Google Autocomplete Scraper — Suggestions
Pricing
from $0.50 / 1,000 autocomplete calls
Google Autocomplete Scraper — Suggestions
Scrape Google's autocomplete / suggestions endpoint at scale. Returns up to 10 suggestions per seed, enriched with Knowledge Graph entity_name + thumbnail when Google surfaces them. Supports bulk seeds (one run = many queries). Ideal for SEO keyword research, long-tail discovery, and entity mapping.
Pricing
from $0.50 / 1,000 autocomplete calls
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Scrape Badger
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What does Google Autocomplete Scraper do?
Scrape Google's autocomplete / suggestions endpoint at scale — up to 10 suggestions per seed, enriched with Knowledge Graph entity_name and thumbnail when Google surfaces them. Perfect for SEO long-tail keyword discovery.
Why use Google Autocomplete Scraper?
- Bulk seeds. Paste many seeds — each runs one autocomplete call.
- Alphabet expand. Fan each seed into 36 child queries (
seed a,seed b, …) — up to 360 long-tail ideas per seed. - Knowledge Graph enrichment. Suggestions for companies / people / movies / stocks carry entity_name + thumbnail.
- 200+ country domains. Local-market long-tail discovery with
gl. - Dirt cheap. $0.50 / 1k calls.
What data can Google Autocomplete Scraper extract?
| Field | Type | Description |
|---|---|---|
| seed | string | Input query that produced this suggestion |
| query | string | Actual query sent to Google (= seed unless alphabet-expanded) |
| value | string | Suggestion text |
| entity_name | string | Knowledge Graph entity name (when surfaced) |
| thumbnail | string | KG thumbnail URL (when surfaced) |
| position | number | Rank within the seed's suggestion list |
How to scrape Google Autocomplete
- Click Try for free.
- Paste one or many seed queries into Seed queries (one per line).
- Optional: toggle
alphabet_expandfor 36× fan-out per seed. - Set
gl/hlfor the country + language. - Click Start — suggestions stream into the dataset, tagged with source seed.
How much will it cost?
$0.0005 per call (≈ $0.50 per 1,000 calls). Without alphabet_expand: 1 seed = 1 call. With it: 1 seed = 36 calls. Budget accordingly — 100 seeds × alphabet_expand = 3,600 calls ≈ $1.80.
Competitor benchmark
| Actor | Author | Price | Notes |
|---|---|---|---|
| apify/google-search-scraper | Apify | ~$3.50 / 1k pages | Autocomplete not natively supported |
| Keyword-research SaaS (Ahrefs, Semrush) | — | $99-$449 /mo subscription | Subscription model |
| scrape-badger/google-autocomplete-scraper | ScrapeBadger | $0.50 / 1k calls | Pay-per-use, KG enrichment |
Input
Configure the run in the Input tab above, or pass a JSON object matching the fields below when calling the Actor via the Apify API.
| Field | Required | Description |
|---|---|---|
| seeds | ✅ | One seed per line, or comma-separated. |
| alphabet_expand | — | Fan each seed into 36 child queries (default false). |
| gl | — | Country code (default us). |
| hl | — | Language code (default en). |
Output
Every successful run streams records into the run's dataset. Download as JSON, CSV, XML, Excel, or HTML from the Dataset tab; consume programmatically via the Apify API or webhooks.
Example record:
[{"seed": "apple","query": "apple","value": "apple stock","position": 1},{"seed": "apple","query": "apple","value": "apple store","entity_name": "Apple Inc.","thumbnail": "https://\u2026","position": 2},{"seed": "apple","query": "apple","value": "apple tv","position": 3}]
Tips / Advanced options
- Alphabet expand for SEO research.
seed = best running shoes→ fan out into 36 → 360 long-tail keyword ideas. Beats Ahrefs for breadth. - Knowledge Graph entities = brand queries. Suggestions with
entity_nameare brand/product/person searches — higher commercial intent. - Cron for trend tracking. Suggestions shift hourly — daily runs capture what's trending in your niche.
- Pair with
google-search-scraper. Expand seeds → rank each suggestion's SERP → find content gaps.
FAQ, Disclaimers, Support
What's alphabet_expand?
Google's autocomplete returns different suggestions based on what you've typed so far. alphabet_expand queries seed a, seed b, …, seed z, seed 0, …, seed 9 — 36 child queries per seed — so you get up to 360 distinct suggestions.
Why the Knowledge Graph enrichment?
Google's search box auto-surfaces entity info (company logos, movie posters) when you type a known entity. This actor captures it.
Can I autocomplete in different verticals (images, news)?
Not via this actor — the underlying endpoint returns web-search suggestions only.
Is this cheaper than Ahrefs?
Significantly — Ahrefs starts at $99/mo flat. This actor is pay-per-use from $0.0005 per call.
Disclaimer
This Actor scrapes public Google data only. You're responsible for compliance with Google's Terms of Service and any applicable data-protection laws (GDPR, CCPA, etc.) in your jurisdiction. ScrapeBadger does not store the scraped results — they are delivered directly to your Apify dataset.
Support
Something not working? Open a ticket in the Issues tab above — we triage within one business day. Full API reference: docs.scrapebadger.com.
Related Actors
google-search-scraper— Rank the SERPs for each suggestiongoogle-trends-scraper— Track search-interest over time for each suggestion
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