Pricing

from $0.60 / 1,000 mention observations

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Hacker News Mentions Scraper - Stories, Comments & Evidence

Try for free

Find literal brand, product or topic mentions in public Hacker News stories and comments. Export matching excerpts, thread links and saved changes using the public Algolia index. No API key.

Pricing

from $0.60 / 1,000 mention observations

Rating

0.0

(0)

Developer

Brandt May

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Social media

Words or phrases to monitor

queries

Optional

Up to 10 literal case-insensitive phrases, at most 100 characters each. Empty/omitted uses OpenAI. A story must match its title, text or linked URL; a comment must match its own text. Fuzzy search and parent-only matches are rejected.

Type:string[]

Item type

itemType

Optional

Search stories, comments, or both. Comment titles provide thread context, while literal match evidence must be in the comment text.

Type:string

Default:all

Options:

allstorycomment

Search order

sort

Optional

Recent uses the newest indexed matches first; relevance uses Algolia search ranking. Results from multiple queries are processed in sorted query order, not globally ranked.

Type:string

Default:recent

Options:

recentrelevance

Story category

storyTag

Optional

Optional documented story tag. ask_hn and show_hn require itemType story; tags are also checked locally.

Type:string

Default:any

Options:

anyask_hnshow_hn

Exact public author handle

author

Optional

Optional exact Hacker News username, 1-50 letters, digits, underscores or hyphens. This uses the public search author tag and a local exact check.

Type:string

Published on or after

startDate

Optional

Optional real YYYY-MM-DD date, inclusive at 00:00 UTC. Filters the item publication time, not the index update time.

Type:string

Published on or before

endDate

Optional

Optional real YYYY-MM-DD date, inclusive through the end of that UTC day.

Type:string

Search candidate window per phrase

maxCandidatesPerQuery

Optional

Inspect this many indexed candidates per query before local literal checks and deduplication. Algolia only exposes up to 1,000 hits for a search; this is not complete historical coverage.

Type:integer

Minimum:1

Maximum:1000

Default:100

Search page size

pageSize

Optional

Number of indexed candidates requested per page. Small pages help bounded pagination checks but require more requests.

Type:integer

Minimum:1

Maximum:100

Default:100

Maximum saved mentions

maxResults

Optional

Maximum unique matching rows saved across the whole run. Normal requested caps are bounded coverage, not source failures.

Type:integer

Minimum:1

Maximum:1000

Default:20

Compare with prior saved observations

comparePrevious

Optional

Return matching rows with new, changed or unchanged comparison status. Uses a named persistent store. Only confirmed saved rows advance history. The first run establishes observations, and SUMMARY confirms whether history was committed.

Type:boolean

Default:false

Save only new or changed observations

onlyChanges

Optional

Implies comparison. Unchanged matching observations are skipped without a dataset charge. A first run saves matching observations; subsequent unchanged runs can correctly save zero. No disappearance/deletion inference.

Type:boolean

Default:false

History name

snapshotName

Optional

Use 1-80 letters, digits, underscores or hyphens. History also includes the sorted sources/queries and content filters. Run only one writer at a time for each scope. Start a new name for an incompatible saved baseline.

Type:string

Default:default

Run time budget (seconds)

maxRunSeconds

Optional

Requests use this budget and the platform deadline minus 25 seconds. Each request is capped at 25 seconds. Partial coverage and spending stops are explicit in SUMMARY.

Type:integer

Minimum:30

Maximum:3600

Default:240

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