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Documentation Index

Fetch the complete documentation index at: https://brezelscraper.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

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How credits work

Before a job starts, BrezelScraper calculates an estimate based on your configuration. That estimate changes with settings such as:
  • Number of keywords
  • Search depth
  • Max results
  • Review scraping
  • Image collection
  • Contact enrichment
If your available balance is too low, BrezelScraper blocks the job before launch and asks you to add credits first.

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Estimate vs actual cost

The estimate is a pre-run projection. The final charge depends on what the scraper actually collects. In practice:
  • Broader jobs usually cost more
  • Optional enrichments increase cost
  • Actual cost can be lower than the estimate if fewer records are found
You can review the final cost on the job detail page after the run finishes.

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Where to manage billing

Open Credits in the dashboard to:
  • Check your current balance
  • Buy more credits
  • Review transaction history
  • Inspect the current pricing reference

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Buying credits

The purchase flow is simple:
  1. Open Credits
  2. Choose the amount you want to buy
  3. Continue to Stripe checkout
  4. Return to the dashboard after payment
After a successful purchase, your balance refreshes automatically.

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Transaction history

Your billing history can include:
  • Purchases
  • Usage or consumption
  • Bonus credits
  • Refunds
  • Adjustments
Use this page to understand where your balance changed and which jobs consumed credits.

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Common billing questions

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Do I need a subscription?

No. BrezelScraper is designed for pay-as-you-go usage.

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What happens if I run out of credits?

New jobs will not start until you add balance or reduce the job scope.

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Why did the dashboard send me to Credits?

Your current setup needs more balance than you have available. Add credits or lower the depth, caps, or enrichments and retry.

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Where can I see current pricing?

Open Credits and expand the pricing reference card. That is the best place to check the current in-product pricing breakdown before launch.

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Ways to keep spend predictable

  • Use a max results cap for early tests
  • Keep enrichments off until you confirm data quality
  • Estimate first, then scale the same setup gradually
  • Split large research projects into smaller named jobs

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Next step

If you want to automate runs after you understand the pricing model, continue with API access.