Reddit Search Scraper

Scraper

$0.5/1000

results

Search Reddit for posts, subreddits, or users by keyword — with sort, time range, and optional comment pulls. Structured results for monitoring and research. $0.50 per 1,000 rows.

Scraping Dino

4.3(3)

Try it out

Reddit Search Scraper

Scraper

Search Reddit for posts, subreddits, or users by keyword — with sort, time range, and optional comment pulls. Structured results for monitoring and research. $0.50 per 1,000 rows.

Scraping Dino

4.3(3)

$0.5/1000results

Try it out

Scraping Dino Reddit Search

Keyword search across Reddit entity types, returned as typed, filterable rows.

On Scrapy.io, Scraping Dino Reddit Search by Scraping Dino is built for reddit search scraper workflows — run from the Store, schedule recurring jobs, or POST to scrapingdino.p.scrapy.io from your stack.

What it does

Searches posts, subreddits, or users
Supports sort, time range, and result caps
Optionally pulls comments on matched posts

Why teams scrape Reddit with Scraping Dino

Reddit is one of the largest public conversation graphs on the web — product feedback, competitor mentions, support pain, and niche community signals all surface there before they hit traditional media. A reddit search scraper workflow on Scrapy.io lets analysts and engineers pull that signal into the same warehouse tables as CRM, ads, and support data instead of copying links by hand.

Scraping Dino Reddit Search is built for repeatable extraction: you define inputs once (URLs, queries, usernames, or subreddit names), cap volume with maxResults, and export JSON or CSV on a schedule. That matters when your use case is a daily brand monitor, a research panel, or an enrichment step in a larger ETL — not a one-off screenshot.

Scraping Dino listings share a consistent column philosophy across Reddit tools: stable field names, explicit error rows, and pricing per successful result so finance can forecast spend as you add communities or keywords.

What data can Scraping Dino Reddit Search extract?

This reddit search scraper on Scrapy.io exports structured fields including:

Query — Search term that produced the row
Type — post, subreddit, user, comment, or error
Title / name — Primary label for the hit
Author — Username when applicable
Subreddit — Community for post hits
Score — Upvotes for posts
URL — Canonical link

How to run on Scrapy.io

Open Scraping Dino Reddit Search on the Scrapy.io Store.
Click Try for free or Run.
Fill in the input form (see Input below) or paste JSON from the example.
Click Start and wait for the run to complete.
Download results from the Output tab, or fetch them via the publisher API.

For your first run, keep caps low (maxResults, maxReviews, etc.) until you validate row shape in the Output preview.

Search intent and keywords

Teams discover Scraping Dino Reddit Search while researching reddit search scraper and related terms such as . This listing is structured to answer common questions — including — with concrete Input and Output examples you can run on Scrapy.io without maintaining your own scraper infrastructure.

If you arrived from SEO or paid search, start with the Input JSON example below, run once on the free tier, then scale with schedules or the publisher API once row shape and cost look right.

Quick start checklist

Use this checklist before your first production run of Scraping Dino Reddit Search:

Validate inputs — paste a single URL, username, query, or place ID and confirm the Output shape matches your schema
Set caps — tune maxResults, maxReviews, or equivalent limits so a full batch stays within budget
Inspect errors — open the Errors view; fix malformed inputs rather than retrying the entire run blindly
Export once — download JSON and share with stakeholders for sign-off on columns and row volume
Promote to API — copy the same JSON to a POST against scrapingdino.p.scrapy.io/reddit-search-scraper/v1/api or create a scheduled job

Most teams keep a "golden" input file in git for Scraping Dino Reddit Search so staging and production use identical payloads. Update that file when you add keywords, targets, or communities — not the orchestration code around it.

Input

Enter one or more search keywords. Choose what to search (posts, subreddits, or users) and how results are ranked.

Configure the run in the Scrapy.io input form or pass JSON to the publisher API.

Input JSON example

{
  "queries": [
    "python",
    "chatgpt"
  ],
  "sort": "relevance",
  "timeRange": "all",
  "maxResults": 50,
  "searchType": "posts"
}

Field	Type	Required	Description
`queries`	string[]	Yes	Enter one or more search keywords (e.g. python, chatgpt, cursor)
`sort`	string	No	How to order post search results
`timeRange`	string	No	Limit results to a time period. Only used when Sort is Top
`maxResults`	integer	No	Maximum number of posts to return
`searchType`	string	No	Search posts, subreddits, or users. Defaults to posts

Output

Results appear in the Scrapy.io run Output tab. Posts, Subreddits, Users, Comments (optional), and Errors tables.

