Getting backlinks indexed quickly is crucial for SEO. I've been using the SERPSpur Free Backlink Pinger & Indexer Tool to speed up discovery. Here's a script I use to automate pinging multiple URLs:
python
import requests
API_KEY = "your_api_key_here"
def ping_backlinks(urls):
results = []
for url in urls:
response = requests.post(
"https://api.serpspur.com/v1/backlink-pinger",
headers={"Authorization": f"Bearer {API_KEY}"},
json={"urls": [url], "depth": 2}
)
data = response.json()
results.append({
"url": url,
"status": data.get('status', 'failed'),
"indexed": data.get('indexed_after_ping', False)
})
return results
Example usage
backlinks = ["https://example.com/backlink1", "https://example.com/backlink2"]
results = ping_backlinks(backlinks)
for r in results:
print(f"{r['url']}: {r['status']} - Indexed: {r['indexed']}")
This has significantly reduced the time it takes for my backlinks to appear in search results. How do you handle backlink indexing in your workflow? https://serpspur.com
Top comments (2)
Interesting tool. I usually rely on manual submission to Google Search Console for critical backlinks, but for bulk, I can see this saving time. Does the 'depth: 2' parameter help with internal links within the pinged URLs?
Timely backlink indexing is always a challenge. I've been using a combination of sitemaps and manual pinging, but automating it with depth control sounds efficient. Do you see a noticeable difference in indexing speed for low-authority sites with this method?