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    Automate Ecommerce Data Extraction Process Without Coding

    Illustration of Automated e-commerce data extraction with Pline no-code tool.

    Ecommerce managers can develop efficient strategies by analyzing competitor websites for insights on pricing, promotions, and product offerings. Yet, this process often requires complex coding and dedicated time allocation, making it difficult to establish efficient processes.

    Many Ecommerce managers resort to outsourcing the data extraction process to address this challenge. However, a more effective solution exists: Pline’s automated workflows that instantly extract data without coding.

    Why is an Efficient Ecommerce Data Extraction Process Necessary?

    At the heart of every successful Ecommerce business lies a well-organized system. That is developed using real-time data to:

    • Streamline operations.
    • Automate repetitive tasks.
    • Ensure that each part of the operation is in sync.
    Streamline processes, automate tasks, and sync operations with Pline for improved efficiency.

    However, creating an efficient process requires more time and expertise than many Ecommerce managers anticipate. As a result, many turn to outsourcing through freelancing platforms. While this can provide support, it introduces new challenges.

    The Hidden Problems with Outsourcing Data Extraction Process

    Outsourcing to freelancing sites to develop an efficient data extraction process for your Ecommerce needs may seem the most logical way. Still, it’s crucial to understand that once you’re locked with a freelancer, you’re often stuck and unable to make even minor adjustments without going through them.

    This dependency limits flexibility and causes delays if the freelancer is unavailable or unresponsive. There are also additional hidden factors to consider:

    • Communication delays due to time zone differences.
    • Lack of business-specific knowledge or context.
    • Inconsistent quality from freelancers with varying expertise.
    • Limited accountability in project management and delivery.
    • Hidden costs of revisions and project extensions.
    Outsourcing adds delay in data extraction; automation delivers instantly, removing communication, quality, and cost challenges

    With Pline, you don’t have to settle for broken promises or lose control.

    Your business.Your data needs.Your process.

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    Data extraction so easy, you’ll forget what coding is.
    Just point, click and collect!

    Pline: Simplifying Process for Efficient Ecommerce Web Data Extraction

    Pline is a web extension that works seamlessly on any Chromium browser, eliminating the need to switch between apps with an intuitive visual editor for easy web data extraction. At the core, Pline offers :

    Two types of workflows:

    Two extraction modes:

    Efficient workflow with Pline: Prebuilt and custom workflows combined with automated and browse-and-capture extraction modes

    With Pline’s new built-in features like Team Collaboration, web data extraction is now more streamlined, efficient, and adaptable to any Ecommerce workflow need. To better demonstrate how Pline provides users greater control over their data operations, we compared it with Outsourcing.

    Outsourcing Data Extraction Process Vs. Pline 

    In our evaluation of 100 top-rated data extraction freelancers from Upwork and Fiverr, we compared their services with Pline. Below is a detailed comparison of key components, including:

    • Cost Efficiency
    • Speed and Delivery
    • Ease of Use
    • Scalability and Customization

    This comparison aims to encourage an informed decision on the most suitable option for data extraction needs.

    1. Cost Efficiency 

    CategoryPlineUpwork Freelancers Fiverr Freelancers
    Initial CostFree~$15/hr (average rate)~$30 per gig (average price)
    Free Option Available YesNoYes (some gigs)
    Pay as you use Pricing Yes (Monthly/Annual Plans)No (hourly rates)No (fixed gig prices)
    Cost PredictabilityHigh (Fixed Monthly/Annual Plans )Low (Varies by freelancer rates)Medium (fixed price but varies by gig)

    2. Speed and Delivery Time 

    CategoryPlineUpwork FreelancersFiverr Freelancers
    Response TimeInstant86% respond within 24 hrs55.5% deliver within 1 day, 33.3% within 2 days
    Average Delivery TimeInstant to a few minutes1 day to weeks2 days to weeks
    Activation TimeLess than 5 minutesHours to days, depending on the complexity of the project1-2 days, depending on gig complexity
    ConsistencyVery HighMedium (depends on freelancer availability)Medium (depends on seller reliability)

