[0.2.57] YFRateLimitError('Too Many Requests

[bubbleboy021]

Describe bug

This error just returned on a query (2025-04-29). I've tried using different IP addresses, so it's not my account hitting a rate limiter.

"Failed download:
['^GSPC']: YFRateLimitError('Too Many Requests. Rate limited. Try after a while.')"

Simple code that reproduces your problem

yf.download('^GSPC', multi_level_index=False)

Debug log from yf.enable_debug_mode()

YF.download() has changed argument auto_adjust default to True
[100%**] 1 of 1 completed

1 Failed download:
['^GSPC']: YFRateLimitError('Too Many Requests. Rate limited. Try after a while.')

Bad data proof

No response

yfinance version

0.2.57

Python version

3.10.4

Operating system

OSX

[TheLegendAli]

same issue here

[AlanCPSC]

An API change by Yahoo is likely. The Monday/Tuesday timing suggests corporate-level changes.

[TheLegendAli]

works fine on google colab, Python version: 3.11.12 yfinance version: 0.2.57. my computer is running python 3.11.2 i wonder if thats the reason?

[dylannguyennn]

Having the same issue. Was working fine this morning and then tried hitting it again and was rate limited. Probably an API change?

[luanjunyi]

Same here. Any request will result in code 429 (Too Many Requests). It's either a bug on yfinance or Yahoo side.

[urrx101]

Same here
Tried most recent yfinance versions - 0.2.56 & 0.2.57
Python version 3.11.11

[DOW4000]

Same here. Tried several different versions/ headers.

[BambooOwl]

Got rate-limited as well, oh well, back to manually key in data then. Wake me up when its May

[notjuicylmao]

Same issue here.

[TheLegendAli]

so his works from the browser:

https://query2.finance.yahoo.com/v8/finance/chart/SPY?period1=946702800&period2=1606798800&interval=1d&events=history

but it doesn't work from my python code, gives me 429:

`import requests
import pandas as pd
import json
from datetime import datetime

URL for Yahoo Finance API

url = "https://query2.finance.yahoo.com/v8/finance/chart/SPY?period1=946702800&period2=1606798800&interval=1d&events=history"

Make the request with headers to avoid being blocked

headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'}
response = requests.get(url, headers=headers)

Check if the request was successful

if response.status_code == 200:
# Parse the JSON data
data = response.json()

# Extract the timestamp and close prices
timestamps = data['chart']['result'][0]['timestamp']
close_prices = data['chart']['result'][0]['indicators']['quote'][0]['close']

# Convert to DataFrame
df = pd.DataFrame({
    'Date': [datetime.fromtimestamp(ts) for ts in timestamps],
    'Close': close_prices
})

# Set the date as index
df.set_index('Date', inplace=True)

# Display the first few rows
print(df.head())

else:
print(f"Error: Received status code {response.status_code}")
print(response.text)`

[zunleashed]

simply tried: yf.Ticker('TSLA').history(period="max", interval='1d', actions=False).tail(600)
and I get: "too many requests. rate limited." problem.

help please!

[TianqiMikeHu]

I think I figured out something useful

I noticed that (as one of the above comments mentioned as well) it works for me on a browser. It works with curl too. But somehow it just doesn't work with the Python requests module (with identical headers in all tests), consistently getting 429.

At that point I was suspecting they implemented some kind of TLS fingerprinting mechanism. So I just looked up popular libraries that can impersonate a browser's TLS fingerprints, and this is the one I went with. Seems to work well for me so far.

To be more exact, I just swapped out the session object on line 85 of data.py of this package, so that it looks something like this:

self._set_session(session or requests.Session(impersonate="chrome"))

where requests is imported from curl_cffi instead

[kianso7414]

I got the same issue for my app in AWS Lambda, tried to redeploy and still rate limit.

Python Version
3.13

yfinance Version
0.2.57

Example Code

tickers = ['^SPX', '^DXY']
data = yf.download(
        tickers=' '.join(tickers),  
        start=min_date,
        end=max_date,
        group_by='ticker',
        auto_adjust=True
    )

Error Message
['^DXY', '^SPX']: YFRateLimitError('Too Many Requests. Rate limited. Try after a while.')

Test in Local
I have tried the script and it works, the AWS Lambda is in different region from where I tested locally though.

See if anyone have some insight on this.

[alindsaydiaz]

...

self._set_session(session or requests.Session(impersonate="chrome"))

where requests is imported from curl_cffi instead

This worked for me! FWIW, you can inject the session directly into yf.Ticker without needing to patch yfinance.

  from curl_cffi import requests
  session = requests.Session(impersonate="chrome")
  ticker = yf.Ticker('...', session=session)

[bubbleboy021]

Excellent sleuthing! This worked for me. TY