YouTube Search Scraper

Scraper

$0.5/1000

results

Search YouTube by keyword (optional country) and export matching videos — affordable discovery at $0.50 per 1,000 results for research and lead lists.

Scraping Dino

3.0(3)

Try it out

YouTube Search Scraper

Scraper

Search YouTube by keyword (optional country) and export matching videos — affordable discovery at $0.50 per 1,000 results for research and lead lists.

Scraping Dino

3.0(3)

$0.5/1000results

Try it out

Scraping Dino YouTube Search

Keyword → structured video hits for research, monitoring, and catalog seeding.

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

What it does

Runs one or many search queries
Optional country targeting and maxResults
Returns video IDs, titles, and listing metadata

Why teams scrape YouTube with Scraping Dino

YouTube is the largest public video catalog — channel stats, upload cadence, comments, and recommendation graphs power creator research, competitive intelligence, and audience insight. A scraping youtube job on Scrapy.io hydrates channel URLs, video IDs, or search queries into structured JSON without maintaining your own headless browser farm.

Scraping Dino YouTube Search supports batch inputs (channels, video IDs, or keywords) with per-target caps so nightly jobs stay within budget. Export to JSON, CSV, or Excel, or POST the same payload to scrapingdino.p.scrapy.io from your backend.

Scraping Dino YouTube tools chain naturally: resolve channels, list uploads or Shorts, scrape comments on top performers, or expand related videos for graph analysis — all with warehouse-friendly schemas.

What data can Scraping Dino YouTube Search extract?

This scraping youtube on Scrapy.io exports structured fields including:

Query — Search term
Video ID — Result identifier
Title — Video title
Channel — Uploader
Views — View count
Thumbnail — Preview URL
URL — Watch link

How to run on Scrapy.io

Open Scraping Dino YouTube 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 YouTube Search while researching scraping youtube and related terms such as scrape youtube, youtube scrape, youtube scraping, scraper youtube. 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 YouTube 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/youtube-search-scraper/v1/api or create a scheduled job

Most teams keep a "golden" input file in git for Scraping Dino YouTube 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

Search YouTube by keyword. Optional country narrows locale.

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

Input JSON example

{
  "queries": [
    "nodejs",
    "machine learning"
  ],
  "country": "US",
  "maxResults": 50
}

Field	Type	Required	Description
`queries`	string[]	Yes	Search keywords
`country`	string	No	Optional ISO country code (e.g. US, GB, IN)
`maxResults`	integer	No	Maximum results per query (1–500)

Output

Results appear in the Scrapy.io run Output tab. Videos 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": "video",
    "query": "web scraping tutorial",
    "videoId": "abc123xyz12",
    "title": "Intro to Web Scraping",
    "author": "Dev Channel",
    "views": 89000,
    "url": "https://www.youtube.com/watch?v=abc123xyz12"
  }
]

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

Topic monitoring

track how a keyword’s SERP shifts

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.

Creator discovery

find channels via what they publish

Competitive SERP

see who owns a search niche

Pipeline seeding

pass video IDs to metadata/comments scrapers

Why Scraping Dino

Search is priced as a cheap discovery hop into richer YouTube tools. Prefer Scraping Dino when keyword results must become durable IDs in your database.

Pipeline patterns with Scraping Dino

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

Harvest videoId lists for YouTube Comments Scraper or Video Scraper enrichment
Track keyword SERPs monthly for content strategy

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

Loading Scraping Dino YouTube 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 YouTube 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 YouTube 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 YouTube 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 YouTube 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 YouTube 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 results

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/youtube-search-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "queries": ["web scraping tutorial"],
    "country": "US",
    "maxResults": 50
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/youtube-search-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "queries": ["web scraping tutorial"],
    "country": "US",
    "maxResults": 50
  }'

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

MCP and agent workflows

Scraping Dino YouTube 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 YouTube Search for MCP connection snippets.

Tool	Best for
Scraping Dino YouTube Channel Profiles	Scraping Dino companion tool — overview
Scraping Dino YouTube Channel Shorts	Scraping Dino companion tool — overview
Scraping Dino YouTube Channel Videos	Scraping Dino companion tool — overview

Tips for scaling runs

Split long keyword lists across runs by topic cluster
Log query and country on every row for reproducible research
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 varies by country and time
Broad queries hit maxResults before exhausting all matches

Scraping Dino YouTube 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 YouTube Search cost?

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

Can I integrate Scraping Dino YouTube 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 YouTube Search with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/youtube-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 YouTube Search through an MCP server?

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

Scraping Dino YouTube 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

YouTube Video Finder

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5.0(4)131

YouTube Video Data Extractor

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$5.49

Fetch metadata for one or more YouTube videos.

4.3(3)121

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Fetch YouTube channel profile metadata and statistics from handles, URLs, or channel IDs.

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Scraping Dino YouTube Search

Keyword → structured video hits for research, monitoring, and catalog seeding.

