How to integrate Talordata with Dify
Learn how to integrate Talordata with Dify so your AI applications can retrieve real-time search engine data through SERP API.
An intelligent search data plugin powered by the Talordata SERP API, enabling Dify workflows to rapidly retrieve structured search results from engines such as Google, Bing, Yandex, and DuckDuckGo. It supports various SERP data types—including standard search results, news, images, shopping listings, and local results—making it suitable for use cases such as SEO analysis, AI agent retrieval, market research, and content research.
Available tools
Search Engine Results
Obtain structured search results from mainstream search engines:
Google Search
Bing Search
Yandex Search
DuckDuckGo Search
SERP Data Modules
Retrieve different types of search result data:
News Results: Google News、Bing News
Image result: Google Images、Bing Images
Video results: Google Videos、Bing Videos
Shopping results: Google Shopping、Bing Shopping
Local results: Google Local、Google Maps
Recruitment results: Google Jobs
Hotel and flight results: Google Hotels、Google Flights
Trends and Scholar Results: Google Trends、Google Scholar
Search Result as Structured Data
Convert search results into clean, structured data ready for direct processing by LLMs—suitable for:
AI Q&A Retrieval
RAG Data Augmentation
Competitor Analysis
Content Summarization
Search Result Comparison
SEO Ranking Monitoring
Use Cases
SEO Analysis: Track keyword rankings, competitor pages, and changes in search results
AI Agent Retrieval: Enable AI agents to access real-time search engine results
Content Research: Gather news, articles, blog posts, and industry materials
Market Research: Monitor brands, competitors, products, and industry trends
Local SEO: Analyze local search results across different cities
E-commerce Monitoring: Retrieve shopping search results, product titles, prices, and rankings
Sentiment & Trend Monitoring: Track search results for brand terms, industry keywords, and trending events
How to integrate Talordata with Dify
Install plugin
Install the Talordata SERP API plugin from the Dify Plugin Marketplace or via the GitHub link.
Once installation is complete, you can utilize Talordata's search capabilities within Dify Workflow to integrate real-time search results into your AI applications.
Get Talordata API Token
- Log in to your Talordata Dashboard - Go to the SERP API API Token page - If you haven't created one yet, please generate a new API key. - Copy the API Key to complete authorization within the Dify plugin.
Create your first workflow
Go to the Dify Studio → Workflow
Create a new workflow
Add any Talordata SERP API tool, such as:
Search Engine — Get search results from Google, Bing, Yandex, DuckDuckGo
Enter your API Token when prompted
Connect an LLM node to summarize, analyze, or restructure search results.
Finally, connect to the END node and output the processed results.
Example workflow
Example use case: Search for a specific keyword and have the LLM generate a brief analysis report.
Workflow Example
START → Input: Keywords
Talordata Search Engine → Get search results
LLM → Analyze search results to extract key insights, primary sources, and rankings.
END → Output: Structured search analysis report
Important Notice
Each step in the workflow should reference the output of the previous step.
If the input keywords are long, it is recommended to set the input field type to "short paragraph."
If you need to analyze multiple keywords, you can use a loop node or batch input.
For localized search, please configure parameters such as country, language, city, and device.
Advanced Options: Use Talordata MCP Server
In addition to invoking the Talordata SERP API in Dify via plugins or HTTP Request nodes, advanced users can also integrate using the Talordata MCP (Model Context Protocol).
Talordata MCP encapsulates the search capabilities of the SERP API into MCP tools that can be invoked by AI tools. This enables Dify workflows or external agents to seamlessly access search data capabilities—such as real-time search, result analysis, ranking comparisons, and competitor monitoring.
In Dify, you can invoke Talordata MCP using custom tools, HTTP request nodes, or external service nodes, and then pass the data returned by the MCP to an LLM node for further processing.
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