ScraperAPI has acquired Traject Data
ScraperAPI has acquired Traject Data
Pricing, ops, and product teams run on web data. ScraperAPI delivers it fresh, structured, and ready to use, at the volume your business needs, without the engineering overhead.
Custom volume, dedicated support, and a tailored evaluation.
Trusted by enterprise teams thriving on web data at scale
Tell us the sources, the cadence, and the destination. ScraperAPI handles the entire pipeline (collection, normalisation, and delivery) so your team focuses on the business, not on keeping scrapers alive.
Your pricing, ops, and commercial teams need to trust the data they’re making decisions from. ScraperAPI is built with that dependency in mind: enterprise SLAs, zero reported outages, and a support team that responds in under an hour when it matters.
Prices, availability, and listings vary significantly by region. ScraperAPI collects data from 150+ countries using a pool of 50M+ proxies, down to the zip code, so your platform always shows localised, accurate intelligence, not averaged or approximated data.
Every data point arrives as normalised JSON with consistent schemas across all supported sources. No parsing, no cleaning, no transformation step. Your data analysts and BI teams connect their tools and start working immediately. When a retailer changes their layout, we absorb it. Your schemas never break.
Choose the approach that fits your team. Self-serve our APIs, or pair with professional
services for managed and custom data delivery.
Structured data endpoints for every major retailer. Amazon, Walmart, Target, Lowe’s, Home Depot, eBay, with consistent schemas and offer-level detail across all sources.
Need data from a source outside our standard coverage? We build custom extraction for specialized marketplaces, regional listing sites, and vertical platforms, including real estate, travel, and food delivery.
Tell us the sources, cadence, and destination. We build, run, and maintain the entire collection pipeline. Clean structured data delivered automatically to your stack.
Dedicated support team
A named account team, not a ticket queue. Your data pipelines are mission-critical, we treat them that way.
Slack support channel
Direct access to our engineering team. When your pricing feed matters to your customers, we operate at the same urgency.
100% compliant & ethically sourced
All data collected ethically and compliant with applicable laws. Governance documentation included for enterprise procurement.
150+ countries, 50M+ proxies
Localised data collection from every major market, as a local customer would see it, not averaged across regions.
Powerful scraping tools
All our tools are designed to simplify data collection at mass scale, without your team firefighting blocks or layout changes.
Designed for scale
Scale your data pipelines while keeping a near-perfect success rate. Burst capacity available for event-driven peaks.
One of the most frustrating parts of automated web scraping is constantly dealing with IP blocks and CAPTCHAs. ScraperAPI gets this task off your shoulders.
based on 50+ reviews
Get started
Talk to our enterprise team about your custom dataset. Or start with 5,000
free credits and see the data quality for yourself.
From pricing teams, ops leads, and product managers evaluating ScraperAPI for their business.
Teams choose ScraperAPI because building scrapers is straightforward, but maintaining them at scale is a permanent engineering cost that grows with every new market, retailer update, and anti-bot change. Teams that move to ScraperAPI typically redirect 1 to 2 engineers back to product roadmap work within the first month. The data infrastructure problem doesn’t disappear, it shifts to us, so your team focuses on the insights and decisions that actually drive your business.
ScraperAPI absorbs that work behind the scenes. Our team maintains schemas internally across every supported source, so when a target site updates its HTML, the JSON your team receives stays exactly the same. Your dashboards, reports, and downstream systems keep working without intervention.
ScraperAPI customers consistently report up to 95% accuracy, independently verified against their own systems. Because data arrives as structured JSON rather than raw HTML, schema consistency is the differentiator: your team isn’t spending time cleaning, deduplicating, or validating before they can use it.
Most teams integrate ScraperAPI within a few days. Enterprise customers get a dedicated solutions engineer who scopes the data sources, sets up cloud destinations, and runs a proof-of-concept against your real workload before you commit to volume.
Out of the box, ScraperAPI supports Amazon, Walmart, Target, Home Depot, Lowe’s, eBay, Google Search, Google Shopping, Bing, Yahoo, plus real estate portals like Redfin. For sources outside our standard coverage (regional marketplaces, vertical platforms, custom data) our enterprise team builds tailored extraction as part of the engagement.