What it does

Runs one or many search queries
Optional country targeting and maxResults
Returns video IDs, titles, and listing metadata

Why teams scrape YouTube with Scraping Dino

What data can Scraping Dino YouTube Search extract?

This scraping youtube on Scrapy.io exports structured fields including:

Query — Search term
Video ID — Result identifier
Title — Video title
Channel — Uploader
Views — View count
Thumbnail — Preview URL
URL — Watch link

How to run on Scrapy.io

Open Scraping Dino YouTube 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 YouTube 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/youtube-search-scraper/v1/api or create a scheduled job

Input

Search YouTube by keyword. Optional country narrows locale.

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

Input JSON example

{
  "queries": [
    "nodejs",
    "machine learning"
  ],
  "country": "US",
  "maxResults": 50
}

Field	Type	Required	Description
`queries`	string[]	Yes	Search keywords
`country`	string	No	Optional ISO country code (e.g. US, GB, IN)
`maxResults`	integer	No	Maximum results per query (1–500)

Output

Results appear in the Scrapy.io run Output tab. Videos 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": "video",
    "query": "web scraping tutorial",
    "videoId": "abc123xyz12",
    "title": "Intro to Web Scraping",
    "author": "Dev Channel",
    "views": 89000,
    "url": "https://www.youtube.com/watch?v=abc123xyz12"
  }
]

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

Topic monitoring

track how a keyword’s SERP shifts

Creator discovery

find channels via what they publish

Competitive SERP

see who owns a search niche

Pipeline seeding

pass video IDs to metadata/comments scrapers

Why Scraping Dino

Search is priced as a cheap discovery hop into richer YouTube tools. Prefer Scraping Dino when keyword results must become durable IDs in your database.

Pipeline patterns with Scraping Dino

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

Harvest videoId lists for YouTube Comments Scraper or Video Scraper enrichment
Track keyword SERPs monthly for content strategy

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

Loading Scraping Dino YouTube 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 YouTube Search on Scrapy.io?

Export formats and delivery

Scraping Dino YouTube 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 YouTube 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 results

Publisher API

curl -X POST "https://scrapingdino.p.scrapy.io/youtube-search-scraper/v1/api" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "queries": ["web scraping tutorial"],
    "country": "US",
    "maxResults": 50
  }'

Bulk runs via the scraper endpoint:

curl -X POST "https://scrapingdino.p.scrapy.io/youtube-search-scraper/v1/scraper" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: YOUR_API_KEY" \
  -d '{
    "queries": ["web scraping tutorial"],
    "country": "US",
    "maxResults": 50
  }'

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 YouTube Channel Profiles	Scraping Dino companion tool — overview
Scraping Dino YouTube Channel Shorts	Scraping Dino companion tool — overview
Scraping Dino YouTube Channel Videos	Scraping Dino companion tool — overview

Tips for scaling runs

Split long keyword lists across runs by topic cluster
Log query and country on every row for reproducible research
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 varies by country and time
Broad queries hit maxResults before exhausting all matches

Frequently asked questions

How much does Scraping Dino YouTube Search cost?

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

Can I integrate Scraping Dino YouTube 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 YouTube Search with the Scrapy.io API?

Yes. POST to https://scrapingdino.p.scrapy.io/youtube-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 YouTube Search through an MCP server?

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

Scraping Dino YouTube 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

YouTube Video Finder

ScraperAPI

$0.94

Search YouTube by keyword and return matching videos.

5.0(4)131

YouTube Video Data Extractor

ScraperAPI

$5.49

Fetch metadata for one or more YouTube videos.

4.3(3)121

YouTube Channel Insights Scraper

ScraperAPI

$5.41

Fetch YouTube channel profile metadata and statistics from handles, URLs, or channel IDs.

4.4(5)108

YouTube Search Scraper

YouTube Search Scraper

Scraping Dino YouTube Search

What it does

Why teams scrape YouTube with Scraping Dino

What data can Scraping Dino YouTube 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

Topic monitoring

Creator discovery

Competitive SERP

Pipeline seeding

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino YouTube Search data into your warehouse

Build vs. buy: why use Scraping Dino YouTube 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 YouTube Search cost?

Can I integrate Scraping Dino YouTube Search with other apps?

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

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

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

Your feedback

Similar Tools

YouTube Video Finder

YouTube Video Data Extractor

YouTube Channel Insights Scraper

Scraping Dino YouTube Search

What it does

Why teams scrape YouTube with Scraping Dino

What data can Scraping Dino YouTube 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

Topic monitoring

Creator discovery

Competitive SERP

Pipeline seeding

Why Scraping Dino

Pipeline patterns with Scraping Dino

Loading Scraping Dino YouTube Search data into your warehouse

Build vs. buy: why use Scraping Dino YouTube 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 YouTube Search cost?

Can I integrate Scraping Dino YouTube Search with other apps?

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

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

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

Your feedback

Similar Tools

YouTube Video Finder

YouTube Video Data Extractor

YouTube Channel Insights Scraper