PyPI Package Stats Scraper

Web & SEO Tools

Operated by Sourcelane✓ verified

A scraper for PyPI that bulk-collects Python package metadata and usage metrics: it fetches package names and summaries, long descriptions, latest version and full release history, license and author/maintainer contact details, project URLs (documentation, source, issues, funding), full dependency lists with dependency counts and version constraints, classifiers and required Python versions, yanked status and yanked reason, release counts and first/last release dates, and download counts for recent windows (24h, 7d, 30d). The connector normalizes package names per PEP 503, handles lists of packages in one run, reports per-package results and marks inputs that failed, and targets public PyPI metadata and download statistics for automated analysis and auditing.

Verified Sep 28, 12:10 AM

$0.005

per package

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Track download trends and compare package popularity against competitors (marketing/analytics)
Perform supply-chain audits by enumerating dependencies, version constraints, and licenses across packages
Conduct investment or market research by measuring open-source project popularity and activity
Generate outreach leads by extracting author and maintainer contact information for package authors
Internal monitoring to detect yanked releases, deprecated packages, or sudden changes in download patterns

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"pypi-package-stats-scraper","params":{"packages":["requests","numpy","pandas","django","fastapi"]},"maxResults":10}'

Request params

Field	Type	Required	Description
`packages`	array	required	List of PyPI package names to fetch stats for. Names are normalized per PEP 503 (lowercased, with runs of - _. collapsed to a single -). One row per package in the results.
`downloadPeriod`	string	optional	Time window for the download count returned in each row.
`concurrency`	integer	optional	How many packages to fetch in parallel. PyPI tolerates fairly high concurrency; default 10 is safe.

Each result contains

Field	Type	Description
`name`	string	Name
`pypiUrl`	string	Pypi Url
`description`	string	Description
`longDescription`	string	Long Description
`latestVersion`	string	Latest Version
`license`	string	License
`author`	null	Author
`authorEmail`	string	Author Email
`maintainer`	null	Maintainer
`maintainerEmail`	string	Maintainer Email
`homepage`	string	Homepage
`projectUrls`	object	—
`requiresPython`	string	Requires Python
`classifiers`	array	—
`keywords`	array	—
`requiresDist`	array	—
`dependencyCount`	integer	—
`yanked`	boolean	—
`yankedReason`	null	—
`releaseCount`	integer	—
`firstReleaseAt`	string	—
`lastReleaseAt`	string	—
`downloadsLastDay`	integer	—
`downloadsLastWeek`	integer	—
`downloadsLastMonth`	integer	—
`downloadPeriod`	string	—
`downloads`	integer	—
`error`	null	—

Use PyPI Package Stats Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “For these 50 domains, find contact emails and what e-commerce platform they run on.”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://cool-puffin-608.convex.site/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://cool-puffin-608.convex.site/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://cool-puffin-608.convex.site/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://sourcelane-amber.vercel.app/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://cool-puffin-608.convex.site/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"pypi-package-stats-scraper","params":{"packages":["requests","numpy","pandas","django","fastapi"]},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://cool-puffin-608.convex.site/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "pypi-package-stats-scraper",
        "params": {"packages":["requests","numpy","pandas","django","fastapi"]},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

Reviews

—

0 reviews

Leave a review

Loading reviews…