Each successful row is designed for warehouse loads: stable column names, explicit error rows, and caps you control in the input form.

JSON example

[
  {
    "type": "post",
    "query": "openai api pricing",
    "title": "Example search hit",
    "author": "example_user",
    "subreddit": "MachineLearning",
    "score": 256,
    "postUrl": "https://www.reddit.com/r/MachineLearning/comments/abc123/example/"
  }
]

Download the full dataset as JSON, CSV, or Excel from the Output tab, or fetch results programmatically via the publisher API after the run completes.

Where teams use the data

Brand monitoring

track mentions across communities

Teams usually snapshot these rows on a schedule, store a scrapedAt timestamp in their warehouse, and diff week-over-week to spot new entries or metric changes. For first-time setup, run Scraping Dino with conservative caps, validate the Output preview against your schema, then promote the same JSON to a cron or API job. Document which Output view (Posts, Comments, Reviews, etc.) your downstream models consume so new teammates can reproduce the pipeline without tribal knowledge.

Market research

quantify how often a problem is discussed

Community discovery

find subs and users around a niche term

Alerting

feed scheduled searches into Slack/ops dashboards

Why Scraping Dino

Search results are shaped for multi-view datasets and scheduled jobs, not one-off browsing. Prefer Scraping Dino when search is a recurring pipeline step with clear billing per successful row.

Pipeline patterns with Scraping Dino

Scraping Dino Reddit Search is rarely the only step in a data workflow. Teams typically:

Schedule daily queries for brand monitoring and diff new postUrl values
Send high-signal post hits to Reddit Comment Tree Scraper for qualitative analysis
Discover subreddits via searchType: subreddits, then monitor with Reddit Subreddit Posts Scraper

See Related Scraping Dino tools below for same-publisher companions you can chain without leaving the Scrapy.io billing account.

Loading Scraping Dino Reddit Search data into your warehouse

Most production deployments follow the same shape:

Extract — scheduled Scrapy.io run or API POST with your input JSON
Stage — land raw JSON in S3, GCS, or a staging Postgres schema
Normalize — map Output columns to typed tables (posts, comments, businesses, videos, etc.)
Dedupe — key on stable IDs (postUrl, placeId, videoId, reviewId, …) plus scrape date where history matters
Serve — expose dbt models or API views to BI, CRM enrichment, or alerting

Scraping Dino Reddit Search separates successful rows from per-input errors, so staging logic can WHERE type != 'error' (or the equivalent filter for your tool) without failing the whole batch. Join across Scraping Dino tools on those stable keys to build multi-step datasets without re-scraping upstream steps.

Build vs. buy: why use Scraping Dino Reddit Search on Scrapy.io?

Maintaining Reddit, Maps, or YouTube extractors in-house means handling rate limits, HTML or API changes, proxy rotation, and observability — work that rarely differentiates your product. Scraping Dino Reddit Search on Scrapy.io outsources that operational burden: you supply inputs, Scrapy.io runs the job, and you pay per successful row.

Scraping Dino listings add warehouse-first documentation (clear caps, field lists, and pipeline patterns) so data teams can onboard without reading executor source code. When requirements change, update the input JSON or schedule — not your scraper fleet.

Export formats and delivery

Scraping Dino Reddit Search runs on Scrapy.io support multiple ways to get data out:

JSON — best for APIs, agents, and document stores; preserves nested fields
CSV — spreadsheet-friendly flat exports for analysts
Excel — formatted downloads for stakeholder review
Publisher API — POST inputs and poll or webhook results into your own pipeline
Webhooks — push finished runs to Slack, Zapier, or custom endpoints

For production pipelines, most teams land JSON in object storage, normalize in dbt or Spark, and schedule recurring runs so the Store listing becomes just another data source — not a manual step.

Scheduling and automation

Run Scraping Dino Reddit Search once from the Store to validate inputs, then promote the same JSON payload to a scheduled job on Scrapy.io. Common patterns:

Daily discovery — refresh feeds, search queries, or Maps targets on a cron
Event-driven enrichment — webhook from your CRM when a new URL or place ID appears
API batch jobs — your backend POSTs to scrapingdino.p.scrapy.io on a queue

Scraping Dino tools use pay-per-result billing, so scheduled jobs stay predictable when you cap maxResults, maxReviews, or equivalent limits in the input form.

Pricing

$0.50 per 1,000 rows

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-search-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "queries": ["openai api pricing"],
    "searchType": "posts",
    "sort": "relevance",
    "timeRange": "week",
    "maxResults": 50,
    "includeComments": false
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-search-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "queries": ["openai api pricing"],
    "searchType": "posts",
    "sort": "relevance",
    "timeRange": "week",
    "maxResults": 50,
    "includeComments": false
  }'

Open the API tab on the Store listing for Python, JavaScript, cURL, OpenAPI, and MCP snippets.

