Data Scraping Salary

Data Scraping Salary

How much does the Data Scraping Pay for employees?

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As of July 2026, the average annual salary for employees at Data Scraping in the United States is $97,253. This translates to an approximate hourly wage of $47. Salaries at Data Scraping typically range from $85,670 to $109,757 annually, reflecting the diverse roles and experience levels within the company. Data Scraping’s salaries are influenced by a wide range of factors including job role, department, years of experience, and location.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
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Current Job Openings at Data Scraping

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Is Data Scraping’s Pay Competitive? Salary Benchmarking Analysis

How does Data Scraping’s compensation stack up against the market? This analysis visualizes their annual average salary compared to its industry benchmark and key peer companies.
Peer Company & Industry Benchmarking
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Average Salary ($/year)
Data Scraping
Software & Networking
Worlds Mall Inc
Faith eCommerce Services
Industry Comparison
Our data shows that, on average, compensation at Data Scraping is below the average for the U.S. Software & Networking industry by approximately 23%. This positioning suggests their pay is below the market average within their sector.
Peer Company Comparison
To provide a broader market perspective, we compared Data Scraping average annual salary with several similar companies. Data Scraping average salary of $97,253 is lower than Worlds Mall Inc, which has an average salary of $98,571. It is higher than Faith eCommerce Services, with their average salary at $88,582. This places Data Scraping in a mid-range position among its peers.
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How Data Scraping's Salaries Compare to Similar Companies?

Explore companies in the same industry to compare average salaries, benefits, and career opportunities with those at Data Scraping. Click a company name to learn more.

Employee Reviews: Working at Data Scraping

Considering a career at Data Scraping? Explore authentic employee reviews to learn about the work environment, career growth opportunities, pay transparency and benefits. These first-hand insights can help you set realistic compensation expectations and make informed career decisions.
The benefits are above average, and there’s a strong emphasis on teamwork. Benefits are standard, and the job security is a plus. Benefits are standard, but the work environment is pleasant. The training programs are well-structured, helping new hires adapt quickly. Colleagues are cooperative, and shifts are scheduled fairly.
Commented in April 13, 2025
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One of the best companies I’ve worked for in retail. The benefits package is competitive, including health insurance and performance bonuses. Colleagues are friendly, and the office environment is functional. The work culture is positive, making every day enjoyable. I’ve had a positive experience and appreciate the work-life balance.
Commented in September 21, 2024
37
1
Leadership is transparent about company goals, and there’s a strong emphasis on professional development. It’s a standard retail job with reasonable expectations. Even in retail locations, scheduling is fair. The company provides fair compensation. Regular team events keep morale high. The office culture is inclusive, and diversity is celebrated. The company values feedback and makes improvements ...
Commented in August 02, 2024
33
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The company has a great culture and values teamwork. Would recommend to anyone looking for stability in wholesale/retail. There’s room for improvement in terms of perks, but the basics like health coverage and paid time off are covered. Supportive leadership and clear goals.
Commented in February 10, 2024
39
3

Data Scraping Overview

Website
Data pending, update soon.
Founded In
Data pending, update soon.
Employees
25 - 50 employees
Industry
Software & Networking
Headquarter Address
Hazelhurst Houston Dr Houston Texas TX 77043
Revenue
$5 Million - $10 Million
Phone Number
+1 2818990267
Social Media
About Data Scraping
3i Data Scraping is the Leading Web Data Scraping Services Provider Company in the USA. The Core Objective of Providing Web Data Scraping, Data Extraction Services, Developing Web Crawlers, Mobile App Scraping, Web Scraping API, Data Mining, and Web Scraper Pagination. We have a team of committed and dedicated professionals with a distinctive combination of creativity, strategy, and technology. 3i

What Benefits Does Data Scraping Offer Beyond Salary?

A competitive compensation package is more than just a salary. Data Scraping offers a comprehensive benefits package designed to support your health, financial future, and overall well-being. Below are the most common key benefits:
Social Security
401(K)
Disability
Healthcare
Pension
Time Off (days)
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What Is the Cost of Living Near Houston?

Understanding the cost of living near Houston is key to truly evaluating a salary offer or your current compensation at Data Scraping.
Houston's Cost of Living Index is approximately 98.5 (1.5% less expensive than US average; 5.9% more than TX average). Major city, energy/medical hub, housing generally affordable for size, but varies. METRO bus/rail. When planning your budget based on a salary from Data Scraping, consider these typical monthly expenses:
Expense Category Estimated Monthly Cost Key Considerations / Notes
Housing (1-BR Apt Rent) $1,200 - $1,800+ A significant portion of Data Scraping salary. Location choices impact this heavily.
Utilities (Basic) $150 - $250 (High AC use) Electricity, Heating, Cooling, Water etc.
Public Transportation $40 (METRO Q Card monthly) Essential for most commuters; car ownership is costly.
Groceries (Single Person) $400 - $590 Can be higher with more dining out or specialty stores.
Personal & Leisure $400 - $750+ Dining out, entertainment, shopping. Highly variable.
Healthcare (Individual) $380 - $700+ Varies significantly by plan & employer contribution.
Subtotal (Excluding Taxes) $2,570 - $4,090+ This subtotal does not include income taxes (federal, state, local), which can significantly impact your take-home pay.

FAQs of Data Scraping

1. What is the average salary for employees at Data Scraping?

The average annual total compensation for employees at Data Scraping is approximately $97,253. However, this is an aggregate figure, actual salaries can range significantly, typically from $85,670 to $109,757, depending on factors like job role, experience, and location.

2. How much does Data Scraping pay compared to Worlds Mall Inc?

The average annual salary at Data Scraping is $97,253, or an hourly wage of $47, in comparison to Worlds Mall Inc which pays $98,571 per year or $47 per hour.

3. How does having a professional certification impact salary for relevant roles at Data Scraping?

Professional certifications like PMP (for Project Managers), CPA (for Accountants), or another relevant certification for the industry can often lead to higher salaries and better job prospects at Data Scraping for applicable roles. Certifications demonstrate a verified level of expertise and commitment to a profession, making candidates more competitive.

4. Does Data Scraping offer cost-of-living adjustments (COLA) for employees in high-cost areas like Houston?

While some companies offer formal COLA, many, including potentially Data Scraping, incorporate cost of living considerations into their overall salary structure for different locations rather than as a separate, itemized adjustment. This means their base pay bands for roles in high-cost cities like New York City are generally set higher to account for these local market factors.

5. What's the typical process for salary reviews and raises at Data Scraping?

Most companies, likely including Data Scraping, conduct formal salary reviews annually, often tied to performance evaluations. During these reviews, factors like individual performance, meeting goals, company performance, and market adjustments are typically considered for potential salary increases.

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