Stack Overflow Lead Question Scraper

Stack Overflow Lead Question Scraper helps product teams, developer-tool companies, agencies, consultants, and support teams find public developer questions that signal real technical pain. Instead of crawling random pages, the Actor uses the official public Stack Exchange API to search Stack Overflow, Super User, or Server Fault by query and tag, then enriches each question with relevance and intent signals that make the dataset useful for lead discovery, support planning, content research, and product positioning.

The Actor is designed for commercial research workflows where a raw search result is not enough. It scores each question against your source terms, detects problem-oriented intent keywords, keeps the useful Stack Overflow engagement metrics, and can optionally compare the current run with a saved snapshot to show only newly discovered questions.

What This Actor Is Best For

Use this Actor when you want to answer questions such as:

• Which developers are struggling with an API, SDK, integration, framework, or migration path?
• Which unanswered questions could become support, consulting, documentation, or product-led growth opportunities?
• Which competitor or category terms are generating repeated technical confusion?
• Which product limitations, errors, or setup blockers keep appearing in developer communities?
• Which new Stack Overflow questions should trigger a sales, support, documentation, or content workflow?

Because it uses the Stack Exchange API, it is faster and more reliable than browser scraping for this use case and usually does not require a proxy.

Key Features

• Search by multiple free-text queries such as stripe webhook error, shopify app api, or firebase alternative.
• Search by Stack Overflow tags such as stripe, openai-api, postgresql, or salesforce.
• Filter by site, status, date range, score, relevance, and intent strength.
• Capture answer count, score, view count, answered status, owner profile, tags, creation date, and last activity date.
• Score rows against your source query or tag so weak matches can be filtered out.
• Score commercial/support intent using configurable keywords such as error, issue, alternative, integrate, migrate, or slow.
• Optional change detection mode for monitoring newly found questions between runs.
• Clean dataset schema for reviewing, exporting, or connecting results to automations.

Input Overview

The simplest run only needs one or more searchQueries. You can also provide tags when you want to track an exact technology tag rather than a keyword phrase.

Important input fields:

• searchQueries: Search phrases used with Stack Exchange advanced search.
• tags: Optional Stack Overflow tags to scan without square brackets.
• site: Stack Exchange site key, usually stackoverflow.
• questionStatus: Keep all questions, unanswered questions, or open questions only.
• sort: Sort by newest, recent activity, relevance, or votes.
• maxResults: Maximum number of rows written to the dataset.
• maxResultsPerSource: Optional cap per query or tag to keep output balanced.
• daysBack: Date filter for fresh demand signals.
• intentKeywords: Words that indicate pain, buying intent, migration needs, or support demand.
• minimumRelevanceScore: Minimum source-term match score.
• minimumIntentScore: Minimum intent keyword score.
• monitorChanges: Save a snapshot and detect newly discovered questions in later runs.
• onlyChanges: Output only new questions when change detection is enabled.

Example Input

{
  "searchQueries": [
    "stripe webhook error",
    "shopify app api"
  ],
  "tags": [
    "openai-api"
  ],
  "questionStatus": "all",
  "sort": "creation",
  "maxResults": 50,
  "maxResultsPerSource": 20,
  "pagesPerSource": 1,
  "daysBack": 365,
  "minimumRelevanceScore": 1,
  "minimumIntentScore": 0
}

Output Fields

Each dataset row represents one Stack Exchange question that passed your filters.

Core fields include:

• questionId: Stable Stack Exchange question ID.
• questionTitle: Cleaned question title.
• url: Direct Stack Overflow question URL.
• site: Stack Exchange site searched.
• sourceType: Whether the row came from a query or tag source.
• sourceQuery and sourceTag: The source that found the question.
• tags: Stack Overflow tags attached to the question.
• ownerName and ownerUrl: Public owner profile details when available.
• score, answerCount, isAnswered, and viewCount: Engagement and support-demand indicators.
• publishedAt and lastActivityAt: Timing signals for freshness and follow-up urgency.
• relevanceScore and matchedSourceTerms: How closely the title/tags matched your source.
• intentScore and matchedIntentKeywords: Pain or support-intent signals found in the title/tags.
• scrapedAt: Timestamp for the Actor run.

Practical Workflows

Developer relations teams can monitor product tags and find unanswered questions where official docs or examples are missing. Support teams can discover recurring error messages before they become ticket volume. Agencies and consultants can find public integration problems around tools they implement. Product marketers can compare pain around several competing APIs and turn the strongest patterns into landing pages, docs, tutorials, or outbound campaigns.

For ongoing monitoring, schedule the Actor with monitorChanges enabled. The Actor stores a snapshot in the key-value store and can output only newly discovered questions when onlyChanges is enabled.

Data Quality Notes

The Actor intentionally filters and scores rows instead of writing every possible API result. If a query is too broad, use maxResultsPerSource, a higher minimumRelevanceScore, or focused tags. If a query is too narrow, reduce minimumIntentScore, increase daysBack, or add adjacent terms.

maxResults is a cap, not a guarantee. The final dataset depends on Stack Exchange API availability, matching questions, date filters, status filters, and your relevance/intent thresholds.

Limitations

This Actor reads public Stack Exchange API data only. It does not scrape private profiles, bypass restrictions, collect hidden user data, or enrich users with external contact information. API rate limits or temporary Stack Exchange errors may reduce results for very large runs. The Actor is not affiliated with Stack Overflow or Stack Exchange.