MCP and agent workflows

Scraping Dino Reddit Search is available through the Scrapy.io MCP server — configure your API key in Cursor, Claude Desktop, or another MCP client, then invoke the tool from agent workflows. This is useful for ad-hoc research ("scrape these ten URLs and summarize the Output") without writing boilerplate HTTP code.

For production, prefer the publisher API or scheduled runs; use MCP for exploratory analysis and internal tooling where a human or agent supplies inputs interactively. See the API tab on Scraping Dino Reddit Search for MCP connection snippets.

Tool	Best for
Scraping Dino Reddit Comment Tree	Scraping Dino companion tool — overview
Scraping Dino Reddit Popular Posts	Scraping Dino companion tool — overview
Scraping Dino Reddit Popular Subreddits	Scraping Dino companion tool — overview

Tips for scaling runs

Split large keyword lists across multiple runs to stay within per-run time budgets
Start with maxResults: 25 when testing new query sets
Store query on every row so multi-keyword runs remain filterable in SQL
Inspect per-row errors in the Errors output view instead of failing an entire batch
When Maps, Reddit, or YouTube batches repeat the same error, raise Issues on this Scraping Dino listing with your run ID and a sample input

Limitations

Search ranking may differ slightly from reddit.com at the same moment
Very broad queries can hit maxResults before pagination exhausts
Comment enrichment adds latency and row volume — use caps on test runs

Scraping Dino Reddit Search collects publicly available data only. You are responsible for complying with platform terms, applicable laws, and data-protection regulations (including GDPR when personal data is involved). Consult your legal team for your specific use case.

Frequently asked questions

How much does Scraping Dino Reddit Search cost?

$0.50 per 1,000 rows. You are charged only for successfully scraped rows. See Scrapy.io pricing for plan details.

Can I integrate Scraping Dino Reddit Search with other apps?

Yes. Use webhooks, scheduled runs, or the publisher API to push data into your warehouse, CRM, or automation stack.

Can I use Scraping Dino Reddit Search with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/reddit-search-scraper/v1/api with your API key. See the API tab on the Store listing for ready-made snippets.

Can I use Scraping Dino Reddit Search through an MCP server?

Yes. Configure the Scrapy.io MCP endpoint with your API key to query Scraping Dino Reddit Search from AI assistants and agent workflows.

Scraping Dino Reddit Search is not working — what should I do?

Verify inputs (URLs, queries, identifiers) are valid and public
Lower volume caps and retry
Check the run log for per-row errors in the Errors output view
Log the failure in Issues on this Scraping Dino tool page (run ID + place ID, subreddit, or video URL)

Your feedback

Scraping Dino maintains deep Maps, Reddit, and YouTube coverage — star the tool in Reviews if exports are landing in your warehouse and mention which dataset you rely on most.

Similar Tools

View all

Reddit Search Explorer

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Scraping Dino Reddit Search

Keyword search across Reddit entity types, returned as typed, filterable rows.

What it does

Searches posts, subreddits, or users
Supports sort, time range, and result caps
Optionally pulls comments on matched posts

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Reddit Search extract?

This reddit search scraper on Scrapy.io exports structured fields including:

Query — Search term that produced the row
Type — post, subreddit, user, comment, or error
Title / name — Primary label for the hit
Author — Username when applicable
Subreddit — Community for post hits
Score — Upvotes for posts
URL — Canonical link

How to run on Scrapy.io

Open Scraping Dino Reddit Search on the Scrapy.io Store.
Click Try for free or Run.
Fill in the input form (see Input below) or paste JSON from the example.
Click Start and wait for the run to complete.
Download results from the Output tab, or fetch them via the publisher API.

For your first run, keep caps low (maxResults, maxReviews, etc.) until you validate row shape in the Output preview.

Search intent and keywords

If you arrived from SEO or paid search, start with the Input JSON example below, run once on the free tier, then scale with schedules or the publisher API once row shape and cost look right.

Quick start checklist

Use this checklist before your first production run of Scraping Dino Reddit Search:

Validate inputs — paste a single URL, username, query, or place ID and confirm the Output shape matches your schema
Set caps — tune maxResults, maxReviews, or equivalent limits so a full batch stays within budget
Inspect errors — open the Errors view; fix malformed inputs rather than retrying the entire run blindly
Export once — download JSON and share with stakeholders for sign-off on columns and row volume
Promote to API — copy the same JSON to a POST against scrapingdino.p.scrapy.io/reddit-search-scraper/v1/api or create a scheduled job

Input

Enter one or more search keywords. Choose what to search (posts, subreddits, or users) and how results are ranked.

