The data infrastructure for SEO and AI search

Bright Data’s Scraper APIs are fully managed data collection endpoints designed for scale. Instead of building and maintaining your own scrapers, you simply submit your keywords or prompts to our API. We handle the proxy routing, browser rendering, CAPTCHA solving, and parsing, returning clean, structured JSON or CSV data from traditional search engines (SERP API) and AI answer engines (LLM Scrapers).

Both the SERP API and LLM Scraper APIs are built on a 400M+ IP proxy network with automated browser fingerprinting, cookie management, and session handling. The infrastructure features built-in CAPTCHA solving, IP rotation, and an auto-retry system, ensuring uninterrupted data extraction even during aggressive anti-bot updates.

The SERP API extracts traditional search engine results (organic rankings, paid ads, local packs, and AI Overviews) from Google, Bing, Yandex, and DuckDuckGo. The LLM Scraper APIs extract fully rendered, generative answers from AI engines (ChatGPT, Gemini, Perplexity, Copilot), capturing citations, shopping signals, and Markdown text. Both use cases share the same delivery infrastructure.

Vendor APIs return sanitized "API-mode" responses that differ from what real users experience. Our Web UI capture extracts the fully rendered interface. For SERPs, this means seeing actual ad placements and local packs. For LLMs, it means capturing critical GEO signals like citations, shopping cards, query fan-out behavior, and platform-specific personalization.

Results from both APIs are normalized and delivered in JSON, NDJSON, or CSV formats. SERP data includes rank, title, URL, description, and ad metrics. LLM data includes up to 25 metadata fields, including answer text (HTML/Markdown), citations, source URLs, recommendations, shopping signals, and timestamps.

Unlike vendor APIs that impose strict rate limits, our infrastructure is built for production scale. You can run up to 5,000 simultaneous requests. For massive workloads (e.g., millions of monthly requests), we highly recommend asynchronous batching to maximize overall throughput and efficiency.

Yes. For traditional SERP requests, you can target search results down to the city and ZIP code level. For LLM scraping, you can run prompts with strict country and language-level targeting, allowing you to simulate AI visibility exactly as it appears to users in specific international markets.

Both SERP and LLM data pipelines support flexible, cloud-native delivery. You can pull data via direct REST API download, or configure automated delivery to webhooks, Amazon S3, Google Cloud Storage (GCS), Azure Blob, or SFTP.

Yes. For traditional SERP tracking, you can define your keyword lists, location parameters, and frequency to run automated daily or weekly tracking jobs. For AI visibility, you can set up asynchronous batch runs to repeatedly test your prompt sets across multiple LLMs over time.

All data is collected exclusively from publicly accessible, unauthenticated web interfaces. Bright Data operates under industry-leading security and compliance standards: the platform is GDPR-ready, CCPA-compliant, ISO 27001 certified, SOC 2 Type II certified, and CSA STAR Level 1 certified. Full compliance documentation is available upon request.