Bing Autocomplete Keyword Suggestions Scraper

Collect Bing autocomplete keyword suggestions from seed keywords and turn them into clean rows for SEO research, content planning, and market analysis.

Use this Actor to discover long-tail keyword ideas, compare search intent, expand topic clusters, build content briefs, and enrich keyword research workflows with repeatable Bing suggestion data.

This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Microsoft, Bing, or their affiliates.

What You Can Collect

• Bing autocomplete suggestions for each lookup query.
• The original seed keyword that generated each lookup.
• The exact lookup query used for each suggestion.
• Suggestion position within the returned autocomplete list.
• Collection timestamp and source label for repeatable exports.

Common Use Cases

• Build SEO keyword lists from short seed terms.
• Find long-tail content ideas around brands, products, and topics.
• Expand paid search and marketplace research terms.
• Compare autocomplete demand across multiple seed keywords.
• Feed keyword suggestions into spreadsheets, BI tools, or enrichment pipelines.

Input

• seedKeywords - base terms, brands, products, categories, or topics to research.
• expansionMode - choose how lookup queries are generated:
  • none uses each seed keyword exactly as entered.
  • alphabet appends a through z to find long-tail variants.
  • questions generates buyer and research-style query patterns.
• maxQueries - maximum number of generated autocomplete lookups for the run.
• maxSuggestionsPerQuery - maximum number of suggestions saved for each lookup.
• deduplicate - keep only the first occurrence of each suggestion across the run.

Example Input

{
  "seedKeywords": ["web scraping"],
  "expansionMode": "none",
  "maxQueries": 5,
  "maxSuggestionsPerQuery": 10,
  "deduplicate": true
}

Alphabet Expansion Example

{
  "seedKeywords": ["email marketing"],
  "expansionMode": "alphabet",
  "maxQueries": 10,
  "maxSuggestionsPerQuery": 10,
  "deduplicate": true
}

Output

Each dataset row is one useful autocomplete suggestion:

• seedKeyword
• query
• position
• suggestion
• source
• collectedAt

Example row:

{
  "seedKeyword": "web scraping",
  "query": "web scraping",
  "position": 1,
  "suggestion": "web scraping tools",
  "source": "bing",
  "collectedAt": "2026-07-04T00:00:00+00:00"
}

The key-value store OUTPUT object contains run status, input count, output count, quota status, warnings, and errors.

Result Counting

Each autocomplete suggestion is written as one dataset row. Status summaries, empty results, errors, and quota-limit outcomes are reported in OUTPUT and do not create extra dataset rows.

Limits

Start with small inputs when testing a new keyword set. Autocomplete suggestions can vary by time, availability, and source behavior, so repeated runs may return slightly different suggestion lists.