GitHub Repository Language Breakdown Analyzer: fields and price

What it returns

9 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

fullName
language
languagesBreakdown
stars
forks
contributorCount
topics
pushedAt
repoUrl

Not in the schema among the core GitHub fields: repo, description, updated_at. The field matrix shows which other tools return them.

How it differs from the other GitHub Actors

Every field it publishes also appears in at least one of the other 3 catalogue Actors for GitHub with a schema, so pick on price, input options and the fields below.

Pick another Actor if you need

Fields other GitHub catalogue Actors return that GitHub Repository Language Breakdown Analyzer does not
Actor	Fields it adds	Price / 1K
GitHub Repository Metadata & README Extractor	htmlUrl, description, watchers, subscribersCount	$0.99
GitHub Weekly Trending Repos & Org Repo Finder	trendingRank, description, license	$0.99
GitHub Marketplace App & Action Listings by Category	listingType, slug, installedCount, planType	$0.99

Input

Input settings for GitHub Repository Language Breakdown Analyzer
Setting	Type	Required	Default	What it does
mode	string	Yes	orgRepos	One repository, a pasted list of repositories, every public repository in an organization or user account, a keyword search, or a GitHub topic.
repoFullName	string	No	–	Repository for One repository mode. Accepts owner/repo, a full https://github.com/owner/repo URL, or the git@github.com:owner/repo.git form.
repoFullNames	array	No	[]	Repositories for A list of repositories mode. Accepts owner/repo strings and full GitHub URLs; duplicates are removed and order is preserved before sorting.
org	string	No	microsoft	GitHub organization login for Organization repositories mode.
username	string	No	–	GitHub user login for User repositories mode.
searchQuery	string	No	stars:>1000	Keyword search for Keyword search mode. GitHub qualifiers work, for example stars:>1000, language:python, org:vercel, topic:llm, or pushed:>2025-01-01.
topic	string	No	machine-learning	Topic slug for Topic search mode, for example machine-learning, web-scraping, or cli.
language	string	No	–	Only return repositories whose primary language matches this name, for example Python, TypeScript, Rust, or Jupyter Notebook. Applied as a GitHub search qualifier where possible, otherwise as a client-side filter.
includeForks	boolean	No	false	Discovery modes skip forks by default. Turn this on to include forked repositories in organization, user, search, and topic results.
includeArchived	boolean	No	true	Turn this off to drop archived repositories from discovery results.

Show the other 9 settings

More input settings for GitHub Repository Language Breakdown Analyzer
Setting	Type	Required	Default	What it does
sortBy	string	No	bestMatch	Sort order for discovery results. Stars and forks work through GitHub search; created, pushed, and name use the organization/user listing. Keyword-only sort options fall back to recently updated.
sortOrder	string	No	desc	Descending (highest or newest first) or ascending.
maxItems	integer	No	20	Hard cap on repository records. GitHub search itself stops at 1,000 results.
includeLanguages	boolean	No	true	Fetch byte counts per language and compute percentage shares, up to one extra API request per repository.
includeContributors	boolean	No	false	Fetch ranked contributors and their contribution counts, up to one extra API request per repository.
contributorsLimit	integer	No	10	Maximum ranked contributors to keep when contributor enrichment is on.
includeCommitStats	boolean	No	false	Fetch weekly commit activity, participation, code frequency, and punch-card data, up to four extra API requests per repository.
includeReleases	boolean	No	false	Fetch recent releases with tag, date, asset count, and download totals, up to one extra API request per repository.
releasesLimit	integer	No	5	Maximum recent releases to keep when release enrichment is on.

Example input

Built from the input form's published example values and defaults.

