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Freelance Data Scrapers Ready To Work
Ready to work with the best? Find your freelance data scrapers match on Pangaea X
How Data Scraping Projects Turned into Success Stories
Laura Pardoe

I hired a data analyst from Pangaea X to analyze and prepare a furnished report for the year. Amazing results!!! On time and very professional service. I’ll be hiring more often.

Laura Pardoe
Grow Agency
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Data Scraping Case Studies
Here are some Data Scraping projects that our freelancers are bidding on
Furniture Shop
11 April 2022
NMP Groups
11 April 2022
Real Estate
11 April 2022
Marketing agency
11 April 2022
Real estate brokerage firm
6 May 2022
Data Scraping
Frequently Asked Questions
How to hire data scrapers?
To hire data scrapers, you can either use freelance platforms to find individual specialists for short-term projects, or choose data scraping service companies for complex or ongoing needs. In either case, prioritise experience with similar data sources, technical skills for the target website, ethical practices, and competitive quotes.
How to shortlist data scraping professionals?
Shortlist data scraping professionals by prioritising experience with similar websites/data (e.g., "e-commerce scraping"), evaluating their technical skills in relevant tools (including a sample challenge), ensuring their understanding of ethical practices (robots.txt, data privacy), and gauging their communication style during interviews/reviews. This combination helps you identify professionals with the right experience, skills, ethics, and communication for your project's success.
Why hire data scrapers?
Data scrapers offer several advantages: they efficiently collect large amounts of online data, saving you time and effort. This data can be used for market research, competitor analysis, price tracking, or lead generation. By automating the scraping process, data scrapers free up your resources for more strategic tasks, ultimately helping you make data-driven decisions to optimise your business.
How much does it cost to hire a data scraper?
The cost of hiring a data scraper varies depending on project complexity. Simple website scraping with a one-time data grab might cost $80-$600 for setup and $200-$400 for maintenance. Complex projects involving frequent scraping or intricate website structures can reach $1600+ for setup and $800-$1600+ for ongoing maintenance. Freelancers typically charge hourly rates ($30-$100+), with location impacting the price. It's important to compare quotes and consider both upfront and maintenance costs to find the best fit for your budget.
How to write an effective data scraping job post?
To write an effective data scraping job post, clearly outline the target website and data points you need. Mention the desired output format (e.g., CSV, JSON) and scraping frequency. Briefly describe the project's purpose (e.g., market research) to attract relevant candidates. Emphasise ethical scraping practices and legal compliance. State your budget range and desired skills (e.g., Python, data extraction libraries). This targeted approach will attract qualified data scrapers who can deliver the results you need.
How Data Scraping Will Benefit The Business

Data scraping can be a game-changer for businesses by providing a wealth of information to fuel better decision-making.Here’s how:

  • Market Research: Scrape data on industry trends, competitor analysis, and customer demographics to gain a deeper understanding of your market landscape.
  • Lead Generation: Extract contact details from websites or social media to build targeted marketing lists and boost sales efforts.
  • Price Optimization: Track competitor pricing strategies and adjust your own prices accordingly to stay competitive and maximise profits.
  • Brand Monitoring: Scrape social media and review sites to track brand sentiment, identify areas for improvement, and respond to customer feedback effectively.
  • Data-Driven Decisions: By collecting and analysing vast amounts of data, businesses can make informed choices on product development, marketing campaigns, and resource allocation.

How Pangaea X will benefit you in the Businesses

  • Improved Efficiency: Pangaea X focuses on outsourcing data entry tasks, freeing up your employees’ time to focus on core business activities like marketing, finance, and operations. This can lead to increased productivity and cost savings.
  • Enhanced Data Analysis Capabilities: They seem to specialize in data analytics, which can be especially valuable if your business lacks the internal expertise or resources to fully utilize your data. Pangaea X can help you gain insights from your data to improve decision-making across various departments.
  • Targeted Marketing & Sales: By leveraging data analysis, Pangaea X can potentially help you identify customer segments and tailor your marketing and sales strategies for better results. This could involve targeted advertising campaigns or personalized product recommendations.
  • Focus on Business Needs: Pangaea X positions itself as a partner throughout the data outsourcing journey. This can be helpful if you don’t have the time or expertise to manage the entire process yourself. They can help with tasks like finding qualified freelancers, facilitating payments, and resolving any issues that may arise.

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