Google AI Mode Scraper & API ($4.00/1k)
Scrape Google AI Mode ($4/1k — 50x cheaper): full Markdown answers, cited web sources, follow-ups & brand audits. Export JSON, CSV, or Excel.
{
"query": "compare postgresql vs mysql for high write workloads",
"country": "US",
"language": "en",
"status": "ok",
"statusMessage": null,
"hasAnswer": true,
"markdown": "When choosing between **PostgreSQL** and **MySQL** for **high write workloads**, the decision comes down to how each database handles **concurrency**, **storage architecture**, and **background maintenance**.\n\n#### Core Architectural Differences Under Writes\n\n| Feature | PostgreSQL | MySQL (InnoDB) |\n| --- | --- | --- |\n| MVCC Model | Append-only row versions (requires `AUTOVACUUM` tuning) | In-place clustered primary key updates via undo logs |\n| Concurrent Writes | Strong under complex mixed read/write & JSONB indexing | Predictable throughput for simple primary-key OLTP updates |",
"text": "When choosing between PostgreSQL and MySQL for high write workloads, the decision comes down to how each database handles concurrency, storage architecture, and background maintenance...",
"textBlocks": [
{
"type": "paragraph",
"text": "When choosing between PostgreSQL and MySQL for high write workloads, the decision comes down to how each database handles concurrency, storage architecture, and background maintenance."
},
{
"type": "heading",
"level": 4,
"text": "Core Architectural Differences Under Writes"
},
{
"type": "table",
"headers": [
"Feature",
"PostgreSQL",
"MySQL (InnoDB)"
],
"rows": [
[
"MVCC Model",
"Append-only row versions (requires AUTOVACUUM tuning)",
"In-place clustered primary key updates via undo logs"
]
]
}
],
"sources": [
{
"position": 1,
"title": "MySQL or PostgreSQL? A Workload-by-Workload Decision Guide",
"url": "https://panelica.com/blog/mysql-or-postgresql-workload-decision-guide-2026",
"domain": "panelica.com",
"publisher": "Panelica",
"snippet": "PostgreSQL stores multiple versions of each row (called tuples). Dead tuples accumulate and must be cleaned up by the VACUUM process.",
"faviconUrl": "https://encrypted-tbn2.gstatic.com/faviconV2?url=https://panelica.com&size=32",
"section": "cited"
}
],
"citations": [
{
"position": 1,
"title": "MySQL or PostgreSQL? A Workload-by-Workload Decision Guide",
"url": "https://panelica.com/blog/mysql-or-postgresql-workload-decision-guide-2026",
"domain": "panelica.com",
"publisher": "Panelica",
"snippet": "PostgreSQL stores multiple versions of each row (called tuples). Dead tuples accumulate and must be cleaned up by the VACUUM process.",
"faviconUrl": "https://encrypted-tbn2.gstatic.com/faviconV2?url=https://panelica.com&size=32",
"section": "cited"
}
],
"sourcesCount": 1,
"citedSourcesCount": 1,
"followUpQuestions": [
"What is the approximate write volume (e.g., rows per second)?",
"Is it mostly inserts, updates, or a mix of both?"
],
"brandCitationAudit": {
"targetDomains": [
"postgresql.org",
"dev.to"
],
"citationStatus": "competitor_cited",
"isCited": false,
"citedTargetUrls": [],
"citedTargetCount": 0,
"topCompetitorDomains": [
{
"domain": "panelica.com",
"citationsCount": 1
}
]
},
"googleAiModeUrl": "https://www.google.com/search?q=compare+postgresql+vs+mysql+for+high+write+workloads&gl=us&hl=en",
"scrapedAt": "2026-11-14T12:00:00Z"
}
Features
What the Google AI Mode Scraper & API ($4.00/1k) Extracts
Citations
Every source with section: "cited" that Google AI Mode directly linked inside the body of its answer.
FollowUpQuestions
Suggested next-turn questions generated by Google AI Mode — ideal for automated prompt-tree expansion, topic cluster mapping, and buyer-journey research.
Generative Engine Optimization Share-of-Voice Tracking
Pass buyer-intent prompts ("best SOC2 compliance automation platform", "hubspot vs salesforce vs pipedrive for a 25 person b2b saas team") with targetDomains to measure how often Google AI Mode recommends and cites your brand versus competitors across US, GB, DE, FR, CA, AU, IN, BR, and JP.
Prompt-Tree & Content Gap Discovery
Harvest followUpQuestions and topCompetitorDomains to uncover the exact comparison matrices and third-party review publications (pcmag.com, g2.com, niche benchmarks) driving AI Mode recommendations in your category.
Integration
Run It From Python or n8n
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"queries": [
"compare postgresql vs mysql for high write workloads",
"hubspot vs salesforce vs pipedrive for a 25 person b2b saas team"
],
"maxQueries": 25,
"country": "US",
"resolveUrls": True
}
run = client.actor("unitbytes/google-ai-mode-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("query"), item.get("googleAiModeUrl"), item.get("country"))
n8n Workflow Template
Schedule this scraper and send results to Google Sheets, Airtable, or Slack.
FAQ
Frequently Asked Questions
Q: Do I need my own proxies or account login for google-ai-mode-scraper?
No. UnitBytes manages residential proxy rotation and automated request orchestration so you never need personal accounts or proxies.
Q: What output formats are supported?
All data can be downloaded in JSON, CSV, or Excel formats, or consumed directly via the Apify REST API and webhooks.
Q: How does pricing work?
You only pay for successful records extracted under Apify Pay-Per-Event pricing, with zero monthly minimums or idle compute costs.
Q: Can this actor be integrated into automated workflows?
Yes. You can trigger runs via Apify API, Python/JavaScript clients, Make, Zapier, or scheduled cron workflows.
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Prefer Not to Run It Yourself?
Tell us what you need from Google AI Mode Scraper & API ($4.00/1k) and we'll deliver a clean Excel/CSV file. One-time datasets from $99, custom scrapers from $299. We reply within 48 hours.