Google Search Autocomplete Api

Google Autocomplete Scraper 🔍

Google Autocomplete Scraper automatically collects autocomplete suggestions for a given query, helping you turn “autocomplete keyword research” into real, actionable lists. If you’re looking for a google autocomplete scraper, a google suggest scraper, or a way to extract google autocomplete keyword lists for SEO and research workflows, this actor is built for you—whether you’re a marketer, data analyst, or researcher exploring search behavior at scale.

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Why choose Google Autocomplete Scraper?

Feature	Benefit
✅ All-in-one autocomplete collection	Pulls suggestions for your main query in a single run
✅ Language and country targeting	Produces suggestions aligned to your selected language and country
✅ Reliability-oriented execution	Includes resilience patterns so runs can complete even when some requests fail
✅ Structured dataset output	Saves results in a consistent JSON structure that’s easy to import into your pipeline
✅ Scale-friendly batching	Generates autocomplete keyword variants (prefix/suffix) when enabled, so you can expand coverage
✅ Works well with automation	Pairs naturally with downstream steps in Apify workflows (export, transforms, analysis)

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Key features

• 🔤 Query-based suggestions: Fetches autocomplete suggestions for your provided query
• 🌍 Localized results: Uses your selected language and country to tailor the suggestions
• 🧩 Prefix and suffix expansion: Optionally generates additional queries using alphabetic prefixes (use_prefix) and/or alphabetic suffixes (use_suffix)
• 🛡️ Resilient requests: Handles request errors gracefully and continues building the output
• 📊 Consistent structured output: Returns a query plus consistently named suggestion_XX fields for each set of suggestions
• 💾 Dataset-ready results: Saves everything into the default Apify dataset as JSON objects you can export to CSV/JSON

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Input

Provide input via an input.json file. Example structure:

{
  "query": "apple watch",
  "language": "English",
  "country": "United States",
  "use_prefix": false,
  "use_suffix": true
}

Input Fields

Field	Required	Description
query	Yes	The search term you want autocomplete suggestions for.
language	No	Select the language used when requesting suggestions (e.g., English).
country	No	Select the country context for suggestions (e.g., United States).
use_prefix	No	Whether to add alphabetic prefixes to the query to expand your autocomplete keyword coverage.
use_suffix	No	Whether to add alphabetic suffixes to the query to expand your autocomplete keyword coverage.

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Output

After execution, the actor saves your autocomplete results in JSON format. The output is an array of objects where each object represents one query variant and its suggestions.

Example output:

[
  {
    "query": "apple watch",
    "suggestion_01": "apple watch series",
    "suggestion_02": "apple watch bands",
    "suggestion_03": "apple watch price"
  },
  {
    "query": "a apple watch",
    "suggestion_01": "apple watch",
    "suggestion_02": "apple watch series",
    "suggestion_03": "apple watch deals"
  }
]

Output Fields

Field	Type	Description
query	string	The query string used for that result object (either your original query or a prefix/suffix variant).
suggestion_01	string	First autocomplete suggestion for that query (ordering is padded/consistent by index).
suggestion_02	string	Second autocomplete suggestion for that query.
suggestion_03	string	Third autocomplete suggestion for that query.
suggestion_04	string	Fourth autocomplete suggestion for that query.
suggestion_05	string	Fifth autocomplete suggestion for that query.
suggestion_06	string	Sixth autocomplete suggestion for that query.
suggestion_07	string	Seventh autocomplete suggestion for that query.
suggestion_08	string	Eighth autocomplete suggestion for that query.
suggestion_09	string	Ninth autocomplete suggestion for that query.
suggestion_10	string	Tenth autocomplete suggestion for that query.

Note: The actor creates suggestion_XX fields by enumerating the returned suggestions from the autocomplete response (starting at 1 and zero-padded).

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How to use Google Autocomplete Scraper (via Apify Console)

1. Open Apify Console
   Sign in at console.apify.com and go to the Actors section.

2. Find the actor
   Search for Google Autocomplete Scraper and open the actor page.

3. Set up your INPUT
   In the INPUT pane, provide at least query. Optionally set language, country, use_prefix, and use_suffix.

4. (Optional) Choose proxy settings
   If you use Apify Console proxy configuration, enable it according to your workflow needs. The actor is compatible with Apify’s execution environment and is designed for resilient runs.

5. Run the actor
   Click Run to start scraping autocomplete suggestions. You’ll see logs indicating progress and any request issues.

6. Monitor results in logs
   Watch for informative log lines about the run and any errors encountered during data fetching.

7. Open the dataset
   After completion, open the OUTPUT tab to view the default dataset containing your JSON results.

8. Export for analysis
   Export the dataset to your preferred format for keyword research, dashboards, or further processing—no coding required.

