Extract names, emails, and companies from any website with Apify and sync them into Google Contacts automatically.
Run Apify actors on directories or event sites and create hundreds of contacts without manual entry.
Neotask maps scraped data to the right Google Contacts fields - name, email, phone, and company.
Re-run actors on a schedule and Neotask updates existing contacts rather than creating duplicates.
Scrape business listings from directories and create a matching Google Contact for each result with company and role filled in.
Pull speaker or attendee lists from conference websites and add each person to Google Contacts with relevant event tags.
Use Apify LinkedIn actors to extract profile data and build a structured contact record for each person in your pipeline.
Scrape team pages from competitor or partner sites and store key contacts with their role and department noted.
Schedule Apify actors to re-scrape sources weekly and update existing Google Contacts records when information changes.
Tag each imported contact with the scrape source so you can filter your Google Contacts list by campaign or channel.
Connect your Apify account and Google Contacts account to Neotask - Neotask reads your actor output schema to understand the available data fields.
Describe the automation in plain language, for example 'run the business directory actor and create a Google Contact for each result with their email and company' - Neotask confirms field mappings before writing.
Neotask runs the actor on your schedule, parses each dataset row, and creates or updates Google Contacts automatically - deduplicating against existing records.
| Capability | Apify | Google Contacts |
|---|---|---|
| Web scraping | Yes | - |
| Actor library access | Yes | - |
| Data extraction at scale | Yes | - |
| Schedule actor runs | Yes | - |
| Contact creation | - | Yes |
| Contact update | - | Yes |
| Contact search and dedup | - | Yes |
| Contact grouping and labels | - | Yes |
Apify's actor library can extract structured data from almost any website - business directories, event pages, LinkedIn profiles, team pages, and more. Google Contacts gives you a centralized place to store and act on the people you find. The gap between the two has always been a manual export-and-import step that eats time and introduces errors.
Neotask closes that gap. Describe what you want in plain language - "run this actor on the business directory and create a Google Contact for each result" - and Neotask handles the API calls on both sides. It reads the Apify dataset output, identifies the relevant fields, and writes each record into Google Contacts with name, email, phone, company, and any custom notes you specify.
Manual contact entry breaks down above a few dozen records. Apify actors can return thousands of structured results in a single run. Neotask processes the full dataset, deduplicates against existing contacts, and updates rather than overwrites when a record already exists.
You stay in control of the mapping. If an actor returns fields that do not match standard Google Contacts labels, Neotask asks you to confirm the mapping before writing anything. Once confirmed, the mapping is saved and future runs apply it automatically.
Sales teams use this combination to build targeted prospect lists from industry directories without paying for a dedicated data enrichment tool. Event organizers scrape attendee pages and populate their contacts list before the event starts. Recruiters extract LinkedIn profiles and store candidates with role and company pre-filled.
In each case, the workflow is the same: run an Apify actor, let Neotask parse the output, and find the contacts already waiting in Google Contacts. No CSV exports, no column matching in spreadsheets, no duplicates to clean up afterward.
Confirm field mappings once and Neotask remembers them for every future run of the same actor.
Use Google Contacts labels to tag each batch by source so you can filter your list by campaign or scrape origin later.
Schedule actor re-runs weekly so Neotask keeps existing contacts current rather than letting records go stale.
No. Neotask checks for existing Google Contacts records before writing. If a matching contact is found by email or name, it updates the existing record instead of creating a new one. You can also configure it to skip rather than update if you prefer to preserve manually edited records.
Actors that return structured output with clear name, email, phone, or company fields work best. Popular choices include business directory scrapers, LinkedIn profile extractors, and event attendee page scrapers. Neotask works with any actor that stores output in an Apify dataset and can inspect the schema to suggest field mappings.
No coding is required. You connect both accounts using standard OAuth and API token flows. Neotask inspects your actor output schema and walks you through confirming which fields map to which Google Contacts properties. Once confirmed, the mapping is saved and applies automatically to every future run.
Yes. When describing your automation, you can instruct Neotask to populate the notes field or apply a specific label to every contact from a given actor run. For example, tag all contacts from a conference scrape with the event name so you can filter them later in Google Contacts.
Neotask asks you to confirm the mapping before writing any records. You specify which actor output fields correspond to which Google Contacts properties. Non-standard fields can be written to the notes section or a custom label. The confirmed mapping is saved so you only need to do this once per actor.
Neotask connects Apify and Google Contacts so every actor run produces ready-to-use contact records - no exports, no column matching, no duplicate cleanup.
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