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Apple Podcasts Extractor
3 days trial then $25.00/month - No credit card required now
🍎 Scrape APPLE Podcasts
🧭 Country
countryEnumOptional
💡 Default to US (United States)
Value options:
"ai": string"ag": string"ar": string"am": string"au": string"at": string"az": string"bs": string"bh": string"by": string"be": string"bz": string"bm": string"bo": string"bw": string"br": string"bn": string"bg": string"kh": string"ca": string"cv": string"ky": string"cl": string"co": string"cr": string"cy": string"cz": string"dk": string"dm": string"do": string"ec": string"eg": string"sv": string"ee": string"fj": string"fi": string"fr": string"gm": string"de": string"gh": string"gr": string"gd": string"gt": string"gw": string"hn": string"hk": string"hu": string"in": string"id": string"ie": string"il": string"it": string"jp": string"jo": string"kr": string"la": string"lv": string"lb": string"lt": string"lu": string"mo": string"my": string"mt": string"mu": string"mx": string"fm": string"md": string"mn": string"mz": string"na": string"nl": string"nz": string"ni": string"ne": string"no": string"om": string"pa": string"py": string"pe": string"ph": string"pl": string"pt": string"qa": string"ru": string"sa": string"sg": string"sk": string"si": string"za": string"es": string"lk": string"kn": string"sz": string"se": string"ch": string"tw": string"tj": string"th": string"tt": string"tr": string"tm": string"ug": string"ua": string"ae": string"gb": string"us": string"ve": string"vn": string"vg": string"zw": string🌐 PROXY NETWORKING
dev_proxy_configobjectOptional
💡 Supported protocol:
HTTP(S), SOCKS5{http|socks5}://{user:pass}@{hostname|ip-address}:port
Example: socks5://example.com:9000
♻️ CUSTOM FIELD
dev_transform_fieldsarrayOptional
💡 Transform the resulting output. Select only needed fields.
For nested object use DOT. For example:
address.streetAddress
For nested array use NUMBER (index of array element starting from index=0). For example:
images.0.url
📁 CUSTOM STORAGE
dev_dataset_namestringOptional
💡 Save results into custom named Dataset, use mask to customize dataset name{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)
This masks can be used to autogenerate Dataset Name.
example: data-{DATE}
Depending on today date the dataset name will be: data-20230603
default: data-{ACTOR}-{DATE}-{TIME}
cat- 9 monthly users
- 3 stars
- 100.0% runs succeeded
- 11 hours response time
- Created in Jul 2024
- Modified about 10 hours ago
