docs: drop hard-coded per-endpoint credit prices again, 0.61.1 (SCR-347)

CHANGELOG.md

@@ -1,5 +1,9 @@
 # Changelog
 
+## 0.61.1 — 2026-10-15
+
+- **Removed per-endpoint credit prices from docstrings and docs again.** Baidu, ChatGPT, eBay image search, Google Shopping offers, LoopNet and the Apartments guide had picked up hard-coded "Costs N credits" lines, which the 2026-10-14 repricing made wrong. Prices are configured per endpoint by ScrapeBadger and served live from `GET /public/pricing`; see the per-endpoint docs at docs.scrapebadger.com. Free reference endpoints still say they are free.
+
 ## 0.61.0 — 2026-10-14
 
 - **`BlockedError` — why a web scrape was blocked.** A `web.scrape` whose every attempt hit an anti-bot wall (`422`, `error: "blocking_page_detected"`) now raises `BlockedError`, a subclass of `ValidationError`, so existing `except ValidationError` handlers still catch it. It exposes `block_kind` (`"antibot"`, `"captcha"`, `"rate_limit"`, `"ip_ban"`, `"geo_block"`, `"auth_wall"`, `"empty"` or `"other"`), `vendor` (the protection that served the wall, e.g. `"cloudflare"`, `"datadome"`, `"akamai"`, `"aws_waf"`), `captcha` (the CAPTCHA gating the page when `block_kind == "captcha"`: `system`, `version`, `gate`, `solvable`, `params` such as `sitekey`) and `data` (the scrape result returned with the block). Blocked requests are not charged.

docs/apartments.md

@@ -93,4 +93,5 @@ as schools.
 
 ## Cost
 
-5 credits per search page and per property.
+Each search page and each property is billed as one request. Current prices are
+on the [Credits & Pricing](https://docs.scrapebadger.com/credits-and-pricing) page.

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "scrapebadger"
-version = "0.61.0"
+version = "0.61.1"
 description = "Official Python SDK for ScrapeBadger - Async web scraping APIs for Twitter and more"
 readme = "README.md"
 license = { text = "MIT" }

src/scrapebadger/__init__.py

@@ -1336,7 +1336,7 @@ async def main():
     ZestimateHistoryPoint as ZillowZestimateHistoryPoint,
 )
 
-__version__ = "0.61.0"
+__version__ = "0.61.1"
 
 __all__ = [
     # TikTok core models

src/scrapebadger/baidu/client.py

@@ -80,8 +80,6 @@ async def search(
     ) -> SearchResponse:
         """Search baidu.com — the web SERP.
 
-        Costs 5 credits.
-
         Args:
             query: Search keywords, e.g. ``"咖啡机"`` or ``"coffee machine"``.
             page: Result page, 1-76. Baidu's SERP stops serving past ~76 pages
@@ -127,8 +125,6 @@ async def news(
     ) -> NewsResponse:
         """Search the Baidu news vertical.
 
-        Costs 5 credits.
-
         Args:
             query: Search keywords, e.g. ``"人工智能"``.
             page: Result page, 1-76.
@@ -155,8 +151,6 @@ async def news(
     async def images(self, query: str, *, page: int = 1) -> ImagesResponse:
         """Search Baidu images.
 
-        Costs 5 credits.
-
         Args:
             query: Search keywords, e.g. ``"猫"``.
             page: Result page, 1-50. Baidu serves 30 images per page.
@@ -183,8 +177,6 @@ async def images(self, query: str, *, page: int = 1) -> ImagesResponse:
     async def autocomplete(self, query: str) -> AutocompleteResponse:
         """Baidu search-box suggestions — the cheapest call in this API.
 
-        Costs 1 credit.
-
         Args:
             query: Partial search term, e.g. ``"咖啡"`` or ``"coff"``.
 

src/scrapebadger/chatgpt/ask.py

@@ -47,7 +47,7 @@ async def ask(
     ) -> AskResponse:
         """Ask ChatGPT a question and get the answer with its sources.
 
-        Costs 20 credits. Typical latency is 20-25s ungrounded, 30-70s with web search.
+        Typical latency is 20-25s ungrounded, 30-70s with web search.
 
         Args:
             prompt: The prompt to send. Maximum 4096 characters.

src/scrapebadger/chatgpt/brand.py

@@ -54,8 +54,6 @@ async def visibility(
     ) -> BrandVisibilityResponse:
         """Analyse how a brand shows up in ChatGPT's answer to a prompt.
 
-        Costs 25 credits.
-
         Args:
             prompt: The prompt to send. Maximum 4096 characters.
             brand: The brand name to look for in the answer.

src/scrapebadger/chatgpt/reference.py

@@ -36,8 +36,6 @@ def __init__(self, client: BaseClient) -> None:
     async def models(self, *, country: str = "US") -> ModelsResponse:
         """Get the models chatgpt.com currently offers.
 
-        Costs 1 credit.
-
         Args:
             country: ISO-3166 alpha-2 egress country. Defaults to "US".
 

src/scrapebadger/ebay/search.py

@@ -132,7 +132,7 @@ async def search_by_image(
         This is what the camera icon in eBay's search bar does: the picture is
         uploaded to eBay, which answers with a handle for it, and that handle is
         then searched like a keyword. The results are ordinary listings, so every
-        filter below behaves as it does on :meth:`search`. Costs 10 credits.
+        filter below behaves as it does on :meth:`search`.
 
         There is deliberately no ``sort_by``: eBay ignores sorting on a visual
         results page.

src/scrapebadger/google/shopping.py

@@ -141,7 +141,7 @@ async def offers(
         first) or ``catalog_id`` (Google Shopping ``catalogid`` — the
         ``catalog_id`` on ``shopping.search`` tiles or ``prds=catalogid:…`` in
         a Google Shopping URL; sellers read straight off Google's product
-        page). Costs 14 credits.
+        page).
 
         Args:
             barcode: Product barcode — a GTIN-8/UPC-A/EAN-13/GTIN-14.

src/scrapebadger/loopnet/brokers.py

@@ -39,7 +39,7 @@ async def get(
         *,
         market: str = "us",
     ) -> BrokerResponse:
-        """Get a LoopNet broker's profile and their listings. Costs 8 credits.
+        """Get a LoopNet broker's profile and their listings.
 
         Args:
             slug: The broker's URL slug (e.g. "jane-doe").

src/scrapebadger/loopnet/listings.py

@@ -33,7 +33,7 @@ def __init__(self, client: BaseClient) -> None:
         self._client = client
 
     async def get(self, listing_id: str, *, market: str = "us") -> ListingResponse:
-        """Get a single LoopNet listing's full detail. Costs 12 credits.
+        """Get a single LoopNet listing's full detail.
 
         Args:
             listing_id: The LoopNet listing id.

src/scrapebadger/loopnet/search.py

@@ -48,7 +48,7 @@ async def search(
         min_size: int | None = None,
         max_size: int | None = None,
     ) -> SearchResponse:
-        """Search LoopNet for commercial listings. Costs 10 credits.
+        """Search LoopNet for commercial listings.
 
         Args:
             location: City/state ("Houston, TX"), ZIP, state code, or "usa" (required).

src/scrapebadger/vinted/search.py

@@ -91,7 +91,7 @@ async def search(
                 no native country filter, so ScrapeBadger applies this filter.
                 When set, each returned item gains a ``seller_country_code`` and
                 the response gains a top-level ``seller_country`` echo.
-                Billing: a search is a flat 5 credits whatever filters you
+                Billing: a search is one flat price whatever filters you
                 pass; seller lookups are not billed on top.
 
         Returns: