Web Scraping | Service

Jevon Eugene — Fri, 25 Apr 2025 09:24:37 +0000

Get Data Pulled from Websites or APIs — Clean and Ready to Use

Need to collect data from a website or online tool without spending hours copying and pasting? I can help you pull the exact information you need and deliver it in a clean, organized file that’s easy to work with.

Whether it’s products, pricing, listings, reviews, or any kind of content, I’ll make sure the data is accurate and ready to go in Excel, CSV, or Google Sheets.

What’s Included:

Data pulled directly from websites, web apps, or APIs
Custom filters for things like product types, locations, or date ranges
Clean files delivered in Excel, CSV, or Google Sheets
Option to have the data delivered to you on a regular schedule (daily, weekly, monthly)
Error handling and clearly labeled fields so you know exactly what you’re looking at

How It Works

1. Tell Me What You Need

We chat about what data you need and where it’s coming from.

2. I Send You a Sample

I pull a small sample of the data for you to check. You let me know if it’s what you want.

3. Final Delivery

Once everything looks good, I send you the final data and support you with any questions.

4. Ongoing Updates (Optional)

If you need it, I can deliver data updates (daily, weekly, monthly) or add new data points (columns) later.

Portfolio

Indeed.com Job Listings Scraping | Portfolio

Jevon Eugene for Portfolio ・ Apr 25

#webscraping #python #dataextraction #portfolio

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Pricing

One-Time Data Extraction

$0.01 per row per column

This covers the full setup and development to deliver your data. Whether it's a one-time pull or a custom dataset, you get a clean, structured file ready to use.

Example: If you need 100 rows with 5 columns of data, the total cost would be $5.

Ongoing Scheduled Scraping

$0.005 per row per column

Need the data updated daily, weekly, or monthly? I can automate regular updates for half the price per row/column.

Example: A monthly refresh of 100 rows × 5 columns = $2.5 per update.

Contact me

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Portfolio: https://dev.to/portfolio

Indeed.com Job Listings Scraping | Portfolio

Jevon Eugene — Fri, 25 Apr 2025 09:09:24 +0000

A. Overview

This service delivers job listing data from Indeed.com, tailored to specific roles, companies, and locations relevant to your needs.

Each dataset includes job title, company name, location, salary (when available), job type, and the full job description.

The final output is delivered in Excel, CSV, or other format.

What You Can Use This For:

1. Competitor Hiring Tracking:

Monitor which roles your competitors are actively hiring for, and how frequently.

2. Salary Benchmarking:

Identify what similar companies are offering for the same roles, by region or job level.

3. Role and Skill Trend Analysis:

Track how job requirements are changing over time, and which skills are showing up more often in listings.

4. Location Planning:

See where specific types of jobs are in high demand — useful for expanding into new cities or remote hiring.

5. Internal Reporting and Planning:

Support recruitment strategy, budgeting, or leadership updates with real, current data — not outdated industry summaries.

B. Parameters

I. Search & Filter Criteria

Parameter	Description	Example Value
`Job Title`	Specific role or position you want to collect data for.	Software Engineer, Marketing Analyst
`Company Name`	Limit results to one or more company names.	Apple, Accenture
`Location`	Filter jobs by city, state, ZIP code, or region.	New York, NY; San Francisco; 10001
`Keywords`	Additional words that must be present in listings.	remote, AWS, entry-level
`Date Posted`	Only collect jobs posted within a recent time frame.	Last 24 hours, Last 7 days
`Sort By`	Set how listings are ordered before scraping.	Date, Relevance

II. Job & Candidate Requirements

Parameter	Description	Example Value
`Job Type`	Defines the structure or type of work.	Full-time, Contract, Internship
`Experience Level`	Required years of experience.	Entry, Mid, Senior
`Education Level`	Minimum educational qualification listed.	High School, Bachelor, Master
`Encouraged to Apply`	Tags showing inclusion or specific applicant focus.	No Degree, Fair Chance, Military
`Skills / Tools`	Technical or soft skills mentioned in description.	Python, SQL, Excel, Communication

III. Compensation & Job Benefits

Parameter	Description	Example Value
`Salary` / `Pay`	Base salary, hourly rate, or pay range.	$70,000/year, $30/hr
`Bonus` / `Benefits`	Additional compensation elements if listed.	Signing Bonus, RSU, Stock Options

C. Commonly Extracted Data

I. Job

Attribute	Description	Example
`job_title`	Name of the job role	Data Analyst
`location`	Job location (city, state, zip)	City, State ZIP
`salary_range`	Salary range if available	$60,000 - $90,000
`description`	Full job description text	Text...
`post_url`	URL to the job posting	https://...
`date_posted`	Date the job was posted	2025-04-15
`response_time_days`	Days listed or approximate reply time	3
`benefits`	List of benefits	401(k), Tuition...

II. Company

Attribute	Description	Example
`company_name`	Name of the company	Company A
`company_url`	Indeed company profile URL	https://...
`rating`	Average company rating	3.8
`faq_url`	FAQ or help URL	https://...

D. Sample Results

Looking for Specific Job Listings?

Tell me what roles, companies, or locations you need — I’ll gather the data and send it in a clean, ready-to-use file.

DEV Community: Jevon Eugene

Web Scraping | Service

Get Data Pulled from Websites or APIs — Clean and Ready to Use

What’s Included:

How It Works

Portfolio

Indeed.com Job Listings Scraping | Portfolio

Jevon Eugene for Portfolio ・ Apr 25

View my other portfolio

Portfolio Follow

Pricing

One-Time Data Extraction

Ongoing Scheduled Scraping

Contact me

Jevon EugeneFollow

Indeed.com Job Listings Scraping | Portfolio

A. Overview

What You Can Use This For:

1. Competitor Hiring Tracking:

2. Salary Benchmarking:

3. Role and Skill Trend Analysis:

4. Location Planning:

5. Internal Reporting and Planning:

B. Parameters

I. Search & Filter Criteria

II. Job & Candidate Requirements

III. Compensation & Job Benefits

C. Commonly Extracted Data

I. Job

II. Company

D. Sample Results

Looking for Specific Job Listings?