WEB DATA HARVESTING & EXTRACTION

Web Scraping and Data Extraction Services

Moltech helps US and Canadian businesses turn website information into structured data for product comparisons, market research, and reporting. We collect selected records, clean and match the data, and deliver it in a file or connect it to your existing business software.

Choose a one-time dataset, recurring data collection, or a custom scraper built for your workflow. We begin by reviewing your sources and agreeing a limited sample scope, so your team can check the output before expanding the work.

Web Scraping and Data Extraction Services - Moltech Solutions Inc.
CUSTOMER SITUATIONS

Where Is Manual Data Collection Slowing Your Team Down?

Help your team recognize common bottlenecks and discover repeatable ways to collect, clean, and compare the right web observations.

01

Your team keeps copying information into spreadsheets

Product details, published rates, or business listings are checked one page at a time. You need a repeatable way to collect selected fields without asking staff to repeat the same work for every update.

02

You have data, but it is difficult to compare

Names, categories, currencies, and formats differ between sources. You need consistent fields and clear matching rules so your team can compare the right records and identify uncertain matches.

03

Your reports depend on information outside your systems

A useful report may need data from several websites alongside your internal records. You need to know where each observation came from, when it was collected, and how it will reach the reporting system.

04

An existing collection process needs attention

Your current script misses fields, fails after a website change, or produces files that need extensive correction. We can review the sources, sample outputs, and existing setup to identify what needs to change.

SERVICES WE PROVIDE

Web Scraping and Data Extraction Services We Provide

Choose the support your team needs: a delivered dataset, a scraper built for your workflow, or a recurring feed connected to your software. These services can be combined in one project; you do not need to purchase them separately. We confirm sources, sample scope, and delivery responsibilities before work starts.

Web Scraping and Data Extraction Services Illustration
01

Custom Collection and Development

Managed collection workflows and tailor-made scraper systems.

Custom Web Scraping Services

Collect selected information from agreed websites and turn it into records your team can use. Moltech can develop and run the workflow, map the required fields, and deliver structured output with a summary of coverage and exceptions. This suits a defined dataset or managed collection engagement.

Custom Web Scraper Development Services

Build a scraper around your sources, field definitions, and operating workflow. The scope identifies who hosts and runs it, how it is configured, and what source-code access, documentation, training, and handover are included. Ownership, third-party dependencies, and ongoing support are agreed in the proposal.

Automated Web Data Collection Services

Keep an agreed dataset updated through scheduled collection. Define source coverage, refresh frequency, timestamps, and handling of changed or missing records. The recurring service plan sets out monitoring and issue reporting so your team can identify an incomplete run before relying on its output.

02

E-commerce and Industry Data

Targeted market data across retail, hospitality, travel, and commercial directories.

E-commerce Data Scraping Services

Bring product listings, prices, promotions, and displayed availability from selected online retailers into one dataset. Use it for assortment reviews, market comparisons, and reporting. For US and Canadian sources, identify the storefront, region, currency, and product categories relevant to the market you want to study.

Product Data Extraction Services

Prepare product names, identifiers, brands, descriptions, specifications, and variants for catalog enrichment or comparison. Moltech maps available attributes into your agreed catalog structure and highlights missing information. Your team receives organized product records and the field definitions needed to review or import them.

Competitor Price Monitoring Services

Track listed prices and promotions for selected products on an agreed schedule. Record the source market, USD or CAD currency, variant or pack size, and collection time, with tax and shipping context where available. Product matching identifies observations suitable for comparison and those needing review.

Hotel Data Scraping Services

Collect property details, amenities, room types, published rates, ratings, and review counts from agreed sources. For hotel rate monitoring, define stay dates, occupancy, currency, and available meal, tax, fee, and cancellation conditions. Deliver observations your team can use for rate benchmarking or property research.

Travel Data Extraction Services

Organize accommodation listings, destination information, and other agreed travel-related records for research or reporting. The dataset follows the locations, languages, dates, and fields relevant to your business. Share representative sources so we can confirm coverage before proposing additional travel categories.

Business Directory Data Extraction Services

Prepare company names, categories, locations, and source references from agreed directories for market research or internal reference. Moltech maps and cleans selected fields into a consistent format. Source assessment confirms permitted use and which information belongs in the dataset.

