Google Search Autocomplete & Keyword Suggest Extractor
Pricing
from $0.70 / 1,000 item scrapeds
Google Search Autocomplete & Keyword Suggest Extractor
Extract Google search autocomplete keyword predictions and longtail suggestions in bulk. Discover high-volume search queries and alphabet soup expansions without proxies.
Pricing
from $0.70 / 1,000 item scrapeds
Rating
0.0
(0)
Developer
LiteZero
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
2
Monthly active users
6 days ago
Last modified
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🚀 Overview & Value Proposition
Extract Google search autocomplete keyword predictions and longtail suggestions in bulk. Discover high-volume search queries and alphabet soup expansions without proxies.
Engineered for professional developers, algorithmic trading firms, Web3 researchers, growth marketers, and data engineers. This Actor extracts structured data directly from official API gateways and high-speed endpoints with zero browser overhead, zero captchas, and ultra-low compute latency.
🥊 Why This Actor Beats the Competition
| Feature | This Apify Actor | Traditional Browser / Puppeteer Scrapers |
|---|---|---|
| Speed | ⚡ 100–500 items / sec (Direct HTTP & Clean JSON) | 🐌 3–8 seconds per page load |
| Pricing | 💰 Pay-Per-Result (PPR) — only pay for extracted records | 💸 Billed for expensive browser CPU/RAM hours |
| Reliability | 🛡️ Zero Cloudflare or Captcha failures | 🛑 Frequent IP bans, block pages, and captcha blocks |
| Data Quality | 🎯 Clean, typed, schema-validated JSON | ⚠️ Fragile CSS selectors breaking every release |
🛠️ Step-by-Step: How to Use
Method 1: Apify Web Console
- Open the Actor on Apify Console.
- Fill in the input fields according to your research needs.
- Click Start and download your results in JSON, CSV, or Excel format.
Method 2: Python SDK
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run_input = queries: ...run = client.actor("litezero/google-search-autocomplete-scraper").call(run_input=run_input)for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
Method 3: Node.js / JavaScript
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const run = await client.actor('litezero/google-search-autocomplete-scraper').call({queries: ...});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);
📥 Input Parameters
All parameters are optional or have production-ready defaults:
| Parameter | Type | Default | Description |
|---|---|---|---|
queries | array | ['best ai tools', 'vpn for streaming'] | List of keywords or seed terms to get autocomplete suggestions for. |
expandAlphabet | boolean | False | Automatically appends letters a-z to find dozens of deep long-tail search predictions. |
country | string | us | Target geographic country code for localized search suggestions (e.g. us, gb, de, in). |
language | string | en | Two-letter language code (e.g. en, es, fr, de). |
maxSuggestionsPerQuery | integer | 20 | Maximum number of autocomplete predictions to return per query. |
📤 Output Data Dictionary
Every extracted item adheres strictly to the .actor/output_schema.json specification:
{"scrapedAt": "2026-10-03T18:30:00.000Z","sample": "Refer to output schema specification"}
💡 Top Commercial Use Cases
- Automated Data Pipelines: Schedule recurring runs via Apify Cron to feed internal databases and dashboards.
- AI & LLM Enrichment: Feed clean, real-time structured data into RAG pipelines, LangChain agents, or fine-tuning datasets.
- Market & Competitor Intelligence: Monitor industry trends, customer sentiment, and shifts in real-time.