilized within existing business systems.

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Parsing Data from Internet Resources
Automated extraction of relevant information from various online sources with high accuracy and efficiency.
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Deep Analysis of Large Data Sets
 Advanced processing of collected data to uncover patterns, trends, and valuable insights.
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Data Cleaning and Structuring
Transformation of raw, unorganized data into clean, properly formatted, and easily manageable datasets.
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    Integration with Corporate Management Systems
    Seamless connection between scraped data and existing business software for immediate practical application.
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    Instant Analytics and Result Visualization
    Real-time conversion of processed data into comprehensible visual representations and analytical reports.
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    Compliance with Information Security Norms
    Adherence to legal and ethical data collection and processing standards while maintaining data privacy and security.

    Web Scraping as A Service Articles

    All publications
    Article image preview
    November 13, 2024
    29 min

    Top-15 Web Scraping Use Cases in 2024: The Gold Rush

    Article image preview
    April 28, 2023
    18 min

    What is Web Scraping and How Can It Benefit Your Business in 2025?

    Article image preview
    April 26, 2023
    16 min

    Web Scraping and API complement each other

    All publications

    FAQ

    How is the confidentiality of collected data guaranteed?
    What is the accuracy of information parsing?
    How long does data collection take?
    Can your service be integrated with our existing system?
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