Data Scraping: Turn Sources into a Database
We collect data from websites, APIs, and databases. Our team transforms these sources into clean datasets for your AI tools. DATAFOREST builds pipelines to unify internal and external data into a single system. This process removes silos. You get a single source of truth. We bring 20 years of data experience. Our 92% retention level shows that leaders trust our work and return for more projects.
PARTNER
PARTNER
FEATURED IN
01
AI-powered dynamic site scraping
Our software extracts data from JavaScript websites and search engine results. Our team uses computer science to break security blocks like CAPTCHA. Get data for your AI models within 24 hours. Our engineers build custom tools for your professional processes.
02
Scaling up the business with proxy work
We manage terabytes of features with a fleet of distributed scrapers. Our machine learning software retries failed applications to keep systems running. This system ensures 99.9% uptime for your competition tracking needs. Your team builds product roadmaps with our powerful data scraping service.
03
Implementation-ready classification
DATAFOREST analyzes robots.txt files and edits personal data. We hold the source to comply with CCPA and GDPR regulations. Services also include legal agreements to protect your business from risk. Our process makes your collection legal and safe for your business.
04
Real-time ETL to AI pipelines
We deliver data in JSON or CSV formats to your existing systems. It feeds into Databricks or large language models for automation. Our team starts your project and launches the data scraping service pipeline within seven days. Your company avoids the cost of hiring internal engineering staff.
05
Adaptive maintenance for layout shifts
Our AI systems monitor websites for layout changes to find new code patterns. The software retrains agents after every single site change. This process keeps your info feeds running without the need for manual work. You receive steady data for your sales teams without any service interruption.
06
Industry-tuned scraping for tech verticals
We build custom agents for retail pricing and financial filings. These tools bypass security that standard software cannot handle. It helps your team make decisions 20% to 30% faster. Our engineers adapt each data scraping service tool to the rules of your industry.
Turn scattered data into a decision-ready asset in 2 weeks
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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.
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!
Leadmarket is the lead-collecting web solution made by Dataforest.
All Success Stories
The Data Scraping Service Process
We check the quality and legal rules for every source. This work keeps your project safe and your data accurate.
Select your sources
We look for the best facts in websites and document stores. Our team checks the legal terms for every source. We confirm the data quality. We start the work after this check.
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Plan the collection
We create a data scraping service plan to pull TBs without slowing your servers. This plan lists the tools we use and the collection times. We follow the rules of every site we visit.
02
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Pull the data
Inside the data scraping service, our software turns web content into files for your team. We store it in a secure area.
03
Clean the files
We run scripts to find errors or missing values. Our team fixes these mistakes to keep the numbers right. Clean data helps your team make better choices.
04
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Format the files
We put the clean data into tables or JSON files. This makes the info ready for your team. They can plug these files into their own software.
05
Manage the flow
We check the data scraping service feeds daily to fix broken links. This work keeps your reports current for the board. We update the facts to keep them fresh.
06
Business Challenges Data Scraping Solves
Our automated data-scraping pipelines link your separate tools into one source. These systems cut manual labor costs by 40% for AI software.
Partition between systems
Critical data consists of different tools, methods, and sources, preventing a unified business identity.
Slow decision
The guide looks for delayed or incomplete reports instead of real-time, recorded information.
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High cost of manual processing
Organizations spend time extracting, copying, cleaning, and processing data, driving hidden labor costs.
Data that cannot be used for AI or automation
Raw data is not properly structured or reliable to power dashboards, workflows, or AI processes.
Real-time access to relevant data
Address the problem of decision delays caused by outdated or incomplete data.
Reduce costs in data scraping
Eliminate manual labor and reduce operational costs through automated data scraping services by efficiently managing new collection activities.
Data sets configured and ready to use
Avoid complexity and inefficiencies from complex raw data—get clear, actionable insights quickly.
Scalable functions
Eliminate the limitations of small systems by easily adding new resources and handling growing amounts of data.
Data-driven business decisions are faster
Overcome delays and uncertainties by providing decision makers with reliable market information in real time.
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Legal compliance and protection
Our data scraping services follow GDPR and CCPA rules to protect your sensitive files. We build security layers to keep your private information safe.
Data Scraping Service in Our Articles
All publications
August 1, 2025
9 min
Top 7 Real Estate Data Scraping Companies in 2025
August 1, 2025
12 min
The 48-Hour Competitor X-Ray: Web Scraping Tactics to Benchmark Price, Stock, and Promo Moves
August 1, 2025
11 min
Scrape to Scale: Using Customer Reviews to Forecast Product Demand and Drive Strategic Decisions
Questions on Data Scraping Services
Is data scraping legal for business use?
Scraping public sites without bypassing login screens is legal. Tech CEOs must remove names and emails to follow the 2026 GDPR and CCPA rules. Reviewing robots.txt files and limiting server requests prevents breach of contract claims after data scraping.
Can data scraping integrate with our existing systems?
Our automated data-scraping pipelines deliver clean files to platforms like Databricks or Snowflake. These tools connect to your current workflows without the need for additional engineering hires. Managers can feed these live figures into AI agents to speed up internal reporting.
How long does it take to implement a custom data scraping solution?
Teams launch a working pilot for new sources within two to four weeks. This timeline fits into execs’ agile sprints and allows for rapid testing of quality. Data scraping systems with multiple site audits may require six weeks to reach full production scale.
Can data scraping support AI and machine learning initiatives?
C-levels consider scraped info provides the raw text needed to feed internal RAG systems and LLMs. The data-scraping pipelines supply fresh competitor facts to your sales agents and predictive models. Using live web details ensures your AI outputs reflect current market conditions rather than old training sets.
How scalable are data scraping solutions?
Modern data scraping tools use cloud servers to pull millions of records every day. We use thousands of residential proxies to avoid site blocks and server bans. Large tech teams’ leaders can monitor 200 sites at once without slowing down their internal apps.
Is custom web scraping legal for US tech companies under the 2026 CCPA rules?
v'll figure out the best way to handle it for you—keeping an eye on both performance and what makes sense cost-wise.
Can scraped data feed directly into my AI agents or Databricks pipelines?
Our data scraping tools deliver clean JSON files directly into your Databricks storage. The pipelines feed live info into your AI agents without any manual work from ICP or an engineering team. This setup allows your software to use fresh market facts for automated tasks.
Let’s discuss your project
Share project details, like scope or challenges. We'll review and follow up with next steps.
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