AZ Quotes Scraper

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Collect quote data from AZ Quotes with author context, topic tags, popularity signals, and source links in a clean, analysis-ready dataset.

This actor is useful for content teams, researchers, publishing workflows, and quote intelligence pipelines that need consistently structured records at scale.

Features

• Author and topic targeting - Collect records by specific author, author letter, topic, or custom start URLs.
• Machine-readable discovery flow - Starts from structured URL sources for stable content discovery.
• Rich quote records - Captures quote text, author details, tags, popularity signal, and source metadata.
• Strict data hygiene - Removes null and empty values before saving each item.
• Automatic deduplication - Prevents duplicate records across overlapping pages and pagination.
• Pagination support - Continues through additional pages until your target count is reached.

Use Cases

Editorial Content Planning

Build reliable quote pools for newsletters, social content, and thematic campaigns.

Author Intelligence

Create author-level datasets for trend analysis, publication planning, and reference systems.

Topic Research

Track quote coverage around topics like leadership, success, creativity, and motivation.

Data Enrichment Pipelines

Feed clean quote records into downstream systems such as BI dashboards, CMS imports, or AI workflows.

Input Parameters

Output Data

Each dataset item includes cleaned, non-empty fields only.

Usage Examples

Collect by Topic

{
"topic":"inspirational",
"results_wanted":50,
"max_pages":5
}

Collect by Author Name

{
"searchAuthor":"Maya Angelou",
"results_wanted":40,
"max_pages":4
}

Collect from Custom URLs

{
"startUrls":"https://www.azquotes.com/author/4399-Albert_Einstein\nhttps://www.azquotes.com/author/2500-Dale_Carnegie",
"results_wanted":60,
"max_pages":6
}

Collect by Author Letter

{
"authorLetter":"e",
"results_wanted":75,
"max_pages":8
}

Sample Output

{
"quote_id":48682,
"quote":"The successful man will profit from his mistakes and try again in a different way.",
"author":"Dale Carnegie",
"author_id":2500,
"author_slug":"Dale Carnegie",
"author_url":"https://www.azquotes.com/author/2500-Dale_Carnegie",
"tags":[
"Success",
"Failure",
"Inspirational"
],
"likes":2934,
"source":"https://www.azquotes.com/quote/48682",
"source_page":"https://www.azquotes.com/author/2500-Dale_Carnegie",
"scraped_at":"2026-03-14T14:20:11.312Z"
}

Tips for Best Results

Start Small

Begin with 20 to 50 results to validate your targeting before larger runs.

Prefer Specific Filters

Using searchAuthor or topic usually produces faster and more relevant datasets.

Use Proxies for Large Runs

For larger extractions, enable proxy configuration to improve consistency.

Balance Depth and Speed

Increase max_pages only when you need broader coverage.

Integrations

• Google Sheets - Export and analyze quote datasets quickly.
• Airtable - Build searchable quote libraries and editorial databases.
• Make - Trigger automations after each run.
• Zapier - Send results to downstream tools.
• Webhooks - Deliver fresh data to custom services.

Export Formats

• JSON
• CSV
• Excel
• XML

Frequently Asked Questions

Does the actor remove duplicates?

Yes. Duplicate entries are blocked before they are written to the dataset.

Can output contain null values?

No. Empty, null, and undefined values are removed before save.

Can I target a single author?

Yes. Use searchAuthor, startUrl, or startUrls.

Can I collect topic-based quotes?

Yes. Use the topic input with your preferred maximum result count.

What controls extraction size?

results_wanted sets the cap, while max_pages controls depth.

Support

For issues or feature requests, use the Apify actor issue channel or support options in your Apify Console.

Legal Notice

Use this actor responsibly and ensure your data collection complies with applicable laws, policies, and website terms.