You will get a Web scrapping tool
Project details
Python web scraping involves automating the process of extracting data from websites. This is done using Python libraries such as BeautifulSoup, Scrapy, and Requests, which enable developers to retrieve specific information from web pages. With Python's simplicity and flexibility, scraping tasks can be efficiently executed, allowing for the extraction of text, images, links, and other content. Web scraping finds application in various fields such as market research, competitive analysis, content aggregation, and data analysis. By leveraging Python's robust ecosystem of libraries and tools, developers can create sophisticated scraping scripts to gather large volumes of data from multiple sources. However, it's important to note that web scraping should be conducted ethically and in accordance with website terms of service to avoid legal issues. With its versatility and power, Python web scraping has become an invaluable tool for businesses, researchers, and developers alike, enabling them to access and utilize the vast amount of data available on the internet efficiently.
Data Tool
PythonWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 3 days
- Number of Pages Mined/Scraped 10
- Number of Sources Mined/Scraped 10
- Number of Revisions Unlimited
Optional add-ons
You can add these on the next page.
Fast 1 Day Delivery
+$50
Additional Page Mined/Scraped
(+ 1 Day)
+$10
Additional Source Mined/Scraped
+$10About Imtiaz
AI/LLM Developer
Lahore, Pakistan - 10:21 am local time
I built DigiWorks — an AI-powered video interview platform that automates
candidate screening using LLM integrations, video processing, and intelligent
scoring. It's live, processing real candidates, with real revenue.
What I bring to the table:
→ LLM Integration: OpenAI/Claude APIs for content generation, response
evaluation, and automated scoring pipelines
→ Video Systems: Browser-based recording, S3 multipart uploads, FFmpeg
compression (optimized 300MB files down to manageable sizes)
→ Search & AI: Elasticsearch with hybrid BM25 + vector embeddings for
intelligent matching
→ Data Pipelines: BigQuery, HubSpot sync, real-time dashboards
→ Cloud: AWS (SES, S3, Lambda), GCP, self-hosted infrastructure
Tech: Python, FastAPI, MySQL, Elasticsearch, React, AWS, GCP
I ship fast. I solve hard problems. Let's talk.
Steps for completing your project
After purchasing the project, send requirements so Imtiaz can start the project.
Delivery time starts when Imtiaz receives requirements from you.
Imtiaz works on your project following the steps below.
Revisions may occur after the delivery date.
Environment setup
Setup the environment to run the script so that web scrapping will start