You will get a clean Google Places business dataset in Excel
Project details
You will get a clean, structured business dataset delivered in Excel, built from APIs or public data sources such as Google Places, Census data, directories, or other structured sources.
I specialize in Python automation, API integration, data cleaning, deduplication, and Excel reporting. I can help you collect local business data, normalize messy fields, remove duplicates, filter irrelevant results, classify records, and turn raw data into a usable spreadsheet.
Depending on the package, I can deliver a simple business list, a multi-location dataset, or a market-analysis report with radius counts, categories, maps links, and QA notes.
The final output will be generated by code, not manual copy-paste, so the process is more consistent, repeatable, and easier to adjust if you need more locations or business categories later.
I specialize in Python automation, API integration, data cleaning, deduplication, and Excel reporting. I can help you collect local business data, normalize messy fields, remove duplicates, filter irrelevant results, classify records, and turn raw data into a usable spreadsheet.
Depending on the package, I can deliver a simple business list, a multi-location dataset, or a market-analysis report with radius counts, categories, maps links, and QA notes.
The final output will be generated by code, not manual copy-paste, so the process is more consistent, repeatable, and easier to adjust if you need more locations or business categories later.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$60
|
Standard
$150
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Pages Mined/Scraped | 100 | 500 | 1000 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Number of Revisions | 1 | 2 | 2 |
Optional add-ons
You can add these on the next page.
Reusable Python code package
(+ 3 Days)
+$120Frequently asked questions
About Cai
Python Automation Developer | APIs, Web Scraping, Sheets & AI Agents
Shanghai, China - 8:00 am local time
I am a good fit if you need a reliable script or workflow that can:
* collect data from APIs, websites, JSON, CSV, Excel, or structured sources
* clean, validate, deduplicate, and transform business data
* build Google Places API / local business datasets
* create market research or competitor analysis spreadsheets
* automate repetitive reporting tasks
* connect Python scripts with Google Sheets or databases
* deliver clean Excel workbooks with clear columns and QA notes
Recent project example:
I built a Python pipeline for a US market-analysis dataset using Census ACS data, TIGER/Line boundaries, and Google Places API. The workflow handled city filtering, place_id deduplication, result-cap control, non-gym filtering, geospatial 5-mile / 15-mile distance counts, inside-city boundary counts, classification, and automated Excel export.
Project types I can help with:
* Google Places API business data collection
* local business / competitor datasets
* API data export and automated CSV reports
* CSV / Excel cleaning and deduplication scripts
* web scraping and structured data extraction
* Google Sheets automation
* bulk file processing and format conversion
* lightweight Python automation tools
For each project, I focus on practical delivery:
* clean and readable Python code
* clear setup and run instructions when code is included
* clean Excel / CSV output
* basic validation before delivery
* transparent notes about edge cases and limitations
* support for small fixes after delivery
My background is in signal processing and machine learning, so I am comfortable working with technical data, APIs, scripts, experiments, and structured workflows. I prefer simple, reliable solutions over over-engineered systems.
Steps for completing your project
After purchasing the project, send requirements so Cai can start the project.
Delivery time starts when Cai receives requirements from you.
Cai works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Requirements review
I review your target locations, business category, keywords, required fields, and output format.
Step 2: Data source setup
I confirm the best data source, such as Google Places API, public APIs, directories, CSV/Excel files, or provided websites.