You will get High-accuracy batch geocoding using multiple sources + confidence score
Top Rated

Project details
I will build a reliable batch geocoding pipeline to convert your address list into clean, structured coordinates (latitude/longitude) with a confidence score and quality checks. This is more than a simple API lookup: I first clean and normalize addresses, remove duplicates, and then geocode using a multi-source matching approach when needed to improve match quality.
What sets this project apart
Address cleaning + standardization before geocoding (better matches, fewer errors)
Confidence scoring so you can filter “high certainty” vs “needs review” rows
QA checks: duplicates removed, missing fields flagged, and summary stats provided
Clear deliverables: a ready-to-use CSV/Excel/Sheets output + a short QA report
Deliverables
Output file with lat/long, confidence score, source, and notes (if any)
A short QA summary (match rate, low-confidence count, missing data flags)
Optional: Google Sheets/Airtable delivery or custom normalization rules (add-ons)
Results depend on input data quality and the chosen provider(s), but I always provide transparent scoring and a clean, usable dataset.
What sets this project apart
Address cleaning + standardization before geocoding (better matches, fewer errors)
Confidence scoring so you can filter “high certainty” vs “needs review” rows
QA checks: duplicates removed, missing fields flagged, and summary stats provided
Clear deliverables: a ready-to-use CSV/Excel/Sheets output + a short QA report
Deliverables
Output file with lat/long, confidence score, source, and notes (if any)
A short QA summary (match rate, low-confidence count, missing data flags)
Optional: Google Sheets/Airtable delivery or custom normalization rules (add-ons)
Results depend on input data quality and the chosen provider(s), but I always provide transparent scoring and a clean, usable dataset.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$19
|
Standard
$49
|
Advanced
$79
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Pages Mined/Scraped | 1000 | 10000 | 50000 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Number of Revisions | 0 | 0 | 0 |
Optional add-ons
You can add these on the next page.
Extra 10k addresses
(+ 1 Day)
+$29
Google Sheets/Airtable delivery
(+ 1 Day)
+$10Frequently asked questions
14 reviews
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BJ
Bryson J.
Mar 11, 2026
Python Web Scraper Engineer Needed
Enis did multiple Web Scraping work for us and was exceptionally fast and delivered high quality work
SM
Sandeep M.
Feb 6, 2026
Web Scraping Expert Needed for Python and MSSQL Project
Thanks and Great work. completed job on time.
AT
Anna T.
Feb 5, 2026
Amazon crawl (screenshots) - 2 days turnaround
Quick result, attentive to details
FW
Francis W.
Jan 31, 2026
Scrape names and addresses of vet practices from websites
Enis is a true professional. He got to work almost immediately and understood my needs completely. He delivered my first set of milestones within a day and went above and beyond. He made suggestions to improve the scope of work and beyond scraping designed a whole new searchable map interface for me in Leaflet. I was so impressed I added a few more milestones and look forward to working with him again in the future. Very highly recommended!
AA
Afnan A.
Jan 24, 2026
Student portal
Excellent experience working with Enis. He was proactive, detail-oriented, and easy to communicate with
About Enis
Senior Python Developer | Backend APIs, Automation & Data Extraction
100%
Job Success
Istanbul, Turkey - 6:03 am local time
With 9+ years of experience in software engineering, I specialize in building robust backend architectures and custom automation scripts that save businesses time and resources. Whether you need a high-performance API or a system to process millions of data points, I deliver clean, maintainable, and enterprise-grade code.
How I Can Help You:
🚀 Backend Development & APIs I build secure and scalable RESTful APIs using Django and FastAPI. From database design (PostgreSQL) to deployment (AWS/Docker), I handle the entire lifecycle of your web application's engine.
⚙️ Automation & Data Extraction Stop doing repetitive tasks. I develop custom Python scripts to:
Scrape and structure public data from complex websites (Selenium, Playwright).
Automate file processing, reporting, and CRM updates.
Integrate third-party APIs (Stripe, OpenAI, Google Maps) into your workflow.
🌍 Geospatial (GIS) & Advanced Logic Unlike standard developers, I have deep expertise in handling complex spatial data and algorithms (PostGIS, GeoDjango, OpenLayers). If your project involves maps, location intelligence, or heavy data processing, I am the right expert.
My Tech Stack:
Languages: Python (Expert), JavaScript, Golang, SQL.
Frameworks: Django, Django REST Framework (DRF), FastAPI, Flask.
Data & Tools: PostgreSQL, Redis, Docker, Celery, AWS, Git.
Automation: Playwright, BeautifulSoup, Scrapy, Pandas.
I focus on communication and long-term reliability. Let’s discuss how we can optimize your backend infrastructure.
Steps for completing your project
After purchasing the project, send requirements so Enis can start the project.
Delivery time starts when Enis receives requirements from you.
Enis works on your project following the steps below.
Revisions may occur after the delivery date.
input & define output
Check your file, confirm countries, required columns, and output format (CSV/Excel/Sheets). Identify missing fields and normalization needs.
Batch geocoding + match scoring
Run batch geocoding at scale, apply multi-source matching if needed, and generate confidence scores and notes for low-confidence rows.

