We extract verified Australian business listings, contact information, category tags, and user reviews from TrueLocal. 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 Business Profiles objects from truelocal.com.au. All fields typed and schema-versioned.
"business_id": "TL_938472", "name": "Sydney Plumbing Pros", "url": "https://www.truelocal.com.au/business/sydney-plumbing-pros/sydney", "category": "Trades", "claimed_status": true, "abn": "12345678901", "year_established": 2012, "scraped_at": "2026-05-12T09:14:00Z"
| # | business_id | name | url | category | sub_category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Contact & Location objects from truelocal.com.au. All fields typed and schema-versioned.
"business_id": "TL_938472", "phone": "02 9123 4567", "website": "https://sydneyplumbingpros.com.au", "street_address": "45 George Street", "suburb": "Sydney", "state": "NSW", "postcode": "2000", "latitude": -33.8688, "longitude": 151.2093
| # | business_id | phone | website | street_address | suburb | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from truelocal.com.au. All fields typed and schema-versioned.
"review_id": "REV_88492", "business_id": "TL_938472", "reviewer_name": "John D.", "rating": 5, "review_title": "Fast and reliable", "review_body": "Arrived within an hour and fixed the leak quickly.", "review_date": "2026-04-18", "response_from_owner": "Thanks John, glad we could help out!"
| # | review_id | business_id | reviewer_name | rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Operating Hours objects from truelocal.com.au. All fields typed and schema-versioned.
"business_id": "TL_938472", "monday_open": "07:00", "monday_close": "17:00", "tuesday_open": "07:00", "tuesday_close": "17:00", "public_holidays_status": "Closed", "timezone": "Australia/Sydney"
| # | business_id | monday_open | monday_close | tuesday_open | tuesday_close | wednesday_open |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from truelocal.com.au. All fields typed and schema-versioned.
"keyword": "plumber", "location": "Sydney NSW", "position": 3, "business_id": "TL_938472", "name": "Sydney Plumbing Pros", "rating": 4.8, "review_count": 124, "sponsored": false, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | location | position | business_id | name | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our TrueLocal scraper handles every layer of the directory: business profiles, dynamic phone number reveals, category taxonomy, and the review corpus with JavaScript rendering and anti-bot circumvention built in.
Extract business names, ABNs, descriptions, claimed status, and founding years directly from TrueLocal listings.
Capture phone numbers, public email addresses, and external website links. We handle click-to-reveal JavaScript elements automatically.
Extract street addresses, suburbs, states, postcodes, and embedded map coordinates for spatial analysis.
Map businesses to their primary and secondary TrueLocal categories to build accurate industry segments.
Extract full review text, star ratings, reviewer names, dates, and owner responses across paginated review sections.
Parse daily schedules, weekend availability, and public holiday trading statuses mapped to local Australian timezones.
Track organic versus sponsored positions for specific keyword and suburb combinations to monitor local SEO performance.
Identify businesses that have not yet claimed their TrueLocal profiles, providing prime targets for agency outreach.
Run one-off bulk exports of entire states or configure continuous pipelines at weekly cadences with change detection.
Brief in. Clean data out.
Provide postcodes, states, categories, or keywords. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation for AU regions, and session management.
Schema validation, null-rate checks, location mapping, and sample reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Directory sites employ rate limiting and layout variations. Here is how we maintain data integrity and avoid IP bans.
TrueLocal employs rate limiting and geoblocking. Our crawlers use Australian residential ISP proxies with realistic browser fingerprints and randomised request timing to maintain high success rates.
Contact details on TrueLocal often require user interaction to display. We run full Playwright browser sessions to execute JavaScript and trigger click-to-reveal elements, capturing data that basic HTTP clients miss.
Extracting a full category across a state requires traversing complex nested pagination. Our orchestration logic recursively crawls suburb and category indexes to ensure complete coverage without infinite loops.
Claimed profiles feature different DOM structures than unclaimed profiles. Our selector strategy uses multiple fallback chains per field to ensure accurate extraction regardless of the listing format.
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.
Sales teams extract contact details and claimed status to build targeted outreach lists for Australian SMBs.
Marketing agencies track client visibility and keyword rankings across specific suburbs and categories.
Retailers analyse business density and competitor locations by postcode to identify optimal sites for new branches.
Brands monitor customer reviews and ratings at scale to detect service issues and track sentiment trends.
Niche industry portals ingest TrueLocal data to enrich their own business listings and verify contact details.
Service providers track competitor operating hours, service offerings, and customer feedback to optimise their own positioning.
"TrueLocal holds the definitive map of Australian small businesses, but extracting accurate suburb-level directory data requires purpose-built infrastructure."
Scraping TrueLocal at scale means handling aggressive rate limits, JavaScript-rendered phone numbers, and deep pagination across thousands of Australian suburbs. DataFlirt manages the proxy rotation and extraction logic so your team can focus on using the data.
Everything supported by our truelocal.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, deduplication, and retry logic. Playwright handles JavaScript rendering and interaction flows for masked contact details.
We maintain pools of residential ISP proxies across Australian regions. Rotation happens per-request with sticky sessions where required to prevent geoblocking.
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 truelocal.com.au scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from TrueLocal is generally permissible under applicable law. DataFlirt targets only public, non-authenticated business directory and review data. We do not extract personal data behind authentication walls. Clients should review TrueLocal terms of service and consult legal counsel for specific use cases.
We use Australian residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to distribute load and avoid IP bans.
Yes. Pipelines can be configured to scrape specific suburbs, postcodes, or entire states based on your exact targeting requirements.
Yes. We utilise headless browsers to execute the necessary JavaScript functions that reveal masked phone numbers on business profile pages.
Data freshness depends on your chosen schedule. We support one-off historical dumps as well as daily, weekly, or monthly continuous updates.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per business for rating changes and new review counts.
Our smallest packages start at a defined category or suburb list with weekly delivery. For full national directory extraction, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of NSW plumbers or a continuous feed of Australian business reviews, we scope, build, and operate the pipeline. Tell us what you need.
