> For the complete documentation index, see [llms.txt](https://tk233.gitbook.io/notes/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://tk233.gitbook.io/notes/tools/python/retrieve-github-user-avatar-with-github-api.md).

# Retrieve Github user avatar with Github API

```python
import time

import requests

headers = {
    "Authorization": "Bearer GITHUB_OAUTH_KEY"
    }


fetched_names = []

for i in range(100):
    print("="*16)
    print(i)
    print("="*16)
    resp = requests.get("https://api.github.com/repos/ucb-bar/chipyard/commits?per_page=100&page={page}".format(page=i), headers=headers)
    commits = resp.json()

    time.sleep(0.1)
    if not commits:
        break

    for commit in commits:
        author = commit.get("author")
        if not author:
            continue
        
        username = author.get("login")
        name = commit.get("commit").get("author").get("name")

        print(username, "-", name)
        if name in fetched_names:
            continue
        print("  downloading...")

        r = requests.get("https://github.com/{username}.png?size=90".format(username=username), headers=headers, allow_redirects=True)
        open(".git\\avatar\\{name}.png".format(name=name), "wb").write(r.content)
        fetched_names.append(name)

        time.sleep(0.1)

print("finished")

```

```python
#!/usr/bin/env python3
# fetch Gravatars

import hashlib
import os
import requests
from subprocess import Popen, PIPE
import time

size = 90
output_dir = ".git/avatar"

if not os.path.isdir(".git"):
    raise FileNotFoundError("no .git/ directory found in current path")

if not os.path.isdir(output_dir):
    os.makedirs(output_dir)

git_log_process = Popen(["git", "log", "--pretty=format:%ae|%an"], stdout=PIPE, text=True)
git_log_output = git_log_process.communicate()[0]

processed_authors = set()

for line in git_log_output.splitlines():
    email, author = line.strip().split("|")

    if author in processed_authors:
        continue

    processed_authors.add(author)

    author_image_file = os.path.join(output_dir, f"{author}.png")

    # skip images we have
    if os.path.exists(author_image_file):
        continue

    # try and fetch image
    md5_hash = hashlib.md5(email.lower().encode()).hexdigest()
    grav_url = f"http://www.gravatar.com/avatar/{md5_hash}?d=404&size={size}"

    print(f"fetching image for '{author}' {email} ({grav_url})...")

    response = requests.get(grav_url, stream=True)

    if response.status_code == 200:
        with open(author_image_file, "wb") as f:
            for chunk in response.iter_content(1024):
                f.write(chunk)
        response.close()
    else:
        print("error:", response.status_code)
        response.close()
        continue

    # sleep to avoid hitting Gravatar API too hard
    time.sleep(1)

```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://tk233.gitbook.io/notes/tools/python/retrieve-github-user-avatar-with-github-api.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.