by oxylabs
Turn plain English queries into structured web data, featuring automated markdown extraction and full JavaScript rendering for dynamic websites.
# Add to your Claude Code skills
git clone https://github.com/oxylabs/AI-Search-pyLast scanned: 7/12/2026
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"issues": [],
"status": "PASSED",
"scannedAt": "2026-07-12T06:31:50.938Z",
"npmAuditRan": true,
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}AI-Search-py is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by oxylabs. Turn plain English queries into structured web data, featuring automated markdown extraction and full JavaScript rendering for dynamic websites. It has 109 GitHub stars.
Yes. AI-Search-py passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/oxylabs/AI-Search-py" and add it to your Claude Code skills directory (see the Installation section above).
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh AI-Search-py against similar tools.
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The AI-Search app by Oxylabs AI Studio is a web search tool that allows developers to retrieve search results, optionally scrape them, and handle JavaScript-rendered content with ease. It is built to act as an intelligent search agent that simplifies the process of extracting relevant information directly into your Python applications.
Whether you need a simple list of URLs or deep content extraction, AI Search removes the complexity of building custom search scrapers from scratch.
To use the search agent, follow these simple steps:
TTo begin, be sure you have access to an API key (or get a free trial with 1,000 credits) and Python 3.10+ installed. You can install the oxylabs-ai-studio package using pip:
pip install oxylabs-ai-studio
The following example demonstrates how to use the AI-Seaerch agent for data retrieval scenarios.
from oxylabs_ai_studio.apps.ai_search import AiSearch
search = AiSearch(api_key="<API_KEY>")
query = "lasagna recipes"
result = search.search(
query=query,
limit=5,
render_javascript=False,
return_content=True,
)
print(result.data)
Learn more about AI-Search and Oxylabs AI Studio Python SDK in our PyPI repository. You can also check out our AI Studio JavaScript SDK guide for JS users.
| Parameter | Description | Default Value |
|---|---|---|
query |
What to search for | Required |
limit |
Maximum number of results to return (Maximum: 50) | 10 |
render_javascript |
Enable render JavaScript | False |
return_content |
Whether to return markdown contents in results | True |
geo_location |
Proxy location in ISO2 format | – |
Note: When limit <= 10 and return_content=False, the search automatically uses the instant endpoint (/search/instant) which returns results immediately without polling, providing faster response times.
[
{
"url": "https://www.spendwithpennies.com/easy-homemade-lasagna/",
"title": "Easy Homemade Lasagna Recipe - Spend With Pennies",
"description": "Rating 5.0 (3,349) · 1 hr 45 min This is the best LASAGNA RECIPE! Pasta, an easy meat sauce, and ricotta cheese are layered and then topped with more cheese before baking.",
"content": null
},
{
"url": "https://www.simplyrecipes.com/recipes/lasagna/",
"title": "The Best Homemade Lasagna - Simply Recipes",
"description": "Rating 4.9 (115) · 1 hr 45 min This classic lasagna recipe is made with an easy meat sauce as the base. Layer the sauce with noodles and cheese, then bake until bubbly!",
"content": null
},
{
"url": "https://www.seriouseats.com/12-lasagna-recipes-11808722",
"title": "12 Must-Try Lasagna Recipes Featuring Crispy Edges and Gooey ...",
"description": "Whether you have a taste for meaty classics like a lasagna alla Bolognese or an indulgent creamy vegetarian spinach lasagna, we've rounded up our favorite ...",
"content": null
},
{
"url": "https://bakerbynature.com/the-best-homemade-lasagna-recipe/",
"title": "The Best Easy Homemade Lasagna Recipe - Baker by Nature",
"description": "Rating 5.0 (71) · 2 hr 45 min Dec 12, 2025 · This is the ONLY lasagna recipe you'll ever need... from perfectly cooked noodles to rich tomato sauce and layers of cheese.",
"content": null
},
{
"url": "https://www.allrecipes.com/recipe/23600/worlds-best-lasagna/",
"title": "World's Best Lasagna Recipe (with Video) - Allrecipes",
"description": "Rating 4.8 (20,950) · 3 hr 15 min Feb 5, 2026 · This lasagna recipe from John Chandler is our most popular recipe! With sausage, ground beef, basil, and 3 types of cheese, it lives up to ...",
"content": null
}
]
AI-Search can be applied to a wide variety of data discovery and collection tasks:
If you don't need to extract the full page content, you can use the instant_search method (as shown in the first example) or set return_content=False in the standard search method. This bypasses the deep scraping process and returns your search results almost instantly.
Yes, you can use the geo_location parameter to localize your search results. It supports ISO 2-letter country codes (e.g., US, DE), full country canonical names, or specific geographic coordinates, allowing you to see exactly what users in that region see.
Some modern websites rely heavily on JavaScript to load their content dynamically (like Single Page Applications). If the returned content snippet is empty or missing data, try setting render_javascript=True in your request. This tells the search agent to fully render the page like a real browser before extracting the text.
You can retrieve up to 50 search results per query by adjusting the limit parameter. If you do not specify a limit, the search agent will return 10 results by default.
For a deeper dive into available parameters, advanced integrations, and additional examples, check out the AI Studio documentation.
If you have questions or need support, reach out to us at support@oxylabs.io, or through live chat, accessible via Oxylabs Dashboard, or join our Discord community. For enterprise-related inquiries, contact your dedicated account manager.