DataForB2B Typeahead
Resolve free-text queries into the exact filter values DataForB2B's search endpoints expect, so structured search filters match real records instead of failing silently on typos or near-misses.
Search Filter Typeahead
What it is
Resolve the exact filter value (company, industry, job title, skill, school, investor, location, category) for people and company searches with DataForB2B.
How it works
The block trims and validates the free-text query q, then sends it with filter_type to DataForB2B's typeahead endpoint. Use the returned values as a People Search or Company Search filter rather than guessing at exact spellings — the search endpoints match on stored taxonomy values, so a plausible-looking guess silently returns zero results (industry is software development, not software). Industry is split per-side upstream: resolve people_industry for People Search and company_industry for Company Search, since the two taxonomies differ in both membership and casing. limit is clamped to 1-20, client and server errors are surfaced via error, and a valid query with no match returns empty results and values lists.
Inputs
filter_type
Filter type to resolve. Industry is split per-side: use people_industry for People Search and company_industry for Company Search
"company" | "people_industry" | "company_industry" | "title" | "skill" | "school" | "investor" | "location" | "city" | "region" | "category"
Yes
q
Free-text query to resolve
str
Yes
limit
Max suggestions (1-20)
int
No
Outputs
error
Error message if the operation failed
str
result
Full typeahead response
Dict[str, Any]
results
List of suggestions
List[Dict[str, Any]]
values
Resolved stored values
List[str]
Possible use case
Filter Autocomplete: Resolve a user-typed company or industry name to the exact stored value before running a structured People/Company Search.
Search Validation: Confirm a job title or location exists in DataForB2B's taxonomy before building a filter around it.
Query Normalization: Convert user-entered company, school, or skill names into canonical values for repeatable searches.
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