I build reliable web scrapers, data-extraction systems, automation workflows, and production-ready Apify Actors — then turn the data into analysis, forecasts, and dashboards you can act on.
Use a tool that already exists and get data today — or bring a problem and have the whole pipeline built around it.
200+ documented web scrapers and data tools, published as Apify Actors — e-commerce, real estate, social media, jobs, leads, finance, and travel.
Custom work scoped in plain English with a fixed quote — from a one-off scraper to a full extract-model-visualize pipeline.
Every service is backed by shipped work — real Actors, real notebooks, real client reviews.
Custom Python scrapers that survive real-world websites — anti-bot handling, pagination, retries, and clean structured output in CSV, JSON, or Excel.
02Production-ready Apify Actors with input schemas, documentation, and monetization — 300+ published and running for 3.5K+ users.
03Browser automation, API integrations, and repeatable workflows that replace hours of manual copy-paste with a script that just runs.
04Exploratory and statistical analysis in Jupyter — the trends, segments, and anomalies hiding in your data, explained in plain English.
05Predictive models, recommender systems, and forecasts built with scikit-learn, TensorFlow, and PyTorch — validated honestly.
06Interactive dashboards and clear written reports that keep the answer alive as new data arrives.
Hybrid PyTorch recommender (sequence + content + CF) serving 95,415 learners through a REST API — beats item-CF baselines on every metric.
Deep-learning early-warning system for turbine sensor data — 93.6% recall on unseen failures across 5,000 test readings.
Retrieval-augmented clinical Q&A over the 4,114-page Merck Manual with a local Mistral-7B — grounding scores up from 2.0 to 5.0.
Automated data-quality and claim-validation pipeline for German vehicle-repair invoices — leakage-safe, time-split, honestly evaluated.
Scrapers for Zillow, Airbnb, Amazon, Instagram, Google My Business and hundreds more — published, maintained, and answering issues within hours.
“Great working with him- he is exceptionally talented and I've worked with 50+ freelancers. The task at hand was an automated script and he did it excellently. The communication was superb as well! Thanks again and look forward to working again!”Data Scraping · 11 days
“I hired this freelancer for a coding project and the experience was excellent from start to finish. Their attention to detail was impressive — they caught small issues and edge cases I hadn't even thought about, which made the final code much more reliable. Professionalism was top-notch: every deadline…”Marketing Analytics · 6 weeks
“Jamshaid was very prompt in response. Willing to assist at anytime. Was my 2nd job with him. I spoke with 3 different tenets for the job and knew he was the best one to hire. He provided the confidence and assurance that he can do the report. Thank you.”Marketing Analytics · 2 weeks
Every review is real — each card links to a screenshot of the original Fiverr review.
A simple, predictable path — whether it's one scraper or a full analysis pipeline.
Email what you're trying to learn or collect — a site to scrape, a forecast you need, a dataset that confuses you.
You receive a plain-English plan: what's feasible, the approach, timeline, and a fixed quote. No surprises later.
Scrapers run, models train, dashboards take shape — with progress updates and samples along the way.
Clean files, working tools, or live dashboards land in your hands, documented and ready to plug into your workflow.
Two things that work together: a library of 200+ ready-to-use web scrapers and data tools, and custom data services — web scraping, Apify Actor development, Python automation, analysis, forecasting, and dashboards. You can use a ready-made tool as-is, or bring a problem and have the whole pipeline built for you.
The library contains tools that already exist — each page describes what the tool collects and returns, and they're the fastest, most economical option. Custom projects are scoped from scratch: a scraper for a site not in the library, a forecast built on your data, or a dashboard for your team. Custom work is quoted per project after a short scoping conversation.
The tools collect publicly available data only — nothing behind logins or paywalls. That said, how you use collected data is your responsibility: you should comply with target websites' terms of service and applicable laws (including copyright and data-protection rules like GDPR/CCPA where they apply). If a use case looks problematic, you'll be told before work starts.
Usually, yes. Most public websites can be scraped with the right approach, and custom builds are a core part of the practice. A few heavily protected sites are impractical to do reliably — you'll get an honest feasibility answer before committing, not after.
Whatever fits your workflow: CSV, JSON, or Excel for datasets; runnable Python tools where useful; and interactive dashboards or written reports for analysis work. Output is always clean and structured — consistent fields, deduplicated rows, ready for a spreadsheet, database, or BI tool.
Ready-made tools can run the same day. Small custom scrapers typically ship within days; larger analysis, forecasting, or dashboard projects take longer and get a timeline in the quote. To start, email jamshaid@datavyn.com or use the contact form with a couple of sentences about what you need.
Full analysis is half the practice. Beyond extraction, datavyn covers data cleaning, exploratory insight work, forecasting, machine-learning techniques like segmentation and anomaly detection, and dashboards — the portfolio includes recommender systems, predictive-maintenance models, and healthcare AI projects, not just scrapers.
Project-based and agreed up front. After you describe what you need, you get a plain-English scope with a fixed quote — no hourly meters, no surprise invoices. Small tool runs cost little; bigger pipelines are priced by the work involved. Reach out for a quote on your specific case.
Let's discuss your scraping, automation, or data-extraction requirements — clear feasibility answer within 1–2 business days.
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