Configure the run in the Scrapy.io input form or pass JSON to the publisher API.

Input JSON example

{
  "queries": [
    "python",
    "chatgpt"
  ],
  "sort": "relevance",
  "timeRange": "all",
  "maxResults": 50,
  "searchType": "posts"
}

Field	Type	Required	Description
`queries`	string[]	Yes	Enter one or more search keywords (e.g. python, chatgpt, cursor)
`sort`	string	No	How to order post search results
`timeRange`	string	No	Limit results to a time period. Only used when Sort is Top
`maxResults`	integer	No	Maximum number of posts to return
`searchType`	string	No	Search posts, subreddits, or users. Defaults to posts

Output

Results appear in the Scrapy.io run Output tab. Posts, Subreddits, Users, Comments (optional), and Errors tables.

Each successful row is designed for warehouse loads: stable column names, explicit error rows, and caps you control in the input form.

JSON example

[
  {
    "type": "post",
    "query": "openai api pricing",
    "title": "Example search hit",
    "author": "example_user",
    "subreddit": "MachineLearning",
    "score": 256,
    "postUrl": "https://www.reddit.com/r/MachineLearning/comments/abc123/example/"
  }
]

Download the full dataset as JSON, CSV, or Excel from the Output tab, or fetch results programmatically via the publisher API after the run completes.

Where teams use the data

Brand monitoring

track mentions across communities

Market research

quantify how often a problem is discussed

Community discovery

find subs and users around a niche term

Alerting

feed scheduled searches into Slack/ops dashboards

Why Scraping Dino

Search results are shaped for multi-view datasets and scheduled jobs, not one-off browsing. Prefer Scraping Dino when search is a recurring pipeline step with clear billing per successful row.

Pipeline patterns with Scraping Dino

Scraping Dino Reddit Search is rarely the only step in a data workflow. Teams typically:

Schedule daily queries for brand monitoring and diff new postUrl values
Send high-signal post hits to Reddit Comment Tree Scraper for qualitative analysis
Discover subreddits via searchType: subreddits, then monitor with Reddit Subreddit Posts Scraper

See Related Scraping Dino tools below for same-publisher companions you can chain without leaving the Scrapy.io billing account.

Loading Scraping Dino Reddit Search data into your warehouse

Most production deployments follow the same shape:

Extract — scheduled Scrapy.io run or API POST with your input JSON
Stage — land raw JSON in S3, GCS, or a staging Postgres schema
Normalize — map Output columns to typed tables (posts, comments, businesses, videos, etc.)
Dedupe — key on stable IDs (postUrl, placeId, videoId, reviewId, …) plus scrape date where history matters
Serve — expose dbt models or API views to BI, CRM enrichment, or alerting

Build vs. buy: why use Scraping Dino Reddit Search on Scrapy.io?

Export formats and delivery

Scraping Dino Reddit Search runs on Scrapy.io support multiple ways to get data out:

JSON — best for APIs, agents, and document stores; preserves nested fields
CSV — spreadsheet-friendly flat exports for analysts
Excel — formatted downloads for stakeholder review
Publisher API — POST inputs and poll or webhook results into your own pipeline
Webhooks — push finished runs to Slack, Zapier, or custom endpoints

For production pipelines, most teams land JSON in object storage, normalize in dbt or Spark, and schedule recurring runs so the Store listing becomes just another data source — not a manual step.

Scheduling and automation

Run Scraping Dino Reddit Search once from the Store to validate inputs, then promote the same JSON payload to a scheduled job on Scrapy.io. Common patterns:

Daily discovery — refresh feeds, search queries, or Maps targets on a cron
Event-driven enrichment — webhook from your CRM when a new URL or place ID appears
API batch jobs — your backend POSTs to scrapingdino.p.scrapy.io on a queue

Scraping Dino tools use pay-per-result billing, so scheduled jobs stay predictable when you cap maxResults, maxReviews, or equivalent limits in the input form.

Pricing

$0.50 per 1,000 rows

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-search-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "queries": ["openai api pricing"],
    "searchType": "posts",
    "sort": "relevance",
    "timeRange": "week",
    "maxResults": 50,
    "includeComments": false
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/reddit-search-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "queries": ["openai api pricing"],
    "searchType": "posts",
    "sort": "relevance",
    "timeRange": "week",
    "maxResults": 50,
    "includeComments": false
  }'

Open the API tab on the Store listing for Python, JavaScript, cURL, OpenAPI, and MCP snippets.