{
  "mode": "repoDetail",
  "repoFullName": "microsoft/vscode",
  "repoFullNames": [],
  "org": "microsoft",
  "searchQuery": "stars:>1000",
  "topic": "machine-learning",
  "includeForks": false,
  "includeArchived": true,
  "sortBy": "bestMatch",
  "sortOrder": "desc",
  "maxItems": 1,
  "includeLanguages": true,
  "includeContributors": false,
  "contributorsLimit": 10,
  "includeCommitStats": false,
  "includeReleases": false,
  "releasesLimit": 5
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "repoDetail",
    "repoFullName": "microsoft/vscode",
    "repoFullNames": [],
    "org": "microsoft",
    "searchQuery": "stars:>1000",
    "topic": "machine-learning",
    "includeForks": False,
    "includeArchived": True,
    "sortBy": "bestMatch",
    "sortOrder": "desc",
    "maxItems": 1,
    "includeLanguages": True,
    "includeContributors": False,
    "contributorsLimit": 10,
    "includeCommitStats": False,
    "includeReleases": False,
    "releasesLimit": 5
}

run = client.actor("dataspryva/github-repository-language-breakdown-analyzer").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "repoDetail",
    "repoFullName": "microsoft/vscode",
    "repoFullNames": [],
    "org": "microsoft",
    "searchQuery": "stars:>1000",
    "topic": "machine-learning",
    "includeForks": false,
    "includeArchived": true,
    "sortBy": "bestMatch",
    "sortOrder": "desc",
    "maxItems": 1,
    "includeLanguages": true,
    "includeContributors": false,
    "contributorsLimit": 10,
    "includeCommitStats": false,
    "includeReleases": false,
    "releasesLimit": 5
};

const run = await client.actor("dataspryva/github-repository-language-breakdown-analyzer").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/dataspryva~github-repository-language-breakdown-analyzer/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"repoDetail","repoFullName":"microsoft/vscode","repoFullNames":[],"org":"microsoft","searchQuery":"stars:>1000","topic":"machine-learning","includeForks":false,"includeArchived":true,"sortBy":"bestMatch","sortOrder":"desc","maxItems":1,"includeLanguages":true,"includeContributors":false,"contributorsLimit":10,"includeCommitStats":false,"includeReleases":false,"releasesLimit":5}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=dataspryva/github-repository-language-breakdown-analyzer",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Cost of GitHub Repository Language Breakdown Analyzer results by Apify plan
Apify plan	Per 1,000	10,000 results	100,000 results
Free plan	$0.99	$9.90	$99
Starter plan	$0.82	$8.20	$82
Scale plan	$0.66	$6.60	$66
Business plan	$0.49	$4.90	$49

Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among GitHub routes

It ranks 3 of 4 catalogue Actors for GitHub on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

1 GitHub Repository Metadata & README Extractor 19 output fields, pay per event 5 of 6 core fields
$0.99 / 1K
2 GitHub Weekly Trending Repos & Org Repo Finder 9 output fields, pay per event 4 of 6 core fields
$0.99 / 1K
3 GitHub Repository Language Breakdown Analyzer 9 output fields, pay per event 3 of 6 core fields
$0.99 / 1K
4 GitHub Marketplace App & Action Listings by Category 9 output fields, pay per event 2 of 6 core fields
$0.99 / 1K
+ 6 other Store tools, combined Reference only 5 of 6 core fields
from $0.23 / 1K
API GitHub REST API Public API fields not compared

Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.

Official route: GitHub REST API

Public API. The GitHub REST API exposes repositories, issues, releases, users, organisations and more. A token raises rate limits.

No per-call fee for standard REST API use.

Official documentation

Other Store tools for GitHub

Reference only, from their public listings.

Other Store tools for GitHub
Tool	Fields	Price / 1K
GitHub Repositories Search Scraper	42	$0.23
GitHub Repository & Trending Scraper	8	$0.50
GitHub Repository Scraper	25	$1.99
GitHub Repository Search & Scraper	8	$2.00
GitHub Repository Scraper	–	$2.00

What people use it for

Analyze repository languages
Collect repository metadata
Track release histories

Other catalogue Actors for GitHub

GitHub Repository Metadata & README Extractor

Fetch stars, forks, topics, license, language breakdown and README text for GitHub repositories, by search query or a direct list of repository…

5/6 core fields 19 output fields $0.99 per 1K

GitHub Weekly Trending Repos & Org Repo Finder

Find GitHub repositories gaining stars this week, run keyword searches across all public repos, or list an organization's public repos with stars,…

4/6 core fields 9 output fields $0.99 per 1K

GitHub Marketplace App & Action Listings by Category

Search GitHub Marketplace apps and Actions by keyword, browse an entire category, or fetch listings by slug. Returns pricing plans, categories,…

2/6 core fields 9 output fields $0.99 per 1K

Google Fonts Library Metadata Extractor

Look up Google Fonts families by name, browse a category, or export the full library with weights, variable-font axes, language subsets,…

20 output fields $0.99 per 1K

Google Maps Review & Contributor Activity Scraper

Get reviews for any Google Maps business or place, or switch to author mode to pull everything one Google reviewer has written. Includes ratings,…

96 output fields $0.99 per 1K

Ubersuggest Keyword Suggestions by Country & Language

Returns related keyword suggestions for a seed keyword or domain, scoped to a chosen country and language, from a public no-login suggestion feed.

13 output fields $0.99 per 1K

Udemy Course Catalog & Rating Finder

Search Udemy courses by keyword, category, or instructor, with rating, subscriber count, price, curriculum size, and level filters.

10 output fields $0.99 per 1K

Hacker News Story, Comment & Karma Scraper

Pull Hacker News front-page, newest, best, Ask HN, Show HN, or job stories, look up specific items or user profiles, or run a full-text search…

11 output fields $0.99 per 1K

LinkedIn Learning Course & Learning Path Finder

Search the LinkedIn Learning catalog by keyword for courses, learning paths or videos, with instructor, duration, difficulty, topics and skills…

8 output fields $0.99 per 1K

Questions people ask

How much does GitHub Repository Language Breakdown Analyzer cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does GitHub Repository Language Breakdown Analyzer return?

Its published output schema lists 9 fields: fullName, language, languagesBreakdown, stars, forks, contributorCount, topics, pushedAt, repoUrl. A listed field is not guaranteed to be filled in every row.

What input does GitHub Repository Language Breakdown Analyzer need?

Required: mode. Optional settings include repoFullName, repoFullNames, org, username, searchQuery, topic.

What are the alternatives to GitHub Repository Language Breakdown Analyzer for GitHub?

4 catalogue Actors cover GitHub. Close alternatives: GitHub Repository Metadata & README Extractor; GitHub Weekly Trending Repos & Org Repo Finder; GitHub Marketplace App & Action Listings by Category. The GitHub page compares all of them field by field.

How do I run GitHub Repository Language Breakdown Analyzer from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("dataspryva/github-repository-language-breakdown-analyzer").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("dataspryva/github-repository-language-breakdown-analyzer").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/dataspryva~github-repository-language-breakdown-analyzer/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-11-09 Data synced 2026-11-12

Cite this page

Scraper Finder. "GitHub Repository Language Breakdown Analyzer." https://scraperfinder.com/catalogue/github-repository-language-breakdown-analyzer/ (data checked 2026-11-12).

Run GitHub Repository Language Breakdown Analyzer

$0.99 per 1,000 results. Paste the example input above, set your GitHub query, then export the dataset. Still choosing? Compare every GitHub route.

Open in Apify Store

GitHub Repository Language Breakdown Analyzer

Short answer

What it returns

How it differs from the other GitHub Actors

Pick another Actor if you need

Input

Example input

Run it from code or an AI agent

Python

JavaScript

cURL

MCP (AI agents)

What a run costs

Where it fits among GitHub routes

Official route: GitHub REST API

Other Store tools for GitHub

What people use it for

Other catalogue Actors for GitHub

Similar Actors

Questions people ask

Sources

Run GitHub Repository Language Breakdown Analyzer