We extract tutor profiles, hourly rates, subject qualifications, and review text from Wyzant. 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 Tutor Profiles objects from wyzant.com. All fields typed and schema-versioned.
"tutor_id": "WYZ-8492A", "name": "Sarah M.", "headline": "Math and Physics Expert", "location": "Chicago, IL", "hourly_rate": 65.0, "rating": 4.9, "background_checked": true, "online_available": true
| # | tutor_id | name | headline | location | online_available | in_person_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Subjects & Qualifications objects from wyzant.com. All fields typed and schema-versioned.
"tutor_id": "WYZ-8492A", "subject_name": "Calculus", "category": "Math", "hours_taught": 342, "approved": true, "student_count": 89, "qualification_text": "PhD in Mathematics from UIUC."
| # | tutor_id | subject_name | category | sub_category | hours_taught | approved |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Policies objects from wyzant.com. All fields typed and schema-versioned.
"tutor_id": "WYZ-8492A", "base_hourly_rate": 65.0, "travel_radius": 15, "travel_fee": 10.0, "cancellation_policy": "24-hour notice required", "good_fit_guarantee": true, "first_lesson_discount": false
| # | tutor_id | base_hourly_rate | online_rate | in_person_rate | travel_radius | travel_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from wyzant.com. All fields typed and schema-versioned.
"review_id": "REV-99382", "tutor_id": "WYZ-8492A", "student_name": "David K.", "rating": 5.0, "review_date": "2023-11-14", "review_text": "Sarah explains complex concepts clearly.", "subject_taught": "AP Physics", "verified_student": true
| # | review_id | tutor_id | student_name | rating | review_date | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from wyzant.com. All fields typed and schema-versioned.
"keyword": "python programming", "location": "online", "position": 4, "tutor_id": "WYZ-8492A", "name": "Sarah M.", "hourly_rate": 65.0, "rating": 4.9, "scraped_at": "2023-12-01T10:00:00Z"
| # | keyword | location | position | tutor_id | name | headline |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Wyzant scraper captures tutor profiles, subject taxonomy, dynamic hourly rates, and review histories. Built with anti-bot evasion and session persistence to ensure continuous data flow.
Name, headline, location, education history, and background check status extracted for every active tutor.
Capture base rates, travel fees, and online vs in-person pricing variations timestamped per crawl.
Extract approved subjects, hours taught per subject, and specific qualification statements.
Full text reviews, star ratings, student names, and subject context paginated across the tutor's history.
Track average response times and active hours to measure tutor engagement and platform liquidity.
Monitor search positions for specific subjects and zip codes to map tutor visibility.
Identify tutors with the Good Fit Guarantee, background check badges, and specific cancellation policies.
Run continuous pipelines with hash-based diffing. Only receive records when a tutor updates their rate or adds subjects.
Extract travel radius geometries and in-person availability constraints for local market analysis.
Brief in. Clean data out.
Provide subject lists, zip codes, or specific tutor IDs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for wyzant.com.
Schema validation, null-rate checks, rate-outlier detection, and sample reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Wyzant employs commercial bot mitigation to protect its tutor directory. We handle the infrastructure so you receive clean data without interruption.
Wyzant rate-limits standard datacenter IPs. We route requests through US-based residential proxies with TLS fingerprint spoofing to maintain access.
Search results and dynamic filtering require JavaScript execution. We run full browser sessions to render the DOM exactly as a student sees it.
Tutors with thousands of hours have deeply paginated review sections. Our crawlers traverse these reliably without triggering session timeouts.
We use multiple fallback chains for DOM elements. If Wyzant updates their profile layout, CSS and XPath fallbacks ensure your pipeline continues delivering.
We maintain state on tutor profiles. When running daily tracking, we only push data if a tutor changes their rate, adds a subject, or receives a new review.
Competing platforms monitor Wyzant's tutor supply, subject density, and geographic coverage to identify market gaps.
Marketplaces track hourly rates across disciplines and zip codes to optimise their own pricing algorithms.
Economists analyse gig-economy tutoring rates, hours billed, and subject demand trends.
Agencies identify highly rated, active tutors in specific niches for direct recruitment campaigns.
Machine learning teams use structured Q&A and subject qualification text to train educational LLMs.
Private equity firms evaluate platform liquidity, tutor retention, and review velocity before investing in the EdTech sector.
"Wyzant holds the most comprehensive dataset on private tutoring rates and subject demand in the US, but extracting it requires navigating strict rate limits and dynamic pagination."
Building a reliable Wyzant scraper internally drains engineering time. You must manage US residential proxies, handle JavaScript-heavy search interfaces, and constantly update selectors as the platform evolves. DataFlirt absorbs this infrastructure burden, delivering structured tutor data directly to your warehouse so your team can focus on analysis.
Everything supported by our wyzant.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 orchestration and retry logic. Playwright handles JavaScript rendering and search hydration for Wyzant's dynamic UI.
We maintain pools of US residential ISP proxies. Rotation happens per-request with sticky sessions to avoid triggering Wyzant's bot detection.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. State stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About wyzant.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Wyzant is generally permissible under applicable law, including the hiQ v. LinkedIn ruling. DataFlirt targets only public, non-authenticated tutor profiles, rates, and reviews. We do not extract private messages or billing data.
We use US-based residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and human-like request timing. Our systems monitor for block rates and rotate IPs automatically.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record for tutor rates, allowing you to track pricing elasticity and market trends.
Yes. We extract the full list of approved subjects, including the specific hours taught and qualifications listed for each subject on the tutor's profile.
Depending on your requirements, we configure pipelines to run daily, weekly, or monthly. Delta exports ensure you receive updates immediately after a run completes.
Absolutely. We provide a sample run of up to 500 tutor profiles or specific subject searches as part of the scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete market snapshot of US tutors or continuous tracking of hourly rates across specific zip codes, we scope, build, and operate the pipeline. Tell us what you need.