03

Data Preparation and Matching

Transform raw observations into uniform records aligned with your internal records.

Data Cleaning and Deduplication Services

Standardize collected fields, formats, units, and categories, and identify duplicate or incomplete records. Keep original currencies visible; conversion is a separately defined transformation with an agreed reference and date. Deliver a consistent dataset with the cleaning rules and exceptions needed to interpret it.

Product and Property Data Matching

Connect collected records to an approved product catalog or property list using identifiers and agreed attributes. Separate confirmed matches, uncertain candidates, and unmatched records. This helps your team avoid comparing different sizes, variants, or similarly named properties as equivalent items.

04

Delivery and Ongoing Support

Seamless delivery connections, field mapping, and maintenance assistance.

Data Feed and API Integration Services

Move collected records into the software your team uses through CSV, Excel, JSON, or an agreed API or database connection. Moltech can map fields, apply import rules, and test how records reach your reporting database, catalog, portal, or custom application.

Web Scraper Maintenance and Support

Investigate failed collections, missing fields, and source changes in an existing or newly developed scraper. Moltech can review the setup, make agreed fixes, and check representative output. The support arrangement identifies monitoring, issue handling, and changes included in maintenance.

Need a Different Dataset?

Tell us what information your team needs and what it should help you accomplish. A few source examples are enough to begin the discussion.

WAYS TO ENGAGE

Receive the Data or Commission a Custom Scraper

Choose an engagement structure that matches your operational capacity and frequency needs.

01
One-Time Data Collection
DELIVERED DATASET

One-Time Data Collection

For a defined research or preparation task, agree the sources, fields, collection window, and delivery format. A sample helps confirm the structure before the agreed collection is completed. Later refreshes are scoped separately.

03
Custom Web Scraper Development
TAILORED SYSTEM

Custom Web Scraper Development

Commission software built around your workflow and operating environment. Agree who hosts and runs it, how it connects to your systems, and what source-code access, documentation, training, and support are included. Ownership and handover are defined in the proposal.

SAMPLE OUTPUT

See Which Product Offers Can Be Compared

Illustrative comparison only. The stores, product observations, and prices below are fictional.They are not live market data or client results.

Imagine a team comparing a blue, 750 ml insulated bottle sold as a single item. The dataset should show whether each observation refers to the same variant, which currency it uses, and which matches need review.

ILLUSTRATIVE SOURCEOBSERVED VARIANTLISTED PRICEMATCH REVIEW
US Store A
Blue / 750 ml / single itemUSD 24.00Matches agreed variant
Canadian Store B
Blue / 750 ml / single itemCAD 32.00Matches agreed variant
Canadian Store C
Blue / 750 ml / pack unclearCAD 29.50Review pack size
Product Comparison Dashboard 3D Illustration

All three fictional observations were collected on 20 October 2026 at 14:00 UTC. Shipping and tax were not established, so these are not total purchase costs. USD and CAD values have not been converted and must not be ranked directly.

The third offer needs review because its pack size is unclear. Your team can resolve the match before using it in a comparison. Delivered records can include source URLs, timestamps, missing-value flags, and agreed identifiers to make those checks traceable.

Delivery can use CSV, Excel, JSON, or an agreed application or database connection. We confirm the fields, format, and update rules with your team.

DELIVERABLES

Know What Your Team Will Receive

Before work begins, we agree which deliverables are included and how the results will be checked.A dataset is most useful when your team understands its coverage and limitations.

01

A source and field specification

A record of the agreed websites or source types, required fields, filters, volume assumptions, and collection timing. Field definitions identify the format and how missing or unavailable values should be represented.

02

A sample for review

A representative output that your team can check before the full collection. This helps reveal missing fields, inconsistent formats, and matching questions while the scope can still be adjusted.

03

The agreed dataset or delivery connection

Structured records in the confirmed format or destination, with source references and collection timestamps where included in the specification. Historical observations, changed records, and replacement files follow the agreed update rules.

