We extract public contractor profiles, project portfolios, service areas, and verified reviews from Jobprogress. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Contractor Profiles objects from jobprogress.com. All fields typed and schema-versioned.
"contractor_id": "JP-88421", "company_name": "Apex Roofing Specialists", "trade_type": "Roofing", "year_founded": 2008, "license_number": "LIC-992341", "insurance_status": "Verified", "city": "Austin", "state": "TX"
| # | contractor_id | company_name | owner_name | trade_type | year_founded | license_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Project Portfolios objects from jobprogress.com. All fields typed and schema-versioned.
"project_id": "PRJ-9921", "contractor_id": "JP-88421", "project_title": "Residential Roof Replacement", "project_type": "Asphalt Shingle", "completion_date": "2025-08-14", "location_city": "Round Rock", "location_state": "TX", "budget_range": "$10,000 - $15,000"
| # | project_id | contractor_id | project_title | project_type | completion_date | budget_range |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Customer Reviews objects from jobprogress.com. All fields typed and schema-versioned.
"review_id": "REV-44129", "contractor_id": "JP-88421", "reviewer_name": "Sarah Jenkins", "rating": 5.0, "review_date": "2025-09-02", "verified_customer": true, "project_type_referenced": "Roof Repair", "response_date": "2025-09-03"
| # | review_id | contractor_id | reviewer_name | rating | review_text | review_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Service Areas objects from jobprogress.com. All fields typed and schema-versioned.
"contractor_id": "JP-88421", "primary_city": "Austin", "primary_state": "TX", "radius_miles": 50, "travel_fee_applies": false, "emergency_service_available": true, "counties_served": "['Travis', 'Williamson', 'Hays']"
| # | contractor_id | primary_city | primary_state | radius_miles | zip_codes_served | counties_served |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trade Specialisations objects from jobprogress.com. All fields typed and schema-versioned.
"contractor_id": "JP-88421", "primary_trade": "Roofing", "sub_trades": "['Gutters', 'Siding']", "certifications": "['GAF Master Elite', 'Owens Corning Preferred']", "commercial_residential": "Both", "warranty_offered": "Lifetime Workmanship", "lead_cert_status": "Certified"
| # | contractor_id | primary_trade | sub_trades | certifications | union_affiliation | brands_used |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Jobprogress scraper handles the heavy JavaScript execution required to parse dynamic contractor portfolios, nested service areas, and paginated review modules.
Extract company names, owner details, contact information, and operating licenses from public contractor listings.
Capture project descriptions, completion dates, material lists, and high-resolution image URLs from contractor portfolios.
Extract full review text, star ratings, response timestamps, and verified customer flags across all paginated views.
Parse zip codes, counties, and radius metrics to build accurate geographic coverage maps for every contractor.
Capture license numbers, insurance verification statuses, and trade certifications to validate contractor compliance.
Extract primary trades, sub-trades, brand affiliations, and warranty offerings to categorise contractor capabilities.
Track new project additions, fresh reviews, and updated service areas with hash-based diffing to reduce processing load.
Execute complex JavaScript payloads to render and extract data from single-page application components.
Utilise state-specific residential proxies to view localised contractor profiles and region-specific pricing data.
Brief in. Clean data out.
Provide target regions, trade types, or specific contractor IDs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, handle proxy rotation, and manage JavaScript execution for jobprogress.com.
Schema validation, null-rate checks, and portfolio image verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from modern construction management platforms requires executing heavy frontend frameworks and handling variable profile structures.
Jobprogress relies heavily on JavaScript to render project images and review modules. We use Playwright to execute these scripts, wait for network idle states, and extract the fully hydrated DOM.
Contractors format their profiles differently. Our pipeline includes standardisation layers to normalise phone numbers, address formats, and trade categories into a strict schema.
We implement recursive pagination logic to extract every review and project, ensuring complete historical data capture rather than just the most recent entries.
We distribute requests across residential proxy pools and implement randomised delays to respect server limits and maintain uninterrupted pipeline execution.
Project portfolios contain valuable visual data. We extract high-resolution image URLs and associated metadata without downloading the heavy binary files, keeping data payloads light.
Building material suppliers identify high-volume contractors based on project portfolios and trade specialisations to target outreach.
Industry analysts track regional construction trends, project densities, and popular materials using aggregate portfolio data.
Contracting firms monitor competitor service areas, customer review sentiment, and newly completed projects.
Insurance providers verify contractor licensing, service radii, and project types to assess risk profiles accurately.
Large general contractors build vetted databases of specialised tradesmen based on verified reviews and project histories.
Proptech companies enrich their internal CRM databases with updated contractor contact information and service territories.
"Jobprogress hosts critical operational data for thousands of contractors, but extracting it requires navigating complex single-page applications and dynamic portfolio layouts."
Most teams underestimate the investment required: reliable Jobprogress scraping requires handling heavy JavaScript payloads, standardising fragmented contractor data, and maintaining selectors across frequent UI updates. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our jobprogress.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright executes JavaScript to render dynamic portfolios and review modules.
We maintain pools of residential ISP proxies to distribute requests and prevent rate limiting during large-scale directory crawls.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. State is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About jobprogress.com scraping, legality, and pipeline operations.
Ask us directly →We extract publicly available data including contractor profiles, project portfolios, service areas, trade specialisations, and customer reviews. We do not extract private CRM data, financial records, or internal messages.
We use Playwright to execute the underlying JavaScript, wait for the network to idle, and extract the fully rendered DOM containing the project details and image URLs.
Yes. We configure pipelines to monitor specific contractor profiles and use change detection to deliver only new reviews since the last execution.
Yes. Our pipeline includes a normalisation layer that formats addresses, zip codes, and phone numbers into a consistent schema for immediate database ingestion.
Pipelines can be configured to run daily, weekly, or monthly depending on your requirements and the total volume of contractor profiles being monitored.
By default, we extract the high-resolution image URLs rather than downloading the binary files. This keeps the data payload lightweight and reduces storage costs.
Yes. We provide a sample dataset of up to 100 contractor profiles during the scoping phase to ensure the schema meets your exact requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off directory export or continuous monitoring of contractor portfolios, we build and operate the infrastructure. Tell us your requirements.
