You will get a custom data pipeline with API integration
Project details
Disconnected systems, spreadsheets, and manual data transfers slow down business operations and create unnecessary errors. I develop custom data pipelines that automatically collect, process, validate, and synchronize information between APIs, databases, spreadsheets, business applications, and external data sources.
Every solution starts by understanding how your data flows through the business. Depending on the project, I use official APIs, REST APIs, Python automation, browser automation, or custom web scraping to build the most practical and maintainable workflow.
Data can be automatically cleaned, standardized, deduplicated, transformed, and delivered into Google Sheets, Excel, PostgreSQL, Supabase, MySQL, CSV, JSON, or your existing system.
This service is ideal for SaaS companies, operations teams, agencies, e-commerce businesses, pricing intelligence, business reporting, CRM synchronization, recurring data collection, and workflow automation.
Whether you're connecting multiple systems or replacing manual processes with automated pipelines, the focus is always the same: accurate data, reliable automation, and long-term maintainability.
Every solution starts by understanding how your data flows through the business. Depending on the project, I use official APIs, REST APIs, Python automation, browser automation, or custom web scraping to build the most practical and maintainable workflow.
Data can be automatically cleaned, standardized, deduplicated, transformed, and delivered into Google Sheets, Excel, PostgreSQL, Supabase, MySQL, CSV, JSON, or your existing system.
This service is ideal for SaaS companies, operations teams, agencies, e-commerce businesses, pricing intelligence, business reporting, CRM synchronization, recurring data collection, and workflow automation.
Whether you're connecting multiple systems or replacing manual processes with automated pipelines, the focus is always the same: accurate data, reliable automation, and long-term maintainability.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$199
|
Standard
$499
|
Advanced
$899
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 9 days |
Number of Revisions | 1 | 2 | 2 |
Frequently asked questions
48 reviews
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BO
Benjamin O.
Jan 4, 2026
Developer for price data scraper and product monitoring tool
Did wonderful. I didn't really have the experience for the project i wanted but Sarmad helped me through it and delivered exactly what i wanted.
LM
Luciane M.
Jul 13, 2025
30 minute consultation
AK
Alexander K.
Oct 15, 2024
30 minute consultation
AS
Amit S.
Aug 26, 2024
Data entry front end application using PySimpleGUI
Sarmad is brilliant in communication, technical knowhow, turn around time, sticks to timelines. Highly recommended and will work again with the chap.
MC
Michelda C.
Aug 22, 2024
30 minute consultation
Sarmad is a very honest and transparent person. He was willing to answer any of my questions. He didn’t take advantage of the fact that I was inexperienced with data mining or scraping. He walked me through what was possible and what wasn’t. He even helped me determine another person on UpWork was not providing me with the right information.
About Sarmad
Python Web Scraping | Data Extraction, Automation & API Integration
100%
Job Success
Karachi, Pakistan - 10:55 pm local time
Most clients reach out after something has stopped working. A browser extension no longer collects the data they need. An AI tool handles simple pages but struggles with real-world requirements. A scraper breaks after a website update. Instead of jumping straight into development, I first understand the website, the business objective, and how the data will actually be used. Sometimes an official API is the right answer. Sometimes browser automation makes more sense. Sometimes custom data scraping with Python is the only dependable option. Choosing the right approach at the beginning saves unnecessary maintenance, cost, and frustration later.
My work has included recurring product monitoring, competitor monitoring, audit pricing systems, Google Sheets integrations, Amazon catalog extraction, LinkedIn data collection, Indeed job extraction, marketplace scraping, business directory data harvesting, and custom data pipelines. Although every engagement is different, the objective remains the same: deliver accurate, structured data that continues creating value long after development is complete.
Depending on the website and its architecture, I work with Python, Scrapy, Selenium, Playwright, BeautifulSoup, browser automation, REST APIs, and official source APIs, selecting the tools that provide the most stable long-term result instead of forcing a single technology into every project. If an official API such as Google Places API or Yelp API is available, I'll recommend using it first because it's often faster, more stable, and easier to maintain than web scraping.
Collecting data is only the first step. Before anything reaches your spreadsheet, database, or application, it's validated, cleaned, standardized, and deduplicated so your team works with usable information instead of raw exports. Whether you need a one-time extraction or scheduled web scraping that runs daily, weekly, or on demand, the workflow is designed to automate repetitive tasks and deliver consistent data into Google Sheets, Excel, CSV, PostgreSQL, Supabase, MySQL, another database, or your existing application through API integration.
Many of the systems I develop work with dynamic websites, authenticated sessions, JavaScript-heavy pages, pagination, browser events, request throttling, Cloudflare, reCAPTCHA, and similar anti-bot challenges. I don't treat these as obstacles to bypass with shortcuts. They're engineering challenges that require thoughtful architecture, careful implementation, and solutions that remain maintainable as websites evolve.
When the workflow requires more than structured data, I can also integrate OpenAI API and other LLM APIs to classify records, summarize content, identify patterns, and generate business insights from the collected information. AI becomes an additional layer of value after a dependable data pipeline is in place, not a replacement for one.
Today I maintain a 100% Job Success Score, have completed 66 successful projects, and earned $10K+ on Upwork. Clients consistently highlight my communication, technical problem-solving, reliability, and willingness to recommend the approach that makes the most sense for their goals, even when that means using an official API instead of web scraping.
If you're planning a project, send me the website or platform, the data you need, how often it should be updated, and where you'd like it delivered. I'll recommend the most practical approach and develop a solution designed for long-term reliability, maintainability, and real business use rather than just a quick script.
Steps for completing your project
After purchasing the project, send requirements so Sarmad can start the project.
Delivery time starts when Sarmad receives requirements from you.
Sarmad works on your project following the steps below.
Revisions may occur after the delivery date.
Review source, official APIs, and business requirements
Review the workflow, APIs, databases, and business requirements to recommend and implement the efficient architecture.
Integrate APIs to automate data pipelines
Develop, integrate, test, validate, document, and deliver the complete automated data pipeline.