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5 GitHub Actions Workflows I Use to Run Free Web Scrapers, Monitors, and Data Pipelines

GitHub gives you 2,000 free CI/CD minutes per month. Most developers use them only for tests and deploys. I use them to run web scrapers, data pipelines, and…

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GitHub gives you 2,000 free CI/CD minutes per month. Most developers use them only for tests and deploys. I use them to run web scrapers, data pipelines, and monitoring scripts.



Here are 5 workflows you can steal.






1. Daily Data Scraper



Scrape any public data source and commit results to your repo:




name: Daily Scrape
on:
schedule:
- cron: "0 6 * * *" # 6 AM UTC daily
workflow_dispatch:

jobs:
scrape:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.12"
- run: pip install httpx
- run: python scraper.py
- name: Commit data
run: |
git config user.name "Bot"
git config user.email "[email protected]"
git add data/
git diff --cached --quiet || git commit -m "data: $(date -u +%Y-%m-%d)"
git push






Your scraped data lives in the repo's git history. Free version control for your data.






2. Multi-Source Aggregator



Scrape 5 sources in parallel using matrix strategy:




name: Aggregate Sources
on:
schedule:
- cron: "0 */4 * * *" # Every 4 hours

jobs:
scrape:
runs-on: ubuntu-latest
strategy:
matrix:
source: [hackernews, reddit, producthunt, devto, lobsters]
fail-fast: false
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.12"
- run: pip install httpx
- run: python scrapers/${{ matrix.source }}.py
- uses: actions/upload-artifact@v4
with:
name: data-${{ matrix.source }}
path: output/






5 scrapers run simultaneously. Total time equals slowest scraper, not sum of all.






3. Website Change Detector



Get notified when a page changes:




name: Monitor Changes
on:
schedule:
- cron: "0 */2 * * *"

jobs:
check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Check for changes
run: |
NEW_HASH=$(curl -s https://example.com/pricing | sha256sum | cut -d' ' -f1)
OLD_HASH=$(cat hashes/pricing.txt 2>/dev/null || echo "none")

if [ "$NEW_HASH" != "$OLD_HASH" ]; then
echo "$NEW_HASH" > hashes/pricing.txt
curl -s -X POST "https://api.telegram.org/bot${{ secrets.TG_TOKEN }}/sendMessage" \
-d "chat_id=${{ secrets.TG_CHAT_ID }}&text=Pricing page changed!"
fi
- name: Commit
run: |
git config user.name "Bot"
git config user.email "[email protected]"
git add hashes/
git diff --cached --quiet || git commit -m "hash update" && git push









4. API Health Monitor



Check if your APIs are responding:




name: Health Check
on:
schedule:
- cron: "*/15 * * * *" # Every 15 minutes

jobs:
check:
runs-on: ubuntu-latest
steps:
- name: Check endpoints
run: |
ENDPOINTS="https://api.yourapp.com/health https://api.yourapp.com/v2/status"
for url in $ENDPOINTS; do
STATUS=$(curl -s -o /dev/null -w "%{http_code}" --max-time 10 "$url")
if [ "$STATUS" != "200" ]; then
curl -s -X POST "https://api.telegram.org/bot${{ secrets.TG_TOKEN }}/sendMessage" \
-d "chat_id=${{ secrets.TG_CHAT_ID }}&text=ALERT: $url returned $STATUS"
fi
done






Free uptime monitoring. No Pingdom, no Datadog, no monthly bill.






5. Weekly Report Generator



Compile data from the week and send a summary:




name: Weekly Report
on:
schedule:
- cron: "0 18 * * 5" # Friday 6 PM UTC

jobs:
report:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.12"
- run: pip install httpx jinja2
- name: Generate report
run: python generate_report.py
- name: Send via Telegram
run: |
curl -s -X POST "https://api.telegram.org/bot${{ secrets.TG_TOKEN }}/sendMessage" \
-d "chat_id=${{ secrets.TG_CHAT_ID }}" \
--data-urlencode "text=$(cat report.txt)"









Cost Calculator






































Frequency Minutes/Run Monthly Minutes Monthly Cost
4x/day 2 min 240 Free
Hourly 1 min 720 Free
Every 15 min 0.5 min 1,440 Free
Total free 2,000 $0


You can run 8 scrapers at 4x/day completely within the free tier.






Tips





  1. Use workflow_dispatch — adds a manual "Run" button for debugging


  2. Set fail-fast: false — one failed scraper should not kill others


  3. Cache pip packages — saves 30-60 seconds per run


  4. Use secrets — never hardcode API keys in workflow files


  5. Check run history — GitHub keeps logs for 90 days






📧 [email protected] — I automate data collection and monitoring pipelines.



Related: 77 Scrapers on a Schedule | 10 Dev Tools I Use Daily | 150+ Free APIs

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