MCP and agent workflows

Tool	Best for
Scraping Dino Reddit Comment Tree	Scraping Dino companion tool — overview
Scraping Dino Reddit Popular Posts	Scraping Dino companion tool — overview
Scraping Dino Reddit Popular Subreddits	Scraping Dino companion tool — overview

Tips for scaling runs

Split large keyword lists across multiple runs to stay within per-run time budgets
Start with maxResults: 25 when testing new query sets
Store query on every row so multi-keyword runs remain filterable in SQL
Inspect per-row errors in the Errors output view instead of failing an entire batch
When Maps, Reddit, or YouTube batches repeat the same error, raise Issues on this Scraping Dino listing with your run ID and a sample input

Limitations

Search ranking may differ slightly from reddit.com at the same moment
Very broad queries can hit maxResults before pagination exhausts
Comment enrichment adds latency and row volume — use caps on test runs

Frequently asked questions

How much does Scraping Dino Reddit Search cost?

$0.50 per 1,000 rows. You are charged only for successfully scraped rows. See Scrapy.io pricing for plan details.

Can I integrate Scraping Dino Reddit Search with other apps?

Yes. Use webhooks, scheduled runs, or the publisher API to push data into your warehouse, CRM, or automation stack.

Can I use Scraping Dino Reddit Search with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/reddit-search-scraper/v1/api with your API key. See the API tab on the Store listing for ready-made snippets.

Can I use Scraping Dino Reddit Search through an MCP server?

Yes. Configure the Scrapy.io MCP endpoint with your API key to query Scraping Dino Reddit Search from AI assistants and agent workflows.

Scraping Dino Reddit Search is not working — what should I do?

Verify inputs (URLs, queries, identifiers) are valid and public
Lower volume caps and retry
Check the run log for per-row errors in the Errors output view
Log the failure in Issues on this Scraping Dino tool page (run ID + place ID, subreddit, or video URL)

Your feedback

Scraping Dino maintains deep Maps, Reddit, and YouTube coverage — star the tool in Reviews if exports are landing in your warehouse and mention which dataset you rely on most.

Similar Tools

View all

Reddit Search Explorer

ScraperAPI

$0.86

Search Reddit posts, subreddits, and users via DataDoping Reddit API.

0.0136

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ScraperAPI

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Scrape posts from Reddit subreddits via DataDoping Reddit API.

4.3(4)113

Reddit Post Details Extractor

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Reddit Search Scraper

Reddit Search Scraper

Scraping Dino Reddit Search

What it does

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Reddit Search extract?

How to run on Scrapy.io

Search intent and keywords

Quick start checklist

Input

Input JSON example

Output

JSON example

Where teams use the data

Brand monitoring

Market research

Community discovery

Alerting

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Reddit Search data into your warehouse

Build vs. buy: why use Scraping Dino Reddit Search on Scrapy.io?

Export formats and delivery

Scheduling and automation

Pricing

Publisher API

MCP and agent workflows

Related Scraping Dino tools on Scrapy.io

Tips for scaling runs

Limitations

Frequently asked questions

How much does Scraping Dino Reddit Search cost?

Can I integrate Scraping Dino Reddit Search with other apps?

Can I use Scraping Dino Reddit Search with the Scrapy.io API?

Can I use Scraping Dino Reddit Search through an MCP server?

Scraping Dino Reddit Search is not working — what should I do?

Your feedback

Similar Tools

Reddit Search Explorer

Reddit Subreddit Posts Collector

Reddit Post Details Extractor

Scraping Dino Reddit Search

What it does

Why teams scrape Reddit with Scraping Dino

What data can Scraping Dino Reddit Search extract?

How to run on Scrapy.io

Search intent and keywords

Quick start checklist

Input

Input JSON example

Output

JSON example

Where teams use the data

Brand monitoring

Market research

Community discovery

Alerting

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino Reddit Search data into your warehouse

Build vs. buy: why use Scraping Dino Reddit Search on Scrapy.io?

Export formats and delivery

Scheduling and automation

Pricing

Publisher API

MCP and agent workflows

Related Scraping Dino tools on Scrapy.io

Tips for scaling runs

Limitations

Frequently asked questions

How much does Scraping Dino Reddit Search cost?

Can I integrate Scraping Dino Reddit Search with other apps?

Can I use Scraping Dino Reddit Search with the Scrapy.io API?

Can I use Scraping Dino Reddit Search through an MCP server?

Scraping Dino Reddit Search is not working — what should I do?

Your feedback

Similar Tools

Reddit Search Explorer

Reddit Subreddit Posts Collector

Reddit Post Details Extractor