Developer guides
Crawlora Integrations
Connect Crawlora's structured public web data APIs to AI agents, LangChain workflows, MCP tools, backend services, scripts, and data pipelines.
Verified HTTP pattern
POST /google/search
Request
POST https://api.crawlora.net/api/v1/google/search
x-api-key: $CRAWLORA_API_KEY
Content-Type: application/json
{
"country": "us",
"keyword": "best CRM software",
"language": "en",
"limit": 10,
"page": 1
}Base URL
https://api.crawlora.net/api/v1
Auth header
x-api-key
Example endpoint
POST /google/search
Use Crawlora as a structured public web data source in frameworks, agents, tools, and backend workflows.
Developer workflow
Integration cards
LangChain
Build custom tools, loaders, and retrieval ingestion flows.
Open guideOpenAI Agents
Expose Crawlora endpoints as callable tools for agent workflows.
Open guideAI agents
Design structured web data tools for agent planning and summarization.
Open guideMCP
Use MCP-style tooling around supported Crawlora endpoints.
Open guideTypeScript
Call Crawlora with server-side fetch.
Open guidePython
Use requests in scripts, notebooks, and pipelines.
Open guideGo
Build bounded workers with net/http.
Open guidecURL
Test endpoints directly from the terminal.
Open guideDeveloper workflow
What Crawlora adds to AI workflows
Structured JSON
Use normalized fields instead of raw HTML as the primary input.
Open guidePlatform-specific schemas
Route each task to an endpoint designed for the source platform.
Open guideBrowser-backed execution
Use rendered execution where supported.
Open guideProxy-aware execution
Keep proxy routing outside application logic.
Open guideTransparent failure context
Surface unusable upstream states instead of hiding them.
Open guideCredit visibility
Track usage and pricing impact as integrations scale.
Open guideDeveloper workflow
Common agent workflows
- Search research.
- Local business research.
- App review analysis.
- Creator intelligence.
- YouTube transcript summarization.
- Product monitoring.
- Startup research.
Responsible public web data workflows
Use Crawlora for structured public web data workflows. Customers are responsible for compliance with applicable laws, third-party rights, platform rules, and Crawlora terms. Keep API keys server-side, validate inputs, and avoid collecting or storing unnecessary sensitive data.
Read Crawlora termsDeveloper workflow
Related developer links
Use these pages to move between endpoint discovery, examples, pricing, and responsible-use guidance.
Developer workflow
FAQ
Common questions for this Crawlora developer integration path.
What can I integrate Crawlora with?
Use Crawlora with HTTP clients, backend services, scripts, data pipelines, LangChain-style tools, MCP workflows, and AI-agent tool calls.
Can Crawlora be used with LangChain?
Yes. Wrap Crawlora HTTP calls as custom tools, loaders, or ingestion steps.
Can Crawlora be used with OpenAI Agents?
Yes. Expose narrow Crawlora API calls as callable tools in your agent layer.
Can Crawlora be exposed through MCP?
Yes. Use Crawlora's MCP-ready metadata where supported or create a lightweight MCP wrapper around HTTP endpoints.
Is Crawlora better than browser browsing for AI agents?
For repeatable workflows, normalized JSON is easier to validate, summarize, and store than arbitrary page HTML.
How do credits work in integrations?
Crawlora uses credit-based usage, with successful 2xx responses consuming credits according to endpoint rules where applicable.
Where can I find example code?
Use the SDK guides, cURL examples, and integration pages linked from this index.
Next step
Build your first integration
Choose an endpoint, test it, then wrap it as a backend call or agent tool.