You will get a broken Python web scraper fixed, optimized, and QA-validated
Rising Talent
Project details
⚠️ Please MESSAGE me with your script + target URL before buying, so I can give you a free feasibility check first.
Your Python scraper broke and you're losing data. I fix it, harden it, and validate the output against your real data — so it actually works, not just runs.
I diagnose and fix:
• Layout/HTML changes: empty fields, garbage data, or duplicates after a site update
• Blocking: IP bans, 403s, bot challenges (proxy + rate-limit handling — I don't bypass paywalls or secure auth)
• Flaky runs: Selenium/Playwright timeouts, hangs, memory leaks
• Broken APIs: endpoint/pagination changes, bad JSON parsing
• Data integrity: encoding issues, missing fields, broken CSV/JSON/DB exports
My QA background means I don't just patch the bug — I find the edge case that broke it and add error handling so it won't break the same way again.
Proof: I built and maintain uaculturehub.com — a live data product that aggregates dozens of sources into PostgreSQL, serves an API, and powers a Next.js UI, managing 40,000+ deduplicated records on automated nightly runs.
Send me your broken script, the target URL, and the error logs — let's get your data flowing again.
Your Python scraper broke and you're losing data. I fix it, harden it, and validate the output against your real data — so it actually works, not just runs.
I diagnose and fix:
• Layout/HTML changes: empty fields, garbage data, or duplicates after a site update
• Blocking: IP bans, 403s, bot challenges (proxy + rate-limit handling — I don't bypass paywalls or secure auth)
• Flaky runs: Selenium/Playwright timeouts, hangs, memory leaks
• Broken APIs: endpoint/pagination changes, bad JSON parsing
• Data integrity: encoding issues, missing fields, broken CSV/JSON/DB exports
My QA background means I don't just patch the bug — I find the edge case that broke it and add error handling so it won't break the same way again.
Proof: I built and maintain uaculturehub.com — a live data product that aggregates dozens of sources into PostgreSQL, serves an API, and powers a Next.js UI, managing 40,000+ deduplicated records on automated nightly runs.
Send me your broken script, the target URL, and the error logs — let's get your data flowing again.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$45
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 0 | 0 | 0 |
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SB
Scott B.
Jun 8, 2026
U.S. Pet Organization Data Acquisition
It is always a challenge picking from 40+ contractors for a job. Andrii was excellent right from the start and was a great choice. Not only did he communicate clearly every step of the way, he went above and beyond in the final delivery of the web data extract that I needed. I will go directly to Andrii to see if he can handle my future work needs (on Upwork, of course) before I search anyone else, he was that good. Choose him, you will not be disappointed.
About Andrii
Verified B2B Lead Lists & Data Pipelines | Web Scraping + Python
Kyiv, Ukraine - 1:19 pm local time
WHAT YOU GET - a clean, ready-to-use prospect database:
Company or organization, named decision-maker and title, published email, phone, website, address, and LinkedIn. Deduplicated, format-checked, and source-verified. Every email is run through deliverability verification so bounce-prone addresses are dropped, not shipped. Where a data point is not publicly available, I flag it as "not found" rather than guess or invent it.
HOW I GUARANTEE IT - the QA pipeline:
Most lead lists fail on quality: duplicates, wrong contacts, and emails that bounce and burn your sending domain. My background in rigorous software QA is the difference. I build a real collection-and-verification pipeline - gather from public sources, clean, dedupe, cross-check each contact against the live company site, and verify deliverability - so what you get is accurate, current, and CRM-ready. I am honest about realistic coverage (typically 40-55% published emails for public-only sources) and I will steer you away from anyone promising "90k valid emails", because those are spam-traps that hurt your domain.
DATA PIPELINES & AUTOMATION - need data moved and transformed on a schedule?
I build Python pipelines that pull from sites, APIs, and PDFs, clean and validate, and load into your sheet, CRM, or database. I use LLMs only where they raise accuracy on messy extraction, always with QA on the output - never a raw model dump.
SCRAPER RESCUE - already have a scraper that broke?
If your Python scraper died, got blocked, or started returning garbage after a site change, I diagnose the real cause (layout shift, anti-bot, rate limits, parser bug), fix it, and validate the output on real data. I pin down the root cause fast and give you an honest timeline before any fix work - many issues clear within a day or two, and I tell you up front if yours is the harder kind. I do not bypass paywalls, logins, or CAPTCHAs.
PROOF (see my portfolio):
I built and run a live data product - a cultural-events aggregator that collects from dozens of public sources into PostgreSQL, validates them, and serves a fast searchable site with maps. 40,000+ deduplicated records, refreshed automatically. The full pipeline - collect, clean, validate, store, serve - in production.
Toolkit: Python (Scrapy, Playwright, BeautifulSoup, Selenium), Pandas, PostgreSQL, REST APIs, Google Places API, email-deliverability verification, LLM enrichment (Claude / OpenAI / Gemini).
I am building my reputation on Upwork, so my focus is 100% on your result. Want proof before you commit? Tell me your target audience or your broken scraper, and I will send you a small free sample or a free diagnosis first.
Steps for completing your project
After purchasing the project, send requirements so Andrii can start the project.
Delivery time starts when Andrii receives requirements from you.
Andrii works on your project following the steps below.
Revisions may occur after the delivery date.
Diagnose
I reproduce the failure and pinpoint the real root cause: selector drift, anti-bot, timing, API change, or parser bug.
Fix & harden
I repair it, replace fragile waits, harden the login and error handling, then re-run end-to-end against your real data.