Total: $0/7 Days
SERP API for AI & LLM Data Workflows
No complex setup. No manual parsing. Collect real-time, structured search result data via a single, simple API—powering AI applications, RAG pipelines, AI Agents, LLM workflows, research tools, and search-enhanced products.
- Integrate Real-Time SERP Data into AI Workflows
- Supports RAG, AI Agents, and LLM Applications
- No Blocks or CAPTCHA Interruptions
- Structured JSON / HTML Output
POST /v1/serp/search { "engine": "google", "q": "latest AI search trends", "location": "New York, US", "hl": "en", "device": "desktop", "num": 10 }
Get Real-Time Search Data for AI Applications
AI and LLM applications often need the latest information beyond static training data. Search results can provide timely web context, source URLs, snippets, related queries, and topic signals to help AI systems retrieve and analyze current information. Talordata SERP API helps AI teams collect real-time search results at scale, so your applications can access the latest SERP data for search augmentation, research, monitoring, and automated analysis.
Real-time search results from major search engines
Real-time search results from major search engines
Fresh web context for AI-generated content
Fresh web context for AI-generated content
Source URLs, snippets, and related queries
Source URLs, snippets, and related queries
Structured SERP data ready to plug into AI pipelines
Structured SERP data ready to plug into AI pipelines
Support RAG, AI Agent, and LLM Workflows
SERP data is more than a list of search results. It includes signals such as ranking positions, page titles, URLs, snippets, related questions, news results, and shopping results, helping AI systems discover relevant sources and understand user intent. With Talordata SERP API, your team can continuously collect structured search data and connect it to RAG systems, AI assistants, AI Agents, LLM workflows, research platforms, and internal knowledge tools.
Connect search results to RAG pipelines
Connect search results to RAG pipelines
Provide AI Agents with real-time web search context
Provide AI Agents with real-time web search context
Discover source pages, snippets, and related questions
Discover source pages, snippets, and related questions
Build LLM applications on structured SERP data
Build LLM applications on structured SERP data
What changed in AI search this week?
Which sources explain RAG evaluation?
SERP Data for AI and LLM Workflows
Organic Results
Collect titles, URLs, snippets, ranking positions, and source pages for AI search augmentation and research.
News Results
Get the latest news headlines, publishers, and article links for real-time monitoring and topic tracking.
People Also Ask
Discover common user questions and related intent to improve AI answer coverage and query understanding.
Related Searches
Find related queries and topic variations for research, content expansion, and retrieval planning.
Shopping Results
Collect product visibility, pricing, sellers, ratings, and inventory data for AI-driven ecommerce workflows.
Local Search Results
Analyze businesses, locations, ratings, reviews, and map results for location-aware AI applications.
How Talordata SERP API Works
Get SERP data in JSON or HTML, ready for AI workflows.
Step 1: Send a Search Request
Submit your query, search engine, location, language, device, and result type through a simple API request.
Step 2: Talordata Handles Access and Retrieval
The API handles search access, localization, anti-blocking challenges, CAPTCHA-solving, and result retrieval behind the scenes.
Step 3: Get Structured SERP Data
Get SERP data in JSON or HTML, ready for AI workflows.
import requests # Track AI retrieval queries keywords = ["AI search grounding", "RAG pipeline"] for kw in keywords: res = requests.post( "https://api.talordata.com/v1/serp", json={ "engine": "google", "q": kw, "location": "United States", "num": 20, }, ) data = res.json() results = data["organic_results"] print(f"{kw}: {len(results)} results")
RAG pipeline: 20 results
SERP API
Get real-time search engine results data without worrying about proxy management or anti-scraping blocks.
Total: $27/30 Days
Total: $70/30 Days
Total: $300/30 Days
Total: $1350/30 Days
Total: $2500/30 Days
Need a Larger Package?
Contact our expert for a custom plan.
- Data integrity verification
- High concurrency customization
- Custom data fields
- Dedicated account manager
- QPS Dynamic Scalability
- Custom monitoring and alerting
Why Choose Talordata SERP API for AI and LLM Workflows
Talordata helps AI teams collect search data reliably without building their own scraping, proxy, CAPTCHA handling, and parsing systems.
Real-Time Search Data
Get the latest SERP data for AI and LLM applications that need current web context.
No Need to Worry About CAPTCHAs and Blocking
Talordata’s global proxy pool and built-in CAPTCHA handling help keep data collection stable and uninterrupted.
Structured Data Ready for AI Pipelines
Receive parsed SERP data in JSON or HTML format and plug it directly into RAG systems, AI Agents, databases, and analytics workflows.
Only Pay for Successful Requests
You only pay for successful requests, so your budget is not wasted.
Developer-Friendly Integration
Integrate quickly with simple API requests, clear parameters, and code examples.
Flexible for AI Teams and Platforms
Start with a free trial and scale with custom plans as your query volume, market coverage, and data needs grow.
More Use Cases
Talordata SERP API also supports more business data collection scenarios.
SEO Rank Tracking
Track keyword rankings across locations, devices, and languages.
E-commerce Price Monitoring
Monitor product prices, sellers, ratings, and shopping search visibility.
Local Search Intelligence
Analyze local rankings, map results, business profiles, and reviews.
Market and Competitor Research
Understand competitors, content gaps, demand trends, and changes in search behavior.
Start using Talordata SERP API
to build AI workflows
Start using Talordata SERP API to get real-time SERP data and build AI workflow