---
type: "offer_catalog"
title: "DataCrawlPro services and public offers"
description: "Products, services, pricing signals, and offer paths visible from DataCrawlPro public pages."
resource: "https://www.datacrawlpro.com/pricing"
tags:
  - "offers"
  - "services"
  - "commerce-readiness"
timestamp: "2026-06-30"
---

# DataCrawlPro Services And Offers

## Core Services

- Web scraping services for public or authorized websites.
- Data extraction services for websites, directories, product pages, listings, public documents, and business data.
- Python web scraping scripts with setup guidance and optional support.
- AI Agent Visibility & Commerce Readiness reports.
- AI crawler visibility, robots.txt, llms.txt, schema, public exposure, and action-path review.

## AI Agent Visibility & Commerce Readiness

The readiness report checks whether AI assistants can understand what a company sells, trust public content, find services, pricing or quote paths, FAQs, schema signals, llms.txt, OKF-style knowledge structure, and contact/demo/checkout/booking/quote actions.

## Pricing Signals

- Free instant public preview for AI readiness and scraping/sample feasibility.
- $10 full automated AI Agent Visibility & Commerce Readiness report.
- Custom quote for complete datasets, Python scripts, recurring extraction, data cleaning, and custom delivery.
- Upwork contracts are available when the client prefers platform-based milestones and payment protection.

## Deliverables

- Sample data preview up to 5 records when visible public data supports it.
- Full cleaned dataset after scope confirmation.
- Python scraper blueprint or script when requested and ethically allowed.
- AI readiness report PDF with score, missing signals, developer fixes, generated llms.txt draft, OKF bundle, AI-ready profile, public page review, and limitations.

## Important Commercial Notes

Website checkout is paused unless reintroduced explicitly. DataCrawlPro does not store payment card details. Full scraping and Python work should be scoped before payment because source complexity, fields, volume, frequency, and deadline vary.