We extract classified listings, vehicle prices, property details, and seller profiles from Tonaton. 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 Vehicle Listings objects from tonaton.com. All fields typed and schema-versioned.
"listing_id": "TN-849201", "title": "Toyota Corolla 2018 for sale", "price": 125000.0, "currency": "GHS", "brand": "Toyota", "model": "Corolla", "year_of_manufacture": 2018, "transmission": "Automatic", "location": "Accra > East Legon"
| # | listing_id | title | price | currency | condition | brand |
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Complete list of extractable fields for Property Data objects from tonaton.com. All fields typed and schema-versioned.
"listing_id": "TN-993821", "title": "4 Bedroom House for Rent", "price": 4500.0, "currency": "GHS", "property_type": "House", "bedrooms": 4, "bathrooms": 3, "location": "Kumasi > Ahodwo", "seller_name": "Osei Properties"
| # | listing_id | title | price | currency | property_type | bedrooms |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Electronics objects from tonaton.com. All fields typed and schema-versioned.
"listing_id": "TN-772104", "title": "Apple iPhone 13 Pro Max", "price": 8500.0, "currency": "GHS", "brand": "Apple", "model": "iPhone 13 Pro Max", "condition": "Used", "location": "Accra > Osu", "authenticity": "Original"
| # | listing_id | title | price | currency | condition | brand |
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Complete list of extractable fields for Seller Profiles objects from tonaton.com. All fields typed and schema-versioned.
"seller_id": "USR-44921", "seller_name": "Kwame Motors", "member_since": "2019-04-12", "verified_status": true, "active_ads": 42, "location": "Accra", "phone_number": "+233540000000", "last_active": "2026-05-10T14:22:00Z"
| # | seller_id | seller_name | member_since | verified_status | total_ads | active_ads |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Job Listings objects from tonaton.com. All fields typed and schema-versioned.
"listing_id": "TN-332910", "title": "Senior Sales Executive", "company_name": "TechGrow Ghana", "location": "Accra > Spintex", "job_type": "Full Time", "salary_min": 3000.0, "salary_max": 5000.0, "currency": "GHS", "posted_date": "2026-05-11"
| # | listing_id | title | company_name | location | job_type | salary_min |
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Our Tonaton scraper handles category navigation, pagination limits, and JavaScript-rendered phone reveals to extract structured listings across all major verticals.
Capture make, model, year, mileage, transmission, and condition for every car listing to build accurate pricing models.
Extract bedrooms, bathrooms, square footage, and exact neighborhood data for residential and commercial real estate.
Automated Playwright interaction to click and capture JavaScript-protected contact numbers on listing pages.
Track member since dates, verified badges, and active ad counts to score seller reliability and identify professional dealers.
Extract brand, model, condition, and pricing data across mobile phones, computers, and home appliances.
Pull company names, job types, salary ranges, and application requirements from the employment category.
Parse region, city, and specific neighborhood hierarchies for accurate spatial analysis of market trends.
Extract high-resolution image URLs for every listing to support visual verification and machine learning models.
Run daily or weekly pipelines to track new listings, price drops, and sold statuses using hash-based change detection.
Brief in. Clean data out.
Provide target categories, regions, or specific seller profiles. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, regional proxies, and interaction scripts for phone number reveals.
Schema validation, null-rate checks, and location parsing accuracy tests before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Classified sites employ strict rate limits and bot protection. Here is how our infrastructure maintains continuous extraction.
Tonaton protects user contact details behind a JavaScript click event to prevent basic scraping. We execute full Playwright sessions to trigger these events and capture the rendered DOM elements containing the phone numbers.
Aggressive crawling triggers Cloudflare blocks and IP bans. We use residential proxies geographically distributed to mimic authentic user traffic, strictly controlling request concurrency per IP.
Many classifieds limit pagination to the first 50 or 100 pages. We bypass this by programmatically generating highly specific sub-category and location filter combinations to ensure full catalogue extraction.
User-generated content is inherently messy. Our pipeline includes post-processing steps to normalise price formats, categorise vehicle mileage into standard bands, and map custom locations to a unified geographic hierarchy.
We maintain a hash index of active listings. Subsequent pipeline runs compare current state against this index to emit only new listings, price modifications, or removed (sold) items, reducing downstream processing costs.
Auto dealerships and insurance companies track market values, depreciation curves, and inventory velocity for specific makes and models.
Property developers and investors monitor rental yields, price per square meter, and neighborhood demand trends across major cities.
Service providers extract verified business profiles and contact numbers to build targeted outreach lists for commercial services.
Retailers track competitor pricing and inventory levels in the electronics and appliances categories to adjust their own market positioning.
Economists and analysts use classifieds listing volume and asking prices as high-frequency indicators of consumer health and inflation.
Marketplaces and financial institutions cross-reference seller profiles and listing patterns to identify syndicated scam operations.
"Tonaton represents the digital pulse of Ghana's consumer economy, containing critical pricing signals across real estate, vehicles, and retail."
Extracting data from major classifieds portals requires managing session state, rendering JavaScript for contact details, and rotating IPs to defeat rate limits. DataFlirt abstracts this infrastructure, delivering clean, warehouse-ready listings while you focus on market analysis.
Everything supported by our tonaton.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 proxies to ensure high success rates against regional bot protection. Rotation happens per-request with sticky sessions for complex interactions.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 tonaton.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We use headless browser automation to trigger the 'Click to show' element on listing pages, capturing the underlying phone number text. This process is rate-limited by the platform, so we scale it using distributed proxy pools.
Tonaton restricts visibility of listings beyond a certain page depth on broad categories. We bypass this by programmatically generating highly specific queries (combining sub-categories, price brackets, and exact locations) to ensure we extract the complete catalogue without hitting pagination walls.
Yes. We can configure targeted pipelines to monitor a specific set of listing URLs or seller profiles at high frequency, recording a time-series history of price adjustments and availability.
Classifieds platforms typically remove listings once sold. We can only extract currently active listings. However, once a pipeline is commissioned, we retain a historical database of all listings we have observed, allowing you to infer sold status when a listing disappears.
Yes. Pipelines can be scoped to specific geographic regions (e.g., Greater Accra, Ashanti) or exact neighborhoods to reduce data volume and focus on your target market.
For continuous monitoring pipelines targeting specific categories, we can achieve sub-60-minute latency from the time a listing is published to delivery via webhook or database insert.
We extract the high-resolution image URLs by default. If required, we can download the binary image files and deliver them directly to your S3 bucket alongside the structured metadata.
User-submitted locations can be inconsistent. We map raw location strings against a predefined geographic hierarchy for Ghana, ensuring your final dataset has clean, queryable region and city columns.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily vehicle price feed or a complete real estate market dump — we scope, build, and operate the pipeline. Tell us what you need.
