I Hit dev.to's Rate Limit Mid-Batch — Here's the 35-Second Fix

TL;DR: dev.to's API allows ~1 article per 30 seconds. Trying to batch-publish 6 articles in 18 seconds hit 429 Rate limit reached, try again in 30 seconds. The fix: 35-second delay between requests + 3-attempt retry per article.

The error I hit

# This fails on article #3
for article in articles:
    requests.post("https://dev.to/api/articles", json=payload, ...)
    time.sleep(2)  # ← too short

After 2 successful publishes, I got:

{"error": "Rate limit reached, try again in 30 seconds", "status": 429}

For all 4 remaining articles. Same response, no exponential backoff hint.

What works

import time, requests

def publish_with_retry(article_payload, max_attempts=3, retry_wait=35):
    for attempt in range(max_attempts):
        r = requests.post(
            "https://dev.to/api/articles",
            headers={"api-key": API_KEY, "content-type": "application/json"},
            json=article_payload,
            timeout=30,
        )
        if r.ok:
            return r.json()
        if r.status_code == 429:
            print(f"  429, waiting {retry_wait}s (attempt {attempt+1}/{max_attempts})")
            time.sleep(retry_wait)
            continue
        # Non-429 error — give up
        return {"error": r.status_code, "body": r.text[:200]}
    return {"error": "max retries exceeded"}

# Batch
for article in articles:
    result = publish_with_retry(article)
    print(result.get("url", "FAIL"))
    time.sleep(35)  # ← wait between successful publishes too

35 seconds is the minimum. Tested: 30s sometimes still 429s, 32s mostly works, 35s always works.

Why dev.to chose 30 seconds

I asked the dev.to team. The reasoning:

1 article per 30 sec = max 2880 articles per day per user
Stops spam bots posting hundreds of articles
Aligns with their internal queue dispatch speed for indexing/notifications

For indie use, this is fine. For a content farm, this is the bottleneck.

What this taught me

Always wrap batch API calls in retry logic. Even "respectful" APIs rate-limit. Always 429-tolerant.
35-second is the new 1-second. dev.to is fast enough for indie scale, but not for unrestrained loops.
Track which articles published. If 2/6 succeed, capture those URLs and don't re-publish. Otherwise you'll create duplicates.
Background the long batch. A 6-article batch with 35-sec waits = 3-4 minutes. Run it as a background process and let your terminal continue.

Code: tracking what published

import json
from pathlib import Path

PUBLISHED_LOG = Path("dashboard/devto_published.json")

def get_published():
    if PUBLISHED_LOG.exists():
        return json.loads(PUBLISHED_LOG.read_text())
    return {}

def mark_published(article_id, url):
    state = get_published()
    state[article_id] = {"url": url, "ts": time.time()}
    PUBLISHED_LOG.write_text(json.dumps(state, indent=2))

# In main loop
for article in articles:
    if article["id"] in get_published():
        print(f"  skip: already published")
        continue
    result = publish_with_retry(article)
    if "url" in result:
        mark_published(article["id"], result["url"])

Now the batch is idempotent. Re-run it and it picks up where it left off.

Bonus: rate-limit-aware batch progress

import time

class RateLimitedBatch:
    def __init__(self, items, min_interval_sec=35):
        self.items = items
        self.min_interval = min_interval_sec
        self.last_run = 0

    def wait_if_needed(self):
        now = time.time()
        wait = self.last_run + self.min_interval - now
        if wait > 0:
            print(f"  waiting {wait:.1f}s")
            time.sleep(wait)
        self.last_run = time.time()

    def run(self, fn):
        for item in self.items:
            self.wait_if_needed()
            fn(item)

# Usage
RateLimitedBatch(articles, min_interval_sec=35).run(publish_with_retry)

This gives you a clean "schedule" pattern instead of scattered time.sleep() calls.

The dev.to API key reality

dev.to API keys are tied to user accounts. You cannot have multiple keys per account, but you can have multiple accounts (with different emails) for higher batch throughput. Most indies don't need that — 1 article per 30 sec is plenty.