Python Automation Masters

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Overview

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2019

Year Founded

ABOUT PYTHON AUTOMATION MASTERS

Focusing on scraping data using Python

We specialize in data scraping using Python, with over three years of experience in the field. We have created highly efficient drop-shipping systems for platforms like Walmart and Amazon, and have scraped data from maps and various secure websites. Our expertise includes working with Python, PostgreSQL, and Redis, and we deploy solutions on Linux servers, including AWS.

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HIGHLIGHTS

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2019

Year Founded

Services

Focus

Industries

Clients

Services Provided

25% API Development & Integration

50% Backend Development

25% Custom Web Application Development

Portfolio

Compiling Contact Information of TV Series Creator

Unknown

**Data Extraction/ETL** Web Scraping, Python, GPT-4 API, JSON, Web Scraping Tools, Data Scraping, Web Crawler, Lead Generation, Airtable Task The client sought a method to gather detailed information about Original TV Series—such as titles, ratings, duration, and genre—from designated streaming services (Netflix, AppleTV+, HBO Max, Disney+, Hulu, Paramount+, Peacock). A key requirement was to collect the contact details of the creators and representatives of these Original TV Series from IMDB Pro and organize this information within Airtable. **Challenge** The main challenge was to identify Original Series—content created exclusively for specific streaming platforms that is not available elsewhere. Additionally, the task involved arranging the data in Airtable in a structured three-tier system: series, writers, and their representatives, facilitating user-friendly access and navigation. The differing titles of the same series across platforms like Rotten Tomato and IMDB Pro added another layer of complexity, necessitating advanced title-matching capabilities. **Solution** To create a cost-effective and efficient solution, we devised a strategy that eliminated the need to search each platform individually. We compiled a complete list of series from the ReelGood site and then leveraged the GPT-4 API to filter for Original Series exclusively. To address title variations, we enhanced our code to accurately recognize and match different titles across platforms, achieving a 95% match rate for all ratings. **Result** The tailored solution was successfully implemented, yielding an organized and user-friendly database of over 600 Original series and 900 distinct writer contacts in Airtable. This tool met the client’s requirements effectively and provided an intuitive and efficient means of accessing and understanding the data, optimizing their processes for lead generation and contacting TV series creators.

Instagram Data Analysis Tool

Unknown

**Tech Stack:** Web Scraping, Python, Instagram, AWS, S3 bucket, PostgreSQL, Lambda, Instagrapi, Pydantic, SQLAlchemy, requests, HikerAPI, Web Scraping Software, Python Script, Data Scraping, Web Crawler, Contact Information Data. **Task:** Created a sophisticated data extraction tool for Instagram that collects extensive data such as posts, followers, likes, comments, profile details, avatars, stories, and interaction profiles. This data is then cleaned, organized, deduplicated, transformed, and stored in a PostgreSQL database hosted on AWS. Additionally, images or videos from posts must be stored in an S3 bucket. The tool conducts daily scans to identify any changes in profiles and posts, effectively handling large volumes of data. **Challenge:** The main challenge involved extracting followers from profiles with millions of followers. Manually scrolling through followers only reveals about 50 at a time on Instagram. Detecting changes in data was also quite complex. Moreover, the database structure needed to be designed to ensure clarity for non-specialists. Another requirement was to achieve rapid data extraction, with the target of processing around 2 million profiles in 2-3 days. **Solution:** To address these challenges with a cost-effective and fast approach, we devised a strategy that captured all necessary data. We configured a resource-efficient server and database and executed over 40 functions concurrently. We also utilized HikerAPI to obtain followers and those who liked or commented on posts. **Result:** Successfully implemented a custom solution that provided the client with a well-organized database of over 10 million records and approximately 2 million unique Instagram accounts within PostgreSQL. This system assists the client in data analysis, forecasting human behavior, and creating tables and charts.

Projects & Clients

Project Size & Rate

Minimum Project Size

$10,000+

Average Hourly Rate

$50 - $99/hr

Pricing Snapshot

Min Project Size

$10,000+

Avg Hourly Rate

$50 - $99/hr

Cost Rating

N/A

What Clients Have Said

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"Python Automation Masters delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

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API Development & Integration

Backend Development

Custom Web Application Development

Locations

Headquarters

Chmieleniec, 14/40

Krakow, Lesser Poland, Poland 30-348

+385699888188

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