Nimbryxo Studio

Use Pinterest Rich Pin, Board & Creator Field Scraper with Python

Collect Pinterest Pins, profiles, boards and comments with media variants, creator and board detail, product and SEO fields, filtered by saves, followers, verification and more.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "boardUrls": [],
  "commerceOnly": false,
  "enrichDetails": false,
  "excludeAds": false,
  "imageOnly": false,
  "includeCommentReplies": false,
  "includeComments": false,
  "keywords": [],
  "maxCommentReplies": 10,
  "maxComments": 10,
  "maxPages": 0,
  "mode": "auto",
  "pinUrls": [],
  "requireOutboundLink": false,
  "resolveNumericIds": true,
  "search": "cats",
  "startUrls": [],
  "usernames": [],
  "verifiedOnly": false
}

Download input.example.json and save your reviewed copy as input.json.

FieldTypeRequiredDescription
modestringoptionalChoose a collection type. Auto-detect accepts mixed public Pinterest links.
keywordsarrayoptionalOne or more words or phrases for search modes.
pinUrlsarrayoptionalPublic Pin links or numeric Pin IDs.
usernamesarrayoptionalUsernames, @usernames, or public profile links.
boardUrlsarrayoptionalPublic board links or username/board-name paths.
searchstringoptionalKeyword to search on Pinterest. Results will be pins matching this query.
startUrlsarrayoptionalList of Pinterest URLs to scrape. Supports pin URLs, user profile URLs, board URLs, and search URLs.
maxItemsintegeroptionalMaximum number of Pins/source records to collect. Comment rows are additional and are capped per Pin by maxComments. Set to 0 for unlimited.
maxPagesintegeroptionalMaximum pagination pages per search, profile, or board. 0 means continue until Pinterest has no next page.
minSavesintegeroptionalKeep Pins only when Pinterest supplies at least this many saves.
minCreatorFollowersintegeroptionalKeep Pins only when Pinterest supplies a creator follower count at or above this value.
verifiedOnlybooleanoptionalKeep only rows explicitly marked verified by Pinterest.
requireOutboundLinkbooleanoptionalKeep only Pins with a public destination link supplied by Pinterest.
imageOnlybooleanoptionalExclude Pins that Pinterest identifies as video.
excludeAdsbooleanoptionalExclude Pins Pinterest marks as promoted or sponsored.
commerceOnlybooleanoptionalKeep only Pins with source-backed product or shopping metadata.
includeCommentsbooleanoptionalWhen enabled, add one real comment/activity row for each collected Pin. Pinterest's public cookieless comment path is used automatically.
maxCommentsintegeroptionalMaximum public comment/activity rows to add per Pin when comments are enabled.
includeCommentRepliesbooleanoptionalWhen comments are collected, also fetch depth-one replies for comments that report replies. Adds one request per parent comment.
maxCommentRepliesintegeroptionalUpper bound on replies fetched for each top-level comment.
enrichDetailsbooleanoptionalWhen enabled, each pin from search/profile/board results will be enriched with accurate stats (reaction count, follower count, etc.) by fetching its detail page. Slower but more complete data.
resolveNumericIdsbooleanoptionalCreator feeds sometimes return encrypted Pin IDs that Pinterest will not open. When enabled, the actor follows the creator's public RSS feed (or the numeric user-pins feed) to recover openable numeric Pin IDs. Disable it to keep only the IDs the feed itself returns.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/xfqogY4S7Y5AzxRrH/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

One record per Pin, profile, board or comment with media variants, creator and board detail, and engagement counts.

Questions before you run

Which inputs are required?

No top-level fields are marked required in the published schema. Conditional requirements can still apply; check the README.

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Generated from source build kJcYHGoSNs6OYnGI0 and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.