    3. Ease of use 

    CategoryPlineUpwork FreelancersFiverr Freelancers
    Ease of SetupEasy ( Less than 5 minutes)Medium (depends on the project)Easy (simple gig selection)
    Reusability SpeedInstant Medium (depends on the freelancer’s instructions)Medium (depends on the freelancer’s instructions)
    Coding Knowledge RequiredNone Yes (depends on the project)Yes (depends on the gig)
    Learning CurveVery Low (user-friendly)Medium (depends on the freelancer’s instructions)Low (straightforward gig-based workflow)
    SupportOngoing (help documents & FAQs)Varies (depends on the freelancer’s communication)Limited (depends on the seller’s response)

    4. Scalability and Customization

    CategoryPlineUpwork FreelancersFiverr Freelancers
    Automation for ScalingFully automated, no extra costManual intervention is required for scalingManual intervention is required for scaling
    Consistency Over TimeVery High (automation removes human error)Medium (depends on freelancer consistency)Medium (depends on gig availability)
    Full Control Over DataYes (adjust extraction settings)Limited (depends on the freelancer’s work process)Limited (depends on gig restrictions)
    Custom Workflow Available Yes (adapts to any website)Yes (depending on the freelancer’s expertise)No (limited to the gig’s predefined setup)

    Get Started

    Pline makes data extraction  simple and easy to follow with just a few straightforward steps:

    A screenshot of an e-commerce search results page for shoes with the Pline data extraction tool overlay, highlighting automated extraction options.
    • Click Build Workflow, choose Grid, and group similar items, such as product_title, to help Pline recognize patterns.
     A screenshot of an e-commerce search results page with the Pline data extraction tool prompting the user to select the page type. The "Grid" option is highlighted, indicating that the results are displayed in a grid format.

    To extract details from product pages, set product_title as Get Link; otherwise, choose Get Text. For this example, select Get Link.

    A screenshot of an e-commerce search results page with the Pline data extraction tool selecting the data type for product links. The "Get link" option is checked, and "product_title" is being set as the attribute.
    • Set up Pagination by choosing Next Button, as Amazon typically loads more listings this way. Locate and select the Next Button.
    A screenshot of an e-commerce search results page showing shoe listings, with the Pline data extraction tool selecting pagination type. The "Next button" option is highlighted.
    • Choose the fields to extract (e.g., product_name, price, ratings), assign field names, and save.
    A screenshot of a product detail page for a shoe, with the Pline data extraction tool selecting fields like product name, price, and ratings for structured data extraction. The "Next" button is highlighted.
    • Preview the sample data, enter the workflow name, then click Save Workflow.
    A screenshot of a product detail page on an e-commerce website, with the Pline data extraction tool displaying a "Save workflow" prompt. The extracted sample data includes product title, name, price, and ratings, with the "Save workflow" button highlighted.
    • Click Use Workflow Now, name your dataset, set a limit (e.g, 100 records), and start extraction.
    A screenshot of an e-commerce search results page with the Pline data extraction tool displaying a "Create Dataset" prompt. The extracted records are being stored under the workflow "Product_data," with options to create a new dataset or add to an existing one. The extraction limit is set to 100 records, and the "Create dataset" button is highlighted.

    The exact process applies to other similar websites with slight adjustmentsOnce Pline completes data extraction, export it for further analysis.

    For detailed tutorials on Pline’s powerful features, please refer to the official documentation.

    Conclusion 

    Pline redefines data extraction with a no-code, automated solution that delivers unmatched speed, consistency, and scalability. With it, you can take control of your data extraction processes, reduce costs, and easily make smarter business decisions. 

    Try Pline Today.

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    Data extraction so easy, you’ll forget what coding is.
    Just point, click and collect!

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