04

A collection and validation summary

A summary of collection coverage, checks performed, missing fields, duplicate handling, and known exceptions. Where a source could not be collected, the limitation is reported so an incomplete run is not mistaken for complete coverage.

05

Handover and maintenance details

Field definitions, delivery instructions, and the responsibilities needed to use the output. For recurring work or a custom system, the agreement identifies support scope, issue reporting, and how source changes are assessed.

DELIVERY PROCESS

Start with a Sample Before Expanding Collection

A five-stage delivery workflow designed to confirm feasibility, field definitions, and matching rules before executing at scale.

Delivery Process Illustration
01

Define the business need

Discuss what your team needs to decide or complete, the sources involved, the fields required, and the destination. Agree the coverage, frequency, and conditions that will make the output useful.

02

Assess the sources and access

Review representative pages, available APIs or exports, access arrangements, and source restrictions. We identify what is feasible and what needs clarification before committing to collection.

03

Collect and review a sample

Prepare a limited output and check it with your team. Confirm field meaning, missing values, matching rules, and how difficult cases should be handled before expanding the scope.

04

Clean and deliver the agreed data

Run the agreed collection, apply the defined formatting and validation rules, and deliver the output. Share the coverage summary and exceptions alongside the records.

05

Review ongoing needs

For recurring work, agree the schedule, monitoring, and support arrangements. Revisit the plan when sources change, coverage expands, or the output needs to reach a different system.

SOURCE ACCESS & DATA HANDLING

Agree the Collection Boundaries Before Work Starts

Clear and transparent assessment of permissions, source terms, privacy considerations, and storage requirements.

We assess publicly accessible or appropriately authorized sources for the agreed purpose. That review includes source terms, access permissions, relevant privacy and licensing requirements, and whether an API or licensed feed is a more suitable route.

Public visibility alone does not settle whether information can be collected or reused for your project. The discovery stage identifies restrictions and questions that need resolving before collection proceeds.

The project plan should state which information is needed, where it is stored, who can access it, and how long it is retained. If a source requires approved account access, arrange that separately through an agreed secure process. Do not send passwords, access tokens, or personal records through the enquiry form.

If a source is unavailable or restricts collection, we explain the limitation and discuss an authorized alternative or a narrower scope. We do not promise to bypass authentication, CAPTCHAs, or access restrictions.

WORKING WITH MOLTECH

From Website Data to the Software Your Team Uses

Collection is only part of the job. Your team may need records mapped to a catalog, checked against existing products, and delivered into a reporting database or business application. Moltech brings custom software, data preparation, and integration work into the same project discussion.

PRACTICAL INTEGRATION APPROACH

For example, a distributor could collect selected product observations, match them to its approved catalog, send uncertain matches to a review queue, and load reviewed records into an internal reporting system. That gives the team a defined path from source data to a usable comparison.

Agreed sources
Collection
Product matching and review
Reporting system

Illustrative workflow only: Agreed sources → Collection → Product matching and review → Reporting system. This is an example approach, not a completed client project or a promised result.

US & CANADIAN OPERATIONS

Working with Your US or Canadian Team

Moltech Solutions Inc. has its US office in Plano, Texas. For a project serving US or Canadian operations, we discuss your business hours, source markets, review responsibilities, and the destination for the data. Your proposal should make communication arrangements, the delivery schedule, and billing currency clear.

If the work involves both countries, keep USD and CAD observations identifiable and define how regional storefronts, units, taxes, shipping, and language affect the dataset. Share English and French source requirements or restrictions on where information may be stored before the scope is finalized.

FREQUENTLY ASKED QUESTIONS

Questions About Web Scraping and Data Extraction

Explore common questions about scope, feasibility, sample review, JavaScript pages, maintenance, and US/Canadian data handling.

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TailoredSolutions
QuickSupport
FAQ Questions and Answers
LET'S WORK TOGETHER

Tell Us What Data You Need and How You Will Use It?

Share the information your team currently collects, the sources involved, and what you want to do with the result. Moltech can help you explore whether a one-time dataset, recurring delivery, or a custom scraper is the right starting point.

Call us:+1-945-209-7691
Email:inquiry@mol-tech.us
Address:2000 N Central Expressway, Suite 220, Plano, TX 75074, United States
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