# GitHub Repository Search — Repos to JSON (`oblanceolate_mandola/github-repo-search`) Actor

Search GitHub repositories by keyword. Stars, language, last push, open issues, forks as JSON for developer-tooling & research AI agents. $3 per 1,000, no coding.

- **URL**: https://apify.com/oblanceolate\_mandola/github-repo-search.md
- **Developed by:** [Hassan Hashish](https://apify.com/oblanceolate_mandola) (community)
- **Categories:** Developer tools, AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## GitHub Repository Search — Repos to JSON

Search GitHub repositories by keyword or qualifier and get stars, language, activity, issues and URL as JSON — $0.003 per repo.

Whether you are vetting a dependency, tracking a competitor’s open-source, or finding tools for a build, the signal is in the repo metadata: stars, recency, issue load. This actor turns a GitHub search into structured repo records so developer and research agents can rank and vet repositories without parsing HTML.

### What this actor does

- Search GitHub repositories with full query-qualifier support (language:, stars:, topic:, …)
- Each result: full name, description, stars, language, forks, open issues, last-push + created dates, URL
- Filter by keyword/postedAfter; sorted by stars by default
- Batch many queries per run; cap spend with maxResults
- Unauthenticated (no token/setup) — best for targeted searches; large batches may hit GitHub's public rate limit

**You only pay for successful results** — failed or empty lookups cost nothing.

### Why pick this Actor

- Flat repo records with stars, forks, open issues, language, and last-push date — ranking-pipeline-ready without parsing GitHub's nested API shapes
- Per-result pricing ($0.003/result) with a hard `maxResults` spend cap — empty lookups cost $0
- Flat, stable JSON schema with `sourceUrl` + `scrapedAt` on every item — citation-ready for RAG and grounding
- Batch many queries in one run; overlapping results are deduplicated and charged once
- MCP server, OpenAPI schema, and LangChain/CrewAI tool support out of the box — no glue code

### Sample output

Each dataset item is flat, typed JSON with a `sourceUrl` and `scrapedAt` for citation/grounding:

```json
{
  "query": "ai agent",
  "source": "github",
  "title": "NousResearch/hermes-agent",
  "stars": 190459,
  "language": "Python",
  "pushedAt": "2026-06-11T09:30:15.000Z",
  "url": "https://github.com/NousResearch/hermes-agent",
  "sourceUrl": "https://api.github.com/search/repositories?q=ai+agent",
  "scrapedAt": "2026-06-11T09:00:00.000Z"
}
````

### Input

```json
{"queries":["ai agent"]}
```

| Field | Type | Description |
|---|---|---|
| `queries` / `query` | array / string | GitHub search query. One or many. |
| `maxResults` | integer | Hard spend cap (billed per result). |
| `keywords` / `postedAfter` | filters | Narrow results; enable delta/scheduled runs. |

### How much does it cost

Pay-per-result: **$0.003 per successful result.** No subscription, no compute-unit guesswork, no charge for empty results. An orchestrator can cap spend with `maxResults`.

### How to use it with AI agents (MCP), Claude, and the API

#### Claude Desktop / Claude Code via Apify MCP

```json
{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": ["-y", "@apify/actors-mcp-server", "--actors", "oblanceolate_mandola/github-repo-search"],
      "env": { "APIFY_TOKEN": "<YOUR_APIFY_TOKEN>" }
    }
  }
}
```

#### Python (Apify API)

```python
from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("oblanceolate_mandola/github-repo-search").call(run_input={"queries":["ai agent"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### TypeScript (Apify API)

```ts
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('oblanceolate_mandola/github-repo-search').call({"queries":["ai agent"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### LangChain / CrewAI tool

```python
from langchain_apify import ApifyActorsTool
tool = ApifyActorsTool("oblanceolate_mandola/github-repo-search")  # agent calls it autonomously
```

OpenAPI schema for self-integrating GPT agents is auto-exposed at the Actor's API tab.

### Data & compliance

Reads only publicly accessible endpoints. No login, no credential harvesting, no CAPTCHA bypass. Every result carries its `sourceUrl` so downstream agents can cite and re-verify.

### FAQ

#### Do I need a GitHub account or token?

No — this actor uses GitHub's public unauthenticated search, so there is no setup. Public search is rate-limited (~10 requests/min), which is plenty for targeted queries; for very large batches, run them in smaller scheduled chunks.

#### Can I use search qualifiers?

Yes — anything GitHub search supports, e.g. "language:go stars:>500 pushed:>2026-01-01".

#### How are results ordered?

By stars, descending, so the most prominent repositories come first.

#### Can AI agents call this Actor directly?

Yes — via the Apify MCP server (snippet above), the OpenAPI schema on the Actor's API tab, or the LangChain/CrewAI tool wrapper. Results are flat JSON with `sourceUrl` and `scrapedAt` on every item, so downstream agents can cite and re-verify.

#### What happens when there are no results?

You pay nothing. Billing is per dataset item delivered, so an empty lookup costs $0, and the run log states why (no match, source rate limit) instead of failing silently.

### Changelog

- **1.0** — Initial release: github.

# Actor input Schema

## `queries` (type: `array`):

A GitHub repository search query — keywords plus optional qualifiers, e.g. "ai agent", "language:rust stars:>1000", "topic:rag". Pass several to batch them in one run. Either this or "query" is required.

## `query` (type: `string`):

Single-value convenience alias for "queries". A GitHub repository search query — keywords plus optional qualifiers, e.g. "ai agent", "language:rust stars:>1000", "topic:rag".

## `maxResults` (type: `integer`):

Hard cap on results across all queries — bounds spend programmatically (you are billed per result). Note: each query returns at most one page from the source (typically 50–100 results); pass multiple queries to gather more.

## `keywords` (type: `array`):

Only return results whose title/department/team contains one of these as a whole word (case-insensitive) — "ai" matches "AI Engineer" but not "Maintenance".

## `postedAfter` (type: `string`):

Only return results posted on/after this ISO date (strictly YYYY-MM-DD, e.g. 2026-01-01; anything else fails the run). Items with no posted date are excluded. Enables incremental/delta scheduled runs.

## `proxyConfiguration` (type: `object`):

Most sources are public JSON APIs needing no proxy. Configure only if a source geo-restricts.

## Actor input object example

```json
{
  "queries": [
    "ai agent"
  ],
  "maxResults": 50
}
```

# Actor output Schema

## `results` (type: `string`):

Structured result rows in the default dataset (clean JSON).

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "ai agent"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("oblanceolate_mandola/github-repo-search").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "queries": ["ai agent"] }

# Run the Actor and wait for it to finish
run = client.actor("oblanceolate_mandola/github-repo-search").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "ai agent"
  ]
}' |
apify call oblanceolate_mandola/github-repo-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=oblanceolate_mandola/github-repo-search",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "GitHub Repository Search — Repos to JSON",
        "description": "Search GitHub repositories by keyword. Stars, language, last push, open issues, forks as JSON for developer-tooling & research AI agents. $3 per 1,000, no coding.",
        "version": "1.0",
        "x-build-id": "dFMyGmbeIbg5i9l22"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/oblanceolate_mandola~github-repo-search/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-oblanceolate_mandola-github-repo-search",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/oblanceolate_mandola~github-repo-search/runs": {
            "post": {
                "operationId": "runs-sync-oblanceolate_mandola-github-repo-search",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/oblanceolate_mandola~github-repo-search/run-sync": {
            "post": {
                "operationId": "run-sync-oblanceolate_mandola-github-repo-search",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "queries": {
                        "title": "GitHub search query (one or more)",
                        "type": "array",
                        "description": "A GitHub repository search query — keywords plus optional qualifiers, e.g. \"ai agent\", \"language:rust stars:>1000\", \"topic:rag\". Pass several to batch them in one run. Either this or \"query\" is required.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "query": {
                        "title": "GitHub search query (single)",
                        "type": "string",
                        "description": "Single-value convenience alias for \"queries\". A GitHub repository search query — keywords plus optional qualifiers, e.g. \"ai agent\", \"language:rust stars:>1000\", \"topic:rag\"."
                    },
                    "maxResults": {
                        "title": "Max results",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Hard cap on results across all queries — bounds spend programmatically (you are billed per result). Note: each query returns at most one page from the source (typically 50–100 results); pass multiple queries to gather more.",
                        "default": 50
                    },
                    "keywords": {
                        "title": "Filter: keywords",
                        "type": "array",
                        "description": "Only return results whose title/department/team contains one of these as a whole word (case-insensitive) — \"ai\" matches \"AI Engineer\" but not \"Maintenance\".",
                        "items": {
                            "type": "string"
                        }
                    },
                    "postedAfter": {
                        "title": "Filter: posted after (ISO date)",
                        "type": "string",
                        "description": "Only return results posted on/after this ISO date (strictly YYYY-MM-DD, e.g. 2026-01-01; anything else fails the run). Items with no posted date are excluded. Enables incremental/delta scheduled runs."
                    },
                    "proxyConfiguration": {
                        "title": "Proxy (optional)",
                        "type": "object",
                        "description": "Most sources are public JSON APIs needing no proxy. Configure only if a source geo-restricts."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```