Optimize High-Recall Indeed Job Scraper (Python, Multithreading)

@AliGhazanfar2

Hi there, I have reviewed your requirements and believe that my expertise aligns perfectly with them. It seems like something we can easily accomplish Please check my profile to learn about my expertise: https://www.freelancer.com/u/AliGhazanfar2 Looking forward to the opportunity to work together. Regards Ali

@ShekharTyagi345

With 8 years of experience in Python development, I am confident that I am the best fit to optimize the High-Recall Indeed Job Scraper script. I have the relevant skills and expertise to enhance the speed of the script without compromising its accuracy. How I will be completing this project: - Implement multithreading or multiprocessing to parallelize ZIP-level and/or page-level requests - Maintain the current adaptive radius and job-type split logic - Support proxy rotation if needed - Preserve deduplication and error handling - Stream results to CSV shards or a single output file for efficiency What tech stack I will be following: - Python for scripting - Multithreading or multiprocessing for optimization - External libraries for proxy rotation if required Having worked on similar solutions in the past, I understand the importance of scalability and speed in job scraping. My goal is to ensure that the script can handle job listings from all states and ZIP codes efficiently. I am committed to delivering a high-quality, optimized solution that meets your requirements.

@namitajain118

With 7 years of experience in Python development, I am the best fit to optimize the Indeed Job Scraper script. I have the relevant skills and expertise to meet your requirements efficiently. How I will be completing this project: - Implement multithreading or multiprocessing to parallelize ZIP-level and/or page-level requests - Maintain the current adaptive radius and job-type split logic - Support proxy rotation if needed - Preserve deduplication and error handling - Stream results to CSV shards or a single output file What tech stack I will be following: - Python - Multithreading - Pandas - Requests I have worked on similar solutions in the past, ensuring successful optimization. Trust me to deliver a scalable and efficient job scraper tailored to your needs. Let's discuss further details once we finalize.

@HASEEB1803

I understand you already have a solid Indeed scraper that works correctly but needs optimization for speed and scalability. I can help optimize your Python script by: Implementing multithreading / multiprocessing for ZIP- and page-level parallelization Adding proxy rotation support for reliability (optional if needed later) Preserving your adaptive radius and job-type split logic Maintaining deduplication and error handling Streaming results efficiently into CSV shards or a single output file for large-scale runs I have strong experience in Python, data scraping, and performance optimization, so I’ll ensure the script scales seamlessly across all US ZIP codes without losing accuracy. Looking forward to collaborating and making your scraper production-ready. Best regards, Haseeb

@abdullahj554

Hi there! I know it is frustrating when your scraper works accurately but takes hours to finish, making scaling across all US ZIP codes slow and inefficient. I will optimize your Python scraper by implementing multithreading or multiprocessing to parallelize ZIP-level and page-level requests. I will keep your existing adaptive radius, job-type split, deduplication, and error handling intact. The results can be streamed efficiently to CSV files, and I can add optional proxy rotation for future scalability. This will make the scraper fast and ready for all states. Do you want me to start with parallelizing ZIP-level requests first to measure speed improvements? Start chat now and let us optimize your Indeed job scraper.

@SparkHaven

I TREAT EVERY PROJECT AS IF IT WERE MY OWN — WITH CARE, PRECISION AND ACCOUNTABILITY Looking for speed, reliability, and quality? That’s exactly what I bring. I understand the need to optimize the Indeed job scraper script for speed and accuracy across all US states. With expertise in Python, multithreading, and external library integration, I can implement parallel processing, adaptive radius adjustments, and error handling enhancements while ensuring seamless data output. While I am relatively new to freelancer, I have tons of experience with other projects off site. If you're looking for someone who treats your project like their own and delivers beyond expectations, I'd love to discuss further about your project! Regards, Praven

@sainarsimharedd6

I’ll optimize your Indeed scraper for maximum speed with no loss of accuracy. Add multithreading/multiprocessing to parallelize ZIP/page scraping Future-ready proxy rotation and robust error handling Stream results to CSV to handle large datasets Preserve adaptive radius, job-type split, and deduplication logic You’ll get a scalable, production-ready scraper that processes all US ZIP codes much faster. Ready to start as soon as you share the code. I will be waiting for your response.

@Jamil423445

Hello, I’m an experienced Python developer and can optimize your Indeed job scraper for maximum speed without compromising accuracy. I will implement multithreading/multiprocessing for ZIP-level and page-level parallelization, maintain adaptive radius and job-type logic, ensure deduplication and error handling, and stream results efficiently to CSV. I have a full team ready, so I can deliver fast, reliable, and scalable results across all US ZIP codes. Ready to start immediately and ensure high-quality output. Best regards, Jamilur Rahman

@eliob8

I have the necessary skills for this project. It doesn't seem to be very complicated. I could have it ready in less than 7 days.

@Marinus06

My skills and experience align perfectly with what you're looking for. Optimizing your Python job scraper script to fetch job listings faster across all US states is a challenge I'm ready to tackle head-on. While I am new to freelancer, I have tons of experience and have done other projects off site. I specialize in implementing multithreading for speed, maintaining current logic, and preserving error handling in Python scripts. I’d be happy to discuss your project in more detail! Regards, Marinus Botha

@plgexpert

Hi, I can optimize your Indeed job scraper for speed, scalability, and reliability while keeping high recall intact. I’ll implement multithreading/multiprocessing to parallelize ZIP/page-level requests, add proxy rotation support, and preserve adaptive radius, job-type split, deduplication, and error handling. To handle scale, I’ll stream results into CSV shards or a single output. My approach: review and profile your script, apply concurrency optimizations, integrate scalable output, and validate nationwide across ZIPs. Tools may include Requests, aiohttp, concurrent.futures. Delivery in 4–6 days with full documentation and testing.