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Advanced features & SEO optimization

• 🚀 Engineered for autocomplete keyword research: This Google autocomplete extraction tool is designed to excel at expanding keyword lists from autocomplete-style suggestions (including keyword variants when you toggle prefix/suffix options).
• 🌐 Localized suggestion context: Use your chosen language and country settings to better match how users search in different markets—great for an SEO autocomplete keyword scraper workflow.
• 🔁 Prefix/suffix expansion mode: With use_prefix and use_suffix, you can broaden coverage for more thorough google autocomplete keyword list building.
• 🧾 Consistent field naming for easy downstream parsing: Output keys follow a predictable suggestion_XX pattern, which simplifies importing into spreadsheets or BI tools.

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Best use cases

• 📈 SEO keyword research: Generate a structured list of autocomplete suggestions to inform your content topics and keyword targeting.
• 🔎 Market research by geography: Compare how autocomplete suggestions shift using different country and language settings.
• 🧠 Search intent discovery: Use the google suggest scraper output to capture user phrasing trends and refine your keyword strategy.
• 🏗️ Keyword expansion for content briefs: Turn one query into many query variants via prefix and suffix expansion.
• 🧾 Data analysis workflows: Feed structured JSON into your own analytics to cluster suggestions and quantify patterns.
• 💻 Automation pipelines: Integrate the Google autocomplete API scraper output into repeatable reporting jobs within Apify-style automation.
• 📚 Tool-assisted research: Use an autosuggest scraper tool approach to speed up manual keyword list creation.

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Technical specifications

• Supported Input Formats

  • ✅ query as a string
  • ✅ language as a string chosen from the provided language list
  • ✅ country as a string chosen from the provided country list
  • ✅ use_prefix as a boolean
  • ✅ use_suffix as a boolean

• Proxy Support

  • ✅ Compatible with Apify’s proxy configuration within your run setup

• Retry Mechanism

  • ✅ Error handling is built in to keep runs moving when requests fail (some suggestions may be missing if requests error)

• Dataset Structure

  • ✅ Stores results as JSON objects in the default dataset
  • ✅ Each object contains query and suggestion_XX fields (e.g., suggestion_01 to suggestion_10)

• Rate Limits & Performance

  • ⚠️ Performance can vary based on the number of generated query variants (especially when use_prefix and/or use_suffix are enabled)

• Limitations

  • ❌ Output depends on the autocomplete response returned for each query variant
  • ❌ Not all suggestions may appear if requests fail for specific variants

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FAQ

What does Google Autocomplete Scraper return?

✅ It returns autocomplete suggestions in a JSON array. Each entry includes a query field and a set of suggestion_XX fields (like suggestion_01, suggestion_02, etc.) for that query.

Which input field is required?

✅ Only query is required. You can optionally set language, country, use_prefix, and use_suffix to tailor the suggestions.

Can I expand results beyond the original query?

✅ Yes. Turn on use_prefix and/or use_suffix to generate additional query variants and collect autocomplete suggestions for each one.

Do I need coding to use it?

✅ No coding required. You can run it directly in Apify Console with an input.json configuration and then export the dataset.

Is this good for free google autocomplete scraper style keyword research?

✅ It’s designed for google autocomplete keyword research and structured collection of autocomplete suggestions. The output is ready for analysis in tools that accept JSON/CSV exports.

What kind of data is included—keywords only or more?

✅ This actor focuses on autocomplete suggestions only. The structured output includes query and suggestion_XX fields.

How do I handle large keyword batches?

✅ Use automation by running the actor with carefully chosen query values and enabling prefix/suffix expansion when it fits your research plan. The output remains structured for easy ingestion.

Is the data legal to use for marketing?

✅ The tool scrapes data from publicly available sources. It’s still your responsibility to comply with applicable laws and platform policies (including GDPR/CCPA and anti-spam rules) for your intended use.

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Support & feature requests

Want to improve Google Autocomplete Scraper for your autocomplete keyword scraper workflow? We’d love to hear from you.

• 💡 Feature Requests: Examples include adding more flexible suggestion limits per query, exporting directly in additional formats, or adding options that better fit google autocomplete extraction tool workflows.
• 📧 Contact: Reach out at dataforleads@gmail.com.

Your feedback helps shape future iterations of this google autocomplete data scraper.

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Google Autocomplete Scraper — Final thoughts

If you’re building an SEO-friendly autocomplete keyword strategy, Google Autocomplete Scraper gives you structured suggestions you can analyze fast. Start with a single query and scale with localized settings and optional prefix/suffix expansion.

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Disclaimer

This actor accesses publicly accessible sources only. It does not access private profiles, authenticated data, or password-protected content.

You are responsible for complying with applicable laws (including GDPR and CCPA), platform terms of service, and relevant anti-spam regulations. For data removal requests, contact dataforleads@gmail.com.

Use Google Autocomplete Scraper responsibly, ethically, and for legitimate purposes only.