We extract Australian business listings, customer reviews, ratings, and contact information from womo.com.au. Delivered as clean JSON, CSV, or Parquet to S3 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 Business Profiles objects from womo.com.au. All fields typed and schema-versioned.
"business_id": "B983421", "name": "Melbourne Plumbing Services", "category": "Trades", "suburb": "Richmond", "state": "VIC", "postcode": "3121", "overall_rating": 4.8, "review_count": 142, "service_award_winner": true
| # | business_id | name | category | sub_category | address | suburb |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews objects from womo.com.au. All fields typed and schema-versioned.
"review_id": "R459102", "business_id": "B983421", "reviewer_name": "Sarah J.", "rating": 5.0, "date_posted": "2023-11-14", "verified_status": true, "helpful_votes": 3, "business_response": "Thanks for the feedback, Sarah!"
| # | review_id | business_id | reviewer_name | reviewer_url | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviewer Profiles objects from womo.com.au. All fields typed and schema-versioned.
"reviewer_id": "U88123", "username": "Sarah J.", "location": "Melbourne, VIC", "total_reviews": 47, "helpful_votes_received": 112, "member_since": "2019-04-01", "top_categories": "['Restaurants', 'Trades']"
| # | reviewer_id | username | location | total_reviews | helpful_votes_received | member_since |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Search Results objects from womo.com.au. All fields typed and schema-versioned.
"keyword": "plumber", "location_query": "Melbourne", "rank_position": 3, "business_name": "Melbourne Plumbing Services", "rating": 4.8, "sponsored_listing": false, "scraped_at": "2023-11-20T08:15:00Z"
| # | keyword | location_query | rank_position | business_id | business_name | business_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Categories objects from womo.com.au. All fields typed and schema-versioned.
"category_name": "Plumbers", "parent_category": "Trades", "total_businesses": 1205, "average_rating": 4.2, "region": "Victoria", "url": "https://www.womo.com.au/plumbers/vic", "scraping_timestamp": "2023-11-20T08:16:00Z"
| # | category_id | category_name | parent_category | total_businesses | top_rated_business_id | average_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our WOMO scraper navigates directory hierarchies, handles pagination limits, and parses unstructured contact details into normalised fields.
Capture business names, addresses, phone numbers, and websites across all available categories and Australian suburbs.
Extract full review text, star ratings, posting dates, and verified status flags for sentiment analysis.
Identify past and present WOMO Service Award winners to isolate high-performing local businesses.
Extract reviewer activity metrics, join dates, and trust signals to filter out anomalous or fake feedback.
Track how owners reply to feedback, including response text and timestamps, to measure engagement.
Clean and structure location data into distinct suburb, state, and postcode fields for precise mapping.
Traverse deep category trees and location filters without missing listings hidden behind pagination limits.
Clean export of phone numbers and URLs, stripping out obfuscation techniques used by the directory.
Monitor new reviews and rating changes on a daily or weekly cadence with hash-based change detection.
Brief in. Clean data out.
Provide target categories, postcodes, or specific business URLs. We design the extraction schema together.
We configure Scrapy crawlers, residential proxies, and session management for womo.com.au.
Schema validation, deduplication, and null-rate checks before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Directory sites deploy specific countermeasures to protect contact data. We handle the complexity so you get clean records.
We route requests through AU-based residential IPs to avoid geo-blocking and rate limits common with data centre proxies.
Directories often truncate results at page 10. We use specific location and sub-category permutations to ensure 100% extraction coverage.
Phone numbers and emails are often hidden behind JavaScript clicks or encoded. Playwright sessions trigger these events to capture the raw text.
For continuous monitoring, we hash existing review IDs and only extract new reviews, reducing redundant processing.
Automated alerts fire if DOM changes cause null rates to spike for critical fields like overall_rating or phone_number.
B2B sales teams extract highly-rated local businesses to build targeted outreach lists with verified contact details.
Agencies monitor client profiles across directories to alert on negative reviews and track rating trajectories.
Franchises and multi-location businesses compare their review volume and sentiment against local competitors.
Marketers track citation consistency and category rankings to optimise local search visibility.
Analysts evaluate service quality trends within specific Australian states or trades.
Data science teams process review text to identify common customer pain points in specific industries.
"WOMO holds the most concentrated dataset of Australian local business sentiment and service quality, but extracting it at scale requires dedicated infrastructure."
Directory scraping often fails at the pagination limit or gets blocked when accessing contact details. DataFlirt handles the proxy rotation, JavaScript execution, and schema parsing so your team can focus entirely on data analysis.
Everything supported by our womo.com.au 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 handles JavaScript rendering and interaction flows for revealing contact details.
We maintain pools of residential ISP proxies in Australia. Rotation happens per-request to avoid rate limiting and IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About womo.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available directory information is generally permissible. DataFlirt extracts only public business profiles and reviews. We do not bypass authentication walls to access private owner dashboards.
We use Playwright to execute the required JavaScript events that reveal hidden contact information, capturing the text exactly as a human user would see it.
Yes. We can scope the pipeline to target specific postcodes, suburbs, or states to minimise data volume and focus on your target market.
Pipelines can be configured to run daily or weekly. We use change detection to identify and deliver only new reviews since the last run.
Yes, we extract public reviewer metrics such as total reviews submitted, helpful votes received, and join dates. We do not extract private emails.
We typically scope projects starting at 5,000 target businesses or specific category verticals. Contact us for a precise quote based on your volume.
20-minute scoping call. Pilot dataset within the week. Production within two. Need a one-off directory export or continuous review monitoring? We build and maintain the infrastructure. Tell us your requirements.
