We extract integration marketplace listings, partner directories, contractor case studies, and community forums from ServiceTitan. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Integration Marketplace objects from servicetitan.com. All fields typed and schema-versioned.
"app_id": "ST-INT-492", "name": "QuickBooks Online Sync", "developer": "ServiceTitan", "category": "Accounting", "rating": 4.7, "review_count": 342, "pricing_model": "Included", "release_date": "2021-04-12"
| # | app_id | name | developer | category | description | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Partner Directory objects from servicetitan.com. All fields typed and schema-versioned.
"partner_id": "PRT-881", "company_name": "Apex HVAC Solutions", "partner_tier": "Platinum", "location": "Austin, TX", "industries_served": "['HVAC', 'Plumbing']", "certification_date": "2022-11-05", "website": "https://apexhvac.example.com", "phone_number": "+1-555-0198"
| # | partner_id | company_name | partner_tier | location | website | industries_served |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Community Q&A objects from servicetitan.com. All fields typed and schema-versioned.
"thread_id": "TH-9921", "title": "Dispatch board colour coding best practices", "author": "Sarah Jenkins", "author_role": "Dispatcher", "post_date": "2023-08-14T10:22:00Z", "reply_count": 14, "is_solved": true, "upvotes": 45
| # | thread_id | title | author | author_role | post_date | view_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Contractor Case Studies objects from servicetitan.com. All fields typed and schema-versioned.
"study_id": "CS-104", "contractor_name": "Elite Electrical", "trade": "Electrical", "revenue_growth": "145%", "efficiency_gain": "32 hours/week", "location": "Denver, CO", "publication_date": "2023-02-18", "pdf_url": "https://servicetitan.com/downloads/cs-104.pdf"
| # | study_id | contractor_name | trade | revenue_growth | efficiency_gain | location |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for App Reviews objects from servicetitan.com. All fields typed and schema-versioned.
"review_id": "REV-5519", "app_id": "ST-INT-492", "reviewer_name": "Mike Ross", "company_size": "10-50", "rating": 5, "review_date": "2023-09-01", "title": "Saved our accounting team days of work", "helpful_votes": 12
| # | review_id | app_id | reviewer_name | company_size | rating | review_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our ServiceTitan scraper handles the public ecosystem layers: integration marketplaces, certified partner directories, and community forums, with JavaScript rendering and session management built in.
App names, developer details, feature lists, pricing models, and release dates scraped across all integration categories.
Capture certified partner names, tiers, operational locations, and contact metadata from the public partner directory.
Full thread text, author roles, reply counts, solved status, and tags paginated across all public discussion boards.
Extract revenue growth percentages, efficiency gains, tools utilised, and trade specifics from published contractor success stories.
Full review text, star ratings, helpful vote counts, and developer responses across all marketplace applications.
Monitor changes to public API documentation, endpoint deprecations, and schema updates for integration planning.
Hash based diffing ensures you only receive records for new partners, new apps, or updated forum threads.
Extract directory variations across US, Canadian, and other supported regional domains.
Run one-off bulk exports or configure continuous pipelines at weekly, daily, or hourly cadences.
Brief in. Clean data out.
Provide target directory URLs, marketplace categories, or forum sections. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for servicetitan.com.
Schema validation, null-rate checks, and sample data review before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
SaaS directories utilise dynamic rendering and rate limiting. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
ServiceTitan directories and community forums are heavily JavaScript rendered. We run full Playwright browser sessions with JavaScript execution and lazy-load triggering, capturing data that headless HTTP clients miss.
SaaS platforms enforce strict IP rate limits on directory pagination. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to distribute load and prevent blocks.
Marketing site DOM structures change frequently. Our selector strategy uses multiple fallback chains per field, including CSS selectors, XPath, and text pattern matching, so a layout change does not break your data pipeline.
For partner catalogues and app marketplaces, we maintain a hash index of last seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops. SLA uptime is contractual, not aspirational.
Field service software competitors monitor the ServiceTitan integration marketplace to benchmark features and identify missing integration partners.
SaaS vendors extract the certified partner directory to build highly targeted account lists of established home service contractors.
Product managers track new marketplace additions and API documentation changes to plan their own integration roadmaps.
Analysts scrape community Q&A and app reviews to identify common contractor pain points and feature requests.
B2B service providers target contractors featured in case studies, using revenue growth metrics to qualify high value prospects.
Consulting firms aggregate forum tags and marketplace categories to map macro trends in the field service management sector.
"ServiceTitan's public directories map the entire contracting software ecosystem, but extracting it requires navigating strict rate limits and dynamic single-page applications."
Most teams underestimate the investment required: reliable SaaS directory scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our servicetitan.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US regions. Rotation happens per request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About servicetitan.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory and marketplace information is generally permissible. DataFlirt targets only public, non authenticated partner, app, and community data. We do not extract private contractor data, circumvent authentication walls, or violate user privacy.
We use residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour. We monitor for 429 rate limit spikes in real time and trigger pool rotation automatically.
Public data includes the integration app marketplace, certified partner directory, community Q&A forums, marketing case studies, and public developer API documentation.
No. Internal contractor data, scheduling, dispatch boards, and customer financial records are gated behind authentication and strict access controls. We only extract publicly accessible ecosystem data.
Marketplace and directory pipelines typically run on daily or weekly cadences depending on your requirements. Full catalogue refreshes complete within a 2-4 hour window.
Our packages start at weekly delivery of the full app marketplace and partner directory. Contact us with your use case for a scoped quote.
Yes. We provide a sample run of up to 100 marketplace apps or partner listings as part of the pre engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off partner directory dump or a continuous marketplace monitoring feed, we scope, build, and operate the pipeline. Tell us what you need.
