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You will get Web & Data Scraping - Data Extraction
Top Rated
Project details
What's included:
• Customized data extraction based on your needs
• Data provided in CSV, XLS, or JSON format
• Compliance with the website's terms of service
• Customized data extraction based on your needs
• Data provided in CSV, XLS, or JSON format
• Compliance with the website's terms of service
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$30
|
Standard
$50
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 3 days |
Number of Pages Mined/Scraped | 500 | 1000 | 5000 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Number of Revisions | 1 | 1 | 1 |
Frequently asked questions
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RH
Robert H.
Aug 21, 2026
Parts Unlimited Catalog Data Extraction & ETL
Amazing work Carlos. Can't wait to get the next project started.
AH
Andrew H.
Jul 25, 2026
Research European Residential Property Data Access and Build Simple AVM Prototype (Ex-UK)
Very easy to work with Carlos, good communication & results
JM
Jim M.
Jul 16, 2026
MLS Data Scraper & CRM Automation — Real Estate Lead Pipeline (FLEX MLS → HubSpot + Google Sheets)
Very professional and delivered what was expected!
RR
Ryan R.
Jun 28, 2026
Public Sector Procurement Data Pipeline
Carlos was fantastic to work with. Delivered ahead of schedule. Knew exactly what I needed and was extremely professional. Will definitely work with him again.
AH
Andrew H.
May 22, 2026
Research European Residential Property Data Access and Build Simple AVM Prototype (Ex-UK)
Clearly laid out deliverables, reported progress.
Finished in plenty of time & checked that met requirements and quality.
A pleasure to work with - very professional
Finished in plenty of time & checked that met requirements and quality.
A pleasure to work with - very professional
About Carlos
Web Scraping | Court & Public Records | Anti-Bot Expert | Automation
100%
Job Success
San Luis Potosi, Mexico - 5:48 pm local time
Most extraction projects don't fail at the demo. They fail three weeks later, quietly, when a source changes shape and nobody notices until the data is already wrong. That's the failure mode I'm hired to eliminate.
WHO HIRES ME
Real estate investment firms, proptech and title companies, data providers, price intelligence teams, and AI companies that need a source layer they can defend to their own customers.
ONE INTEGRATION, ENTIRE STATES
250+ county websites usually run on just 10 underlying platforms: Tyler Odyssey, Socrata, Granicus, Laserfiche, CivicPlus, ArcGIS. Build the adapter once, cover the whole state. That's the difference between writing scrapers and building a reusable acquisition platform. Court filings, property appraisals, foreclosure signals, permits, procurement records, business registries, municipal meetings.
WHAT I BUILD
- Web scraping & data extraction at scale — Python, httpx, Scrapy, Playwright, Selenium; JS-heavy sites, authenticated sessions, paginated and API-driven sources
- Data pipelines & ETL — deduplication, entity resolution, normalization, full provenance so every field traces back to its source document and capture date, and as-of queries so you know what was true and when
- AI-ready data layers — vector-ready feeds for RAG, MCP servers or direct API, LLM classification, groundedness checks
- Delivery into your stack — PostgreSQL, Supabase, Snowflake, HubSpot, Google Sheets, REST APIs, webhooks, Slack and email alerts
WHY THE PIPELINES DON'T BREAK
20 years in software engineering and systems security, and the last decade on Python data extraction. I start by mapping how a platform actually serves its data: traffic analysis, internal and undocumented endpoints, request patterns, session and auth flows, and the protection layer sitting in front of them. Cloudflare, Akamai, DataDome, PerimeterX, Imperva, reCAPTCHA, TLS fingerprinting. Working at the protocol level instead of driving a browser farm runs faster, costs a fraction to operate, and survives platform changes that break browser-based scrapers. If a source isn't viable technically or legally, you hear it from me first.
BUILT FOR PRODUCTION, NOT DEMOS
Monitoring, retries, schema-drift detection, data quality gates and scheduling are in from day one, not bolted on after the first outage. You get visibility into what the pipeline is doing and an alert when a source changes, months after delivery.
SELECTED RESULTS
- 150,000+ grocery products monitored every 2-5 hours across major UK retailers
- 125,000+ automotive parts synchronized daily from supplier marketplaces
- Distressed-asset pipeline across 250+ counties: court filings to ownership signals to acquisition-ready feeds
- 100,000+ listings deduplicated and merged with tax assessment and valuation data for AVM workflows
- 96,000+ business entities extracted from government registries, enriched and LLM-classified by industry
- 5,000+ municipal meetings ingested with AI topic detection; adding a new jurisdiction requires zero code changes
HOW WE START
Send me the target URL and a sample of the output you need. I'll map the source, tell you whether it's viable and what it will realistically take, and you'll have that before you commit a dollar.
Steps for completing your project
After purchasing the project, send requirements so Carlos can start the project.
Delivery time starts when Carlos receives requirements from you.
Carlos works on your project following the steps below.
Revisions may occur after the delivery date.
Please provide the URL(s) and specify the type of